How can low-carbon help high-quality urban development?-Empirical evidence from low-carbon city pilot policies

High-quality development is the paramount task for comprehensively building a socialist modernized country. The low-carbon city pilot policy, with cities as the unit of action, provides new opportunities for high-quality economic transformation. Based on panel data from 261 cities between 2005 and 2018, this study calculates the level of high-quality economic development in Chinese cities, constructs a multi-period difference-in-differences model, analyzes the impact of the low-carbon city pilot policy on high-quality economic development, and explores the policy's heterogeneous effects on high-quality development in different types of cities and its transmission mechanism. The research findings show that the low-carbon city pilot policy can significantly promote high-quality economic development in cities and has heterogeneous effects in terms of regional differences, city types, and city scale. The effects are relatively greater in the eastern region, non-resource-based cities, and mega-cities. The low-carbon city pilot policy promotes high-quality economic development through mechanisms such as technological progress effects, resource agglomeration effects, and government action improvement effects. Combining theoretical analysis with empirical results, this study proposes policy recommendations to enhance the effectiveness of the low-carbon city pilot policy in promoting high-quality development.

Mobility census for monitoring rapid urban development

Monitoring urban structure and development requires high-quality data at high spatio-temporal resolution. While traditional censuses have provided foundational insights into demographic and socio-economic aspects of urban life, their pace may not always align with the pace of urban development. To complement these traditional methods, we explore the potential of analysing alternative big-data sources, such as human mobility data. However, these often noisy and unstructured big data pose new challenges. Here, we propose a method to extract meaningful explanatory variables and classifications from such data. Using movement data from Beijing, which are produced as a by-product of mobile communication, we show that meaningful features can be extracted, revealing, for example, the emergence and absorption of subcentres. This method allows the analysis of urban dynamics at a high-spatial resolution (here 500 m) and near real-time frequency, and high computational efficiency, which is especially suitable for tracing event-driven mobility changes and their impact on urban structures.

Urban densification in the Netherlands and its impact on mental health: An expert-based causal loop diagram

Urban densification is a key strategy to accommodate rapid urban population growth, but emerging evidence suggests serious risks of urban densification for individuals' mental health. To better understand the complex pathways from urban densification to mental health, we integrated interdisciplinary expert knowledge in a causal loop diagram via group model building techniques. Six subsystems were identified: five subsystems describing mechanisms on how changes in the urban system caused by urban densification may impact mental health, and one showing how changes in mental health may alter urban densification. The new insights can help to develop resilient, healthier cities for all.

Sustainability outcomes and policy implications: Evaluating China's "old urban neighborhood renewal" experiment

Globally, old urban neighborhood transformation has become a new urban sustainability focus for its significant contribution to the United Nation's Sustainable Development Goal 11. A regeneration-oriented approach is particularly important for Chinese cities with a dwindling land supply, obsoleting infrastructure, and inadequate standard of living. Using a mixed-methods approach informed by BREEAM Communities, we examined two Chinese initiatives-old urban neighborhood renewal (OUNR) and sponge city development (SCD)-through a comprehensive study of pilot project sustainability, policy emphases and gaps, and broader governance implications. We found that SCD's top-down technocratic management was highly efficient in enhancing neighborhood hydrological functions and physical environment. However, successes were undermined by the lack of climate considerations and civic participation. Besides actionable recommendations for applied scholarship and policymaking in China, we provide insight into how the OUNR/SCD initiatives may broadly inform worldwide urban regeneration practices through project and policy experimentations that build adaptive capacity.

Using fs/QCA to explore the influencing factors of urban green infrastructure development and its combinational drivers: the case of the Yangtze River Delta region of China

High levels of urban green infrastructure (UGI) development can help mitigate the climate, biodiversity, and habitat crises faced by cities and support the achievement of sustainable urban development. Based on the relevant data of 41 cities in the Yangtze River Delta region obtained from 2011 to 2020, this study measured the development level of natural and geographic conditions, economic development, urban construction, social and cultural development, and eco-environment quality and urban green infrastructure (UGI); evaluated the development trend of UGI in the region during the 12th Five-Year Plan and 13th Five-Year Plan by using entropy TOPSIS; and used fs/QCA to explain the high-level development path of each city toward the achievement of a green infrastructure. The results showed that (1) the development level of UGI in the Yangtze River Delta region decreases from southeast to northwest, and gradually decreases from Shanghai, Hangzhou, and other central cities. (2) There were several different configurations of high levels and non-high levels of UGI development drivers across regions, confirming the existence of multiple causality and asymmetry indices in the drivers of UGI. (3) During the "12th Five-Year Plan" and the "13th Five-Year Plan" period, the conditions needed to achieve a high level of UGI gradually became stricter, expanding from nature-social culture and urban construction-eco-environmental drivers to nature-urban construction, nature-social culture-eco-environmental, urban construction-economy-social culture-eco-environmental drivers. Research findings can provide greater guidance and implications for future sustainable urban development.

Predicting the impacts of urban development on urban thermal environment using machine learning algorithms in Nanjing, China

The urban thermal environment undergoes significant influences from changes in land use/land cover (LULC). This article uses CA-ANN and ANN algorithms to forecast LULC and changes in the urban thermal environment in Nanjing for the years 2030 and 2040. It investigates the interplay between LULC changes, land surface temperature (LST), and the urban thermal field variance index (UTFVI). The findings reveal that urban land exhibited a significant expansion trend from 2000 to 2019, reaching 1083.43 km2 in 2019. The forecast indicates that urban land may increase by 8.79% and 10.92% by 2030 and 2040, respectively. Conversely, vegetation and bare land may decrease. The LST is likely to continue to rise, accompanied by a significant expansion of the high temperature range and a contraction of the low temperature range. By 2030 and 2040, the area with LST<20 °C is likely to decrease by 2.17% and 3.19%, while the area with LST>30 °C is likely to expand by 5.68% and 8.08%, respectively. The UTFVI area of urban land may decrease at none and middle levels but may notably expand at stronger and strongest levels. The areas with UTFVI at none, weak, and middle levels show a declining trend, while the increase in UTFVI at the strong level may exceed 46.29% and the strongest level of UTFVI may continue to expand. This study offers new insights into urban sustainable development and thermal environment governance.

Assessment of network structure characteristics and factors of corporate flows in Guangdong Province

With the rapid development of the world city network, the traditional location theory has gradually been disproven, and the advantages of the flow space over the traditional vertical organizational structure are gradually being revealed. Therefore, from corporate branch networks and corporate investment networks, 21 cities in urban agglomerations of Guangdong are taken as case studies for this paper. Furthermore, in this paper, 5 representative types of corporate contact data (catering service, financial service, life service, sports and leisure and accommodation service) are selected, the social network analysis (SNA) method is used to quantitatively analyze the network structure characteristics of urban agglomerations, and a spatial interaction model is constructed to explore the factors influencing. The results indicate that secondary networks have developed in Guangdong. The financial service network is the most complex, followed by the life services, sports and leisure and catering networks. The accommodation service network structure is the simplest. Among all kinds of networks, Guangzhou and Shenzhen have the highest status. The catering and accommodation corporations in Yangjiang in the west have a relatively major external development. Shantou in the east has many branches of various types, while most of the capital exchange in the region is concentrated in Heyuan and Qingyuan in the north. The coefficients of geographical proximity and the urban development level play a significant role in promoting the development of networks. However, administrative capacity limits the attractiveness of origin cities to a certain extent.

Analysis on the impact of smart city construction on urban greenness in China's megacities

Urban greenness serves as a key indicator of sustainable urban development, with smart city construction emerging as a primary strategy for its enhancement. However, there is little empirical evidence considering multi-dimension between urban greenness and smart city construction on the city level. This study focuses on the impact on urban greenness of smart city construction in megacities, using the difference-in-differences regression model to evaluate the impact based on urban development conditions in various aspects from 2010 to 2021 in 10 megacities in China. The results of panel data of different indicator samples show unique conclusions. First, smart city pilot policy in megacities has significant impact on urban greenness, primarily due to demographic and economic developments. Second, the impact is different between the megacity and national level, and different factors of urban greenness have different effects on smart city construction. Third, the effects are time-lagged and lasted for years, and regional heterogeneity divided by building climate zones is existed, where the effect is more obvious in city agglomeration. These findings of smart city construction reveal the unique influences on megacity greenness, and can be generalized to cities with similar characteristics accordingly.

National Hospital Care Survey Demonstration Projects: Examination of Maternal Health Outcomes by Housing Assistance Status

Objectives-Objective-This report demonstrates the use of linked National Hospital Care Survey (NHCS) and U.S. Department of Housing and Urban Development (HUD) administrative data to examine demographic characteristics and maternal health outcomes among both patients who received and did not receive housing assistance. Methods-Administrative claims data and electronic health records data from the 2016 NHCS were linked to 2015-2017 HUD administrative data using patient identifiers. HUD administrative data for Housing Choice Voucher, Public Housing, and Multifamily housing program participation were used to identify patients who received housing assistance before, during, or after their delivery hospitalization. Exploratory analyses were conducted for patients who had a delivery hospitalization in 2016 and were eligible for linkage to HUD administrative data. Demographic characteristics and maternal health outcomes were compared by housing assistance status. The linked NHCS-HUD data are unweighted and not nationally representative. Results-In the 2016 NHCS, 146,672 patients had a delivery hospitalization and were eligible for linkage to 2015-2017 HUD administrative data (95.6% had a live birth, 1.0% had a stillbirth, and 3.4% were unspecified). Among this study population, 9,559 patients (6.5%) received housing assistance from 2015 to 2017. Among those who received housing assistance, 66.5% visited large metropolitan hospitals, 71.8% were insured by Medicaid, and 3.0% experienced severe maternal morbidity. Among patients who did not receive housing assistance, 74.0% visited large metropolitan hospitals, 35.6% were insured by Medicaid, and 1.9% experienced severe maternal morbidity. Nearly two-thirds of patients who received housing assistance from 2015 to 2017 were receiving housing assistance at the time of their delivery hospitalization (63.6%). Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.

Examining changes in groundwater PFAS contamination from legacy landfills over a three-year period at Australia's largest urban renewal site

Understanding groundwater contamination from legacy landfills, including fate and transport of Per- and polyfluoroalkyl substances (PFAS), is a critical challenge for sustainable urban renewal. We analysed groundwater within and surrounding legacy landfills at Fishermans Bend for PFAS and complementary hydrochemical indicators. Sampling in 2017 revealed extensive PFAS contamination from the landfills. We re-examined concentrations after a 3-year period, to assess natural source attenuation and evolution of the contaminant plumes. Total PFAS (∑38PFAS) ranged from 88 to 973 ng/L, with relatively high concentrations (mean = 500 ng/L, n = 4) in samples directly within the waste mass of a large legacy municipal and industrial landfill (Port Melbourne Tip). Two samples on the boundary of a former construction and demolition waste landfill also had elevated PFAS concentrations (∑38PFAS = 232 and 761.5 ng/L). Down-gradient of the landfills, groundwater showed reductions in total PFAS, though still maintained considerable loads (∑PFAS = 107.5-207.5 ng/L). Long-chained PFAS showed greatest reductions relative to chloride concentrations down-gradient of the landfills, consistent with sorption as the predominant removal mechanism. The dominant mass fractions detected were similar in 2017 and 2020 (median: PFOS > PFHxS > PFHxA > PFOA); comprising the widely known, persistent 'legacy' PFAS. Re-sampled bores returned similar concentrations of these PFAS in 2017 and 2020 (median %RPDs of 0.0, 9.3 and 15.4, for PFOS, PFOA, and PFHxS, respectively). However, there were marked increases in concentrations of certain PFAS in three bores - including a previously un-impacted background site. The results show limited attenuation of legacy landfill PFAS contamination in groundwater over a 3-year period.

The intersection of health and housing: Analysis of the research portfolios of the National Institutes of Health, Centers for Disease Control and Prevention, and U.S. Department of Housing and Urban Development

BACKGROUND

Housing is a major social determinant of health that affects health status and outcomes across the lifespan.

OBJECTIVES

An interagency portfolio analysis assessed the level of funding invested in "health and housing research" from fiscal years (FY) 2016-2020 across the National Institutes of Health (NIH), the United States Department of Housing and Urban Development (HUD), and the Centers for Disease Control and Prevention (CDC) to characterize the existing health and housing portfolio and identify potential areas for additional research and collaboration.

METHODS/RESULTS

We identified NIH, HUD, and CDC research projects that were relevant to both health and housing and characterized them by housing theme, health topic, population, and study design. We organized the assessment of the individual housing themes by four overarching housing-to-health pathways. From FY 2016-2020, NIH, HUD, and CDC funded 565 health and housing projects combined. The Neighborhood pathway was most common, followed by studies of the Safety and Quality pathway. Studies of the Affordability and Stability pathways were least common. Health topics such as substance use, mental health, and cardiovascular disease were most often studied. Most studies were observational (66%); only a little over one fourth (27%) were intervention studies.

DISCUSSION

This review of the research grant portfolios of three major federal funders of health and housing research in the United States describes the diversity and substantial investment in research at the intersection between housing and health. Analysis of the combined portfolio points to gaps in studies on causal pathways linking housing to health outcomes. The findings highlight the need for research to better understand the causal pathways from housing to health and prevention intervention research, including rigorous evaluation of housing interventions and policies to improve health and well-being.

Factors influencing abundance of 3 tick species across a gradient of urban development intensity in the US Great Plains

Urbanization alters abiotic conditions, vegetation, and wildlife populations in ways that affect tick abundance and tick-borne disease prevalence. Likely due to such changes, tick abundance has increased in many US urban areas. Despite growing public health importance of tick-borne diseases, little is known about how ticks are influenced by urbanization in North America, especially in the central United States where several pathogens occur at or near their highest incidences. To identify factors influencing tick abundance across a gradient of urbanization intensity, we used CO2 traps and flagging to sample ticks at 16 parks across Oklahoma City, Oklahoma, USA over 2 yr, conducted vegetation surveys, and used trail cameras to estimate a deer abundance index. Our results indicate there is a risk of encountering ticks across the entire urbanization gradient from exurban areas to the urban core, although some species (Dermacentor variabilis (Say)) appear less-common in heavily-urbanized areas. Vegetation variables were also associated with tick abundance. For example, Amblyomma maculatum Koch decreased with increasing woody plant and leaf litter cover, and there was a weak positive relationship between D. variabilis abundance and cover of understory eastern redcedar (Juniperus virginiana L.), indicating this native encroaching tree may increase tick populations in urban areas of the Great Plains. The deer abundance index was positively correlated with A. maculatum and D. variabilis abundance but unrelated to A. americanum (L.) abundance. Public health officials and land managers can use such information about parks/greenspaces and their surroundings to focus public education and land management efforts designed to reduce tick-borne disease prevalence.

How does new-type urbanization affect total carbon emissions, per capita carbon emissions, and carbon emission intensity? An empirical analysis of the Yangtze River economic belt, China

The coordination of the relationship between new-type urbanization (NTU) and carbon emission reduction has become China's primary strategic goal. However, previous studies on this topic mainly examined the unidirectional impact of NTU on carbon emissions, while disregarding their potential relationship. This study establishes an evaluation system for measuring NTU and explores the bidirectional impact between NTU and total carbon emissions (TCE), per capita carbon emissions (PCE), and carbon emission intensity (CEI). The Yangtze River Economic Belt of China is selected as the study area, and the period from 2005 to 2019 is studied. The results show that: (1) The NTU levels in the upstream, midstream, and downstream regions of the Yangtze River increase from 0.148, 0.208, and 0.365 in 2005 to 0.465, 0.503, and 0.675 in 2019, suggesting that NTU levels tend to be balanced in these three reaches. (2) A positive bidirectional impact is found between NTU and TCE, as well as PCE in midstream and upstream regions, whereas in downstream regions, only a positive unidirectional effect of NTU on TCE and PCE is found. (3) Specifically, TCE plays the most significant role in promoting NTU in upstream regions, while NTU exerts the greatest pulling force on TCE and PCE in midstream regions. (4) Unlike the positive impact between NTU and TCE or PCE, there is a significant two-way inhibitory effect between NTU and CEI. (5) A three-step carbon emission reduction law is found in the process of NTU, where NTU towards low carbon development will experience NTU inhibits CEI, PCE, and TCE in sequential order. These findings provide an important reference for promoting a harmonious relationship between NTU and carbon emission reduction, helping governments formulate reasonable measures to achieve high-quality urban development and carbon emission reduction goals.

Life funds, urban development, and the experimental practices of financial sociology

How did the Norwich Union, a life and general insurance company, come to see itself as a 'local developer with people always at the centre of our planning'? This article explores how a small number of insurance companies, capitalising on their long history of property investment, used their investment funds, or 'life funds', to transform the built environment of UK in the twentieth century. In the postwar period life funds were contracted by local governments to finance, plan and develop solutions to urban issues that paralleled those targeted by post-war welfare reforms. This involved companies in developing expertise, working practices, instruments and collaborative arrangements that are not adequately represented as financial investment. Ventures into development on this scale had also to be ventures in futures planning, calculated bets on how people would - and how they should - live, work and spend. These are enterprises that I characterise as 'experimental practices of financial sociology' as a provocation that acknowledges first, that non-sociologists sometimes devise huge sociological experiments and second, that the separation of economics from sociology, and of finance from society, is a disciplinary move that is far less strictly enacted outside the academy.

A Scoping Review of Urban Planning Decision Support Tools and Processes That Account for the Health, Environment, and Economic Benefits of Trees and Greenspace

Compelling evidence shows that trees and greenspaces positively impact human well-being and the environment and offer economic benefits. Nevertheless, there exists a knowledge gap regarding the extent to which this evidence is efficiently incorporated into existing urban planning decision-making processes. This scoping review identified the extent to which urban planning decision-making frameworks, models, and tools consider the health, environmental, and economic benefits of trees and greenspace. Out of 28 reviewed studies, 11 (39%) reported on frameworks, models, and tools that take into account the health, environmental, and economic dimensions of trees and greenspace. Additionally, seven studies provided comprehensive coverage of at least one of the three key dimensions. However, none of the decision support frameworks, models, or tools comprehensively integrated all three dimensions, with only two tools (7%) scoring above 50% (five or more out of nine) in terms of comprehensiveness. This review highlights the urgent need to incorporate the true economic and monetary values of the health and environmental benefits of trees and greenspace to inform urban development decision making.

[Urban Epidemiology as an Integrative Approach to Sustainable and Healthy Urban Development]

Understanding the complex relationships between the physical and social environment and health in urban areas is essential for the development of appropriate measures of health promotion, disease prevention, and health protection. This article aims to characterize the comparatively new approach of urban epidemiology with its relevance for research and practice of urban health. Research in urban epidemiology provides important data and methodological foundations for integrated reporting, health impact assessments, and evaluation of interventions. Current challenges and solutions are outlined and initial recommendations for research, practice, and education and training are presented for discussion. Methods and findings of urban epidemiology can contribute in many ways to health-promoting, sustainable urban development.

How robust are current narratives to deal with the urban energy-water-land nexus?

Current energy, water, and land (EWL) nexus research treats all resources equally, causing bias in complicated nexus studies. To make the analysis robust, we consider resource endowment and significance. Here, we provide a methodological framework where the urban industrial resource nexus strength is constructed and assign weights to resources according to policies, describing resource efficiency and representing it in ternary diagrams to assess the urban industrial nexus innovatively. Results showed that energy drives urban development under all weights, with energy resource efficiency exceeding 60%. From consumption-based accounting, energy continues to dominate most industries under physical weightings but emphasizes the significance of water and land. While, under economic weightings, land supplants energy's dominance in specific sectors. Setting weights helps understand resource interaction, establish synergy based on urban development objectives, and minimize robustness. Our findings provide quantitative evidence for assessing urban resource efficiency to highlight priority sectors for intervention in urban decision-making.

Effect of COVID-19 prevention as part of an urban renewal programme

OBJECTIVES

To address existing inequalities, the Barcelona City Council launched a Neighbourhood Plan in 2016-2020. During the first wave of the COVID-19 pandemic, the Neighbourhood Plan interventions were intensified. This study aimed to assess the effect of the plan on the incidence of COVID-19 during the first wave of the pandemic in Barcelona.

STUDY DESIGN

We used a quasi-experimental design with 16 intervention neighbourhoods and 17 neighbourhoods in the comparison group with similar socioeconomic characteristics.

METHODS

We calculated the cumulative incidence rate (CIR) of COVID-19 per 100,000 inhabitants by sex, age groups, and neighbourhood of residence. Poisson regression models were fitted to estimate the crude relative risk and relative risk adjusted by socioeconomic status (cRR and aRR) and their 95% confidence intervals (CIs).

RESULTS

The CIR of COVID-19 was lower in the intervention neighbourhoods (CIR: 841 per 100,000 inhabitants) than in the comparison group (CIR: 973 per 100,000 inhabitants). On multivariate analysis, the aRR was 0.77 (CI: 0.70-0.83) for men and 0.89 (CI: 0.83-0.96) for women. Among men older than 75 years (aRR = 0.73; CI: 0.62-0.86), statistically significant differences were found in the intervention neighbourhoods compared to the comparison group. This pattern was not observed in women older than 75 years (aRR = 1.13; CI: 0.99-1.30).

CONCLUSION

This research finds positive short-term effect in the intervention neighbourhoods. We conclude that the COVID-19 control and prevention interventions are likely to explain the better performance in the neighbourhoods included in the Neighbourhood Plan.

Features and spatial effects of urban development and decline in resource-oriented cities: The case of Jilin, China

Transforming resource-based cities into sustainable economic development is a great challenge for policy-makers in many countries. However, the economic-centered evaluation system tends to breed the undesirable view of "GDP only" or "brown growth" in the previous case studies which is inconsistent with the long-run and sustainable development of resource-based cities. To fill in this research gap, this paper takes Jilin province in northeast China as a case study to explore urban development problems faced by major resource-based cities during resource depletion. This research constructs a stratified indicator system and conducts an in-depth analysis of the features and spatial effects of urban decline. For this analysis, this paper jointly uses the methods of entropy-weighted TOPSIS, analytic hierarchical process (AHP), and spatial effect model based on a database from 2000 to 2019. The findings of this study show that the current transformation of resource-based cities in Jilin province is generally ineffective and difficult to maintain long-run and sustainable development due to its historical reasons and industrial development background. According to the results, the resource-based cities in Jilin province show an unstable development because of factors such as barriers to the physical renewal of resources, rigid industrial structure, insufficient backup resources, and institutional and policy constraints. Also, the transformation of these cities into sustainable economic development is still facing demographic, social, and ecological difficulties.

Construction and planning application of blue-green ecological network in Ruzhou City based on morphological spatial pattern analysis (MSPA)

Land space planning is an important way to realize the construction of ecological civilization. It is important to improve the ecological service capacity of urban blue-green space during land space planning and combine it with planning strategies. With Ruzhou City from Henan Province as the research area, we constructed the current blue-green ecological network by morphological spatial pattern analysis (MSPA), connectivity analysis and minimum cumulative resistance model, and explored the application of corridor construction in land spatial planning. The results showed that there were seven first-level core patches, which were mainly distributed in the mountain forest space in the southwest and northeast of the city and the belt ecological space formed by Ruhe River in the middle. There were nine second-level core patches. A total of 256 ecological corridors and 135 ecological nodes were screened out. Most of the corridors crossed Ruhe River, so we should focus on protecting Ruhe River and its surrounding environment, providing temporary habitat for biological migration from north to south, improving the stability of overall ecological network, and concerning the restoration of the corridor breakpoints on the west and south sides of the city. It could guide the division of urban development boundaries, and provide scientific basis for the functional orientation and classified management and control of corridors from the perspective of planning.

Differences in the evolution of urban and rural surface thermal environment and their responses to urban renewal in Shanghai, China

The rapid and extensive urbanization has profound impacts on urban thermal environment. It is of great significance to comprehensively understand how urbanization affects the evolution of urban thermal environment for urban ecological safety, environmental quality, and residents' health. Based on daily land surface temperature (LST) products of MODIS Aqua satellite in the summer of 2002-2020, we investigated the evolution of urban-rural differences in surface summer thermal environment in Shanghai during 2002-2020 and its response to urban spatial renewal. We used normalized land surface temperature (NLST) and urban heat island ratio index (URI) as the surface thermal environment measurement indicators, by combining vegetation index and impervious surface cove-rage, and used M-K trend analysis and interpretation analysis. The results showed that the linear growth rate of LST in Shanghai was 0.09 ℃·a-1 (2002-2020), and that URI showed a trend of first increasing (2002-2010) and then decreasing (2010-2020). The mean summer LST was generally in the order of urban core>suburban>rural. 1.6% of the areas showed a significant cooling trend, of which 54.0% were distributed in the urban core. 39.5% of the regions showed a significant warming trend, of which 77.6% were distributed in the suburban. In general, there were concentrated significant cooling areas in the highly urbanized urban areas, while there was a significant warming trend in the suburban. The transformation from urban expansion to urban renewal was the main reason for the emergence of concentrated and significant cooling areas in the urban. Nearly 20% of the urban area showed a signi-ficant increase of vegetation coverage. Urban renewal projects such as gathering vegetation or dispersing impervious surfaces in highly urbanized areas are important ways to effectively improve the urban residential thermal environment.

Unveiling urban marathon development characteristics and urban growth strategies in China: Insights from time series analysis of Baidu Search Index

The strategic exploration of urban sports tourism resources and the pursuit of novel trajectories for urban growth are pivotal for resource integration and competitive enhancement within cities. This investigation concentrates on Chinese city marathons and compiles daily search index data from Baidu for 38 city marathons across the nation, spanning from January 1st, 2012 to May 3rd, 2022. Employing time series clustering to evaluate the data, and in conjunction with indices related to urban tourism resources and city development, we delve into the characteristics of how Chinese city marathons propel urban growth. The findings illustrate that the search index data for the 38 city marathons can be clustered into three categories, with Xi'an, Fuzhou, and Dalian emerging as the epicenters of clustering. The representative search index data for these three clusters reveal diverse characteristics of change. The search index shifts for three landmark races align generally with the changes observed in their respective cluster center races, however, variations exist among the search index changes for these iconic marathons. The degree of search index and its trending direction in city marathons emanate from the synergistic influence of the city's political, economic, and tourism attributes, in addition to the event's prominence. City marathons also catalyze urban development through economic stimulation, image enhancement, and infrastructure improvement. Future exploration of novel trajectories for urban development could be facilitated through harnessing the economic and tourism attributes of these events, and by orchestrating a unified series of marathons.

Connotation of urban ecological quality and the construction of its core index system

Urban ecological quality is a necessary attribute for a healthy urban ecological state. In the period of urban development from large-scale incremental construction to stock improvement and quality transformation and incremental structural adjustment, there are many gaps between urban ecological quality construction and the requirements of the new stage. There is an urgent need to understand and integrate multiple needs, and construct an indicator system to promote the balance between supply and demand of ecological resources and efficient use to enhance urban ecological quality. We used the analysis methods of CiteSpace literature analysis, relevant policy collation and questionnaire survey to systematically sort out the key points of concern and differences in understanding among the three perspectives of science, government, and the public. The results showed that all the three perspectives, i.e., science, government, and public, were more concerned with indicators related to urban green space, gray infrastructure, and policy control. The concerns of science and public addressed indicators related to urban green space the most, while government being most concerned with indicators related to gray infrastructure. Based on those findings, we developed a core urban ecological quality index system with a total of 25 indicators, covering 10 major types of urban green space, environmental quality, gray infrastructure, and so on.

Understanding how to create healthier places: A qualitative study exploring the complex system of urban development decision-making

Tackling complex system challenges like creating healthy environments requires understanding priorities and structures affecting multiple actors. This qualitative study, involving 132 multi-sectoral stakeholders spanning the urban development decision-making system, explores how to influence healthier place-making. Using thematic analysis we develop themes around competing stakeholder priorities; structural 'rules' and influential relationships; and justifying a focus on health, requiring greater clarity and consensus around definitions of 'healthy' urban development. Building on the socio-ecological model we highlight how a multi-faceted approach is required for change at multiple levels in the complex system to target individual actor motivations, organisational priorities and structural 'rules'.

Multi-objective optimization methodology for green-gray coupled runoff control infrastructure adapting spatial heterogeneity of natural endowment and urban development

Cost-effective runoff control scheme drafting involves localization, multi-sector coordination, and configuration of multifunctional infrastructures. Numerous independent variables, parameters, weights, and objectives make runoff control optimization quantitatively arduous. This study innovatively proposed a multi-objective optimization methodology for green-gray coupled runoff control infrastructure adapting spatial heterogeneity of natural endowment and urban development. The quantitative methods of multi-objective evaluation, hydrological feature partition, and pressure-adapted multi-objective weight assignment were proposed. Remote sensing inversion of water quality, hydrological model simulation (using SWAT and SWMM software), landscape pattern index calculation, life cycle cost (LCC), life cycle assessment (LCA) on ecological impact, and NSGA-II optimization algorithm were applied. Wuhan, the most water-sensitive city in China, was studied as a case. Runoff control function (RCF), capital investment (CI), and ecological return on investment (EROI) served as optimized objectives. High, medium, and low built-up regions in Wuhan urban development planning district were extracted by topographic factors and landscape patterns, which comprised 28, 34, and 38% of the case area, respectively. Three corresponding hydrological models were then built to illustrate distinct runoff control cost-efficiency in each region. Pressure distributions on runoff control, economic constraints, and ecological resource scarcity were quantitatively evaluated. And four pressure zones were clustered, which occupied 36, 29, 16, and 19% of the case area, respectively. Then the zonal weighted optimization decision-making matrix (with 3 hydrological models and 5 wt) was established by overlaying the pressure zone and built-up zone. In high, medium, and low built-up regions, optimized solutions reduced annual runoff volume by 86, 82%, and 77%The average runoff investments per square meter of impervious underlying surface in high, medium, and low built-up regions were 34.2, 18.7, and 7.9 RMB yuan, respectively. Medium and low built-up regions may only need 55 and 23% of the high built-up region for the unitary impervious underlying surface to balance runoff control and ecological benefits. Runoff control and financial utilization efficiency enhance with hydrological differentiation zones. Thus, the optimization solutions are zonal adaptive, refined, comparable, replicable, and implementable.

Coordination evaluation of urban tourism and urban development based on TOPSIS method-a case of Xiamen city

Facing the current situation of tourism and urban prosperity and development, whether there is a contradiction between urban tourism and urban development, and whether they can always coordinate with each other will affect the sustainable development of both. In this context, the coordination of urban tourism and urban development has become an urgent research object. Based on the statistics of twenty indicators of urban tourism and urban development in Xiamen from 2014 to 2018, the article uses the TOPSIS analysis method to develop the number of tourists. Research results show that (1) the selected indicators all showed significant growth characteristics, and over time the coordination coefficient increases year by year and gradually approaches the ideal optimal value. (2) Among them, 2018 has the highest coordination coefficient, 0.9534. (3) The occurrence of "big events" has a double-sided effect on urban tourism and development coordination.

Urban development and resource endowments shape natural resource utilization efficiency in Chinese cities

Improving the efficiency with which natural resources are utilized is an indispensable for achieving sustainable development and carbon neutrality. By analyzing the utilization efficiency of energy, water, and land, we established a comprehensive natural resource utilization efficiency index (NRUEI). We then calculated the 2016 index for 165 cities in China, and investigated what caused it to vary. We found three main results: (1) the NRUEI varied greatly across China and there were significant positive correlations between urban energy utilization efficiency (EUE), water utilization efficiency (WUE) and land utilization efficiency (LUE); (2) the NRUEI showed a significant positive correlation with a city's population size, economy (Gross Domestic Product (GDP)), and the level of urban social development (GDP per capita); (3) cities in East China have the highest natural resource utilization efficiency, while cities in Northeast China have the lowest. These results indicate that China's increasing urban development is associated with rising natural resource utilization efficiency and that the city's endowment of natural resources is an important factor affecting that efficiency. Further, the results showed that the determinants of a city's NRUEI differed in large and small cities. Lastly, our results suggest that improving EUE is key for improving NRUEI in urban China, and different efficiencies can be improved intertwined. A major takeaway of this study is that there is great potential for improving natural resource utilization efficiency in Chinese cities and we include city-specific suggestions for efficiency improvements.

Evaluation of socio-economic-ecological environmental benefits of urban renewal projects based on the coupling coordination degree

The success of urban renewal projects is attributed to the synergistic development of economic, social, and environmental sustainability. However, people often seek unilateral economic benefits and ignore the coupling and coordination degree of economy-social ecological and environmental benefits. This paper attempts to evaluate the success and sustainability of urban renewal projects based on the coupling coordination degree (CCD) of economic-social-ecological benefits. Firstly, this study relies on a literature review and structural interviews to build a coupling indicator system of economic-social-ecological benefits of urban renewal projects and calculates the weight of evaluation indicators based on the entropy method. Taking 15 urban renewal projects in Guangzhou as objects, this research measures their CCD and explores the coupling relationship. The research results show that (1) among the 60 comprehensive benefit evaluation indicator elements of urban renewal projects, the indicator element with a larger weight is " Education support facilities," the economic benefit indicator element with greater weight is "Regional housing price of renewal areas," and the ecological benefit indicator element with a large weight is "Vitality, and health of the urban landscape, and the characteristics of meeting the needs of residents of all ages." (2) From the project dimension, the evaluation value of the social, economic, and ecological environment benefits of different reconstruction projects have certain differences. From the perspective of the regional dimension, the CCD of comprehensive benefits of urban renewal projects has obvious regional differences. The projects with a high CCD are mostly distributed in the most economically developed regions. The economic and social benefits of the renewal projects located in the economic core of the city center are usually higher, but their eco-environmental benefits are not necessarily the highest. (3) The government should innovate the reconstruction mode of diversified development, improve the public participation mechanism, and build an efficient urban renewal ecosystem. This study concludes that the government should introduce relevant urban renewal policies to provide a theoretical basis and guidance for enterprises to participate in urban renewal projects.

Mapping environmentally sustainable urban development within six US cities through object-based image change analysis of aerial orthoimagery

The rapid expansion of cities and continuous urban population growth underscores a need for sustainable urban development. Sustainable development is that which addresses human needs, contributes to well-being, is economically viable, and utilizes natural resources at a degree sustainable by the surrounding environmental systems. Urban green spaces, green roofs, and solar panels are examples of environmentally sustainable urban development (ESUD), or development that focuses on environmental impact, but also presents the potential to achieve social and economic sustainability. The aim of this study was to map and compare amounts of ESUD c. 2010 and c. 2019 through an object-based image analysis (OBIA) approach using National Agricultural Imagery Program (NAIP) aerial orthoimagery for six mid- to large-size cities in the USA. The results of this study indicate a hybrid OBIA and manual interpretation approach applied to NAIP orthoimagery may allow for reliable mapping and areal estimation of urban green space and green roof changes in urban areas. The reliability of OBIA-only mapping and estimation of areal extents of existing green roofs, and new and existing solar panels, is inconclusive due to low mapping accuracy and coarse spatial resolution of aerial orthoimagery relative to some ESUD features. The three urban study areas in humid continental climate zones (Dfa) were estimated to have greater areal extent of new and existing urban green space and existing green roofs, but less areal extent of new green roofs and existing solar panels compared to the three study areas in humid subtropical climate zones (Cfa).

Analysis of the Spatial and Temporal Evolution of Urban Resilience in Four Southern Regions of Xinjiang

Resilience theory plays a pivotal role in promoting sustainable urban development and the long-term stable development of the national economy. Based on the "scale-density-form" model of urban resilience, this paper shifts the perspective of urban resilience from the eastern region with higher level of economic development and better infrastructure construction to the arid northwest region with more fragile ecological environment and weaker urban development potential, which enriches the connotation and mechanism of urban resilience to a certain extent. Using ArcGIS platforms, statistical data and remote sensing data as data sources, this paper analyzes the urban resilience of four southern Xinjiang regions (Aksu Administrative Office, Kashgar Administrative Office, Kizilsu Kirgiz Autonomous Prefecture and Hotan Administrative Office) in time and space from 2000 to 2020 using a three-dimensional resilience analysis framework based on scale, density and morphology. The results show that the urban de-development of the study area faces a strong scale safety constraint due to the small available land area in the study area, which leads to its small urban construction land area. The county- and city-scale elasticity levels of Aksu Administrative Office and Kashgar Administrative Office are higher than the average level of the study area, while most of the counties and cities in Kizilsu Kirgiz Autonomous Prefecture and Hotan Administrative Office are lower than the average level of the study area, with large differences between counties and cities. The geographical location of the study area determines the backwardness of the region in terms of ideology, production methods and technology, which seriously restricts the development of local society and economy. In terms of density resilience, there are large differences among counties and cities in the study area, and the density resilience of Aksu, Kashgar and Kucha is much higher than that of other counties and cities. In terms of morphological resilience, with the increasing prominence of ecological status, the urban landscape layout of the study area has changed significantly, leading to changes in the distance between its blue-green landscape and gray-white landscape, which in turn causes changes in morphological resilience. Based on the above findings, initiatives and paths for resilience regulation in the study area are proposed in terms of scale, density and morphology. The study also has a reference value for local urban safety development.

Quantitative spatial assessment of the impact of urban growth on the landscape network of Türkiye's coastal cities

This study aims to evaluate the impact of urban spatial expansion on the landscape patterns of coastal cities in Türkiye through the use of spatio-temporal indices. To this end, temporal samples covering a period of approximately 30 years (1986-2000 and 2000-2015) were analyzed for six selected coastal cities in Türkiye. The urban spatial growth patterns in these cities were characterized using 17 geospatial indices, and Pearson's correlation coefficient and principal component analysis were employed to assess the quantitative relationships between urban spatial development and the fragmentation of landscape networks. The results of the study demonstrated that the patterns of landscape fragmentation caused by the spatial growth patterns of the selected coastal cities can be divided into two categories: disconnected landscape connections and perforated landscape patterns. Leapfrog development was identified as a major factor in the fragmentation of landscape continuity, leading to the formation of perforated green structures. The findings of this research can serve as spatial guidelines for addressing disconnected landscapes, a crucial factor in enhancing urban sustainability in Türkiye's coastal cities. Furthermore, the outcomes of this study may be useful for informing the national well-being strategy for urban planning and natural mitigating policies in Türkiye's coastal regions.

Can Internet Construction Promote Urban Green Development? A Quasi-Natural Experiment from the "Broadband China"

Broadband, as a key element of Internet infrastructure, plays an important role in breaking down barriers to the flow of production factors and promoting green economic transformation. Using the "Broadband China" strategy as a quasi-natural experiment, this study examines the impact and mechanisms of Internet infrastructure on urban green development by constructing a multi-period Difference-in-Differences (DID) model based on panel data from 277 Chinese prefecture-level cities from 2009 to 2019. The results show that the "Broadband China" pilot policy significantly promotes urban green development, with green technological innovation and talent aggregation playing important moderating roles. However, there is a certain lag in the impact of the "Broadband China" pilot policy on urban green development. Furthermore, our heterogeneity analysis suggests that the promotion of the "Broadband China" pilot policy for urban green development mainly exists in central cities, large-scale cities, and resource-based cities, as opposed to surrounding cities, small-scale cities, and non-resource-based cities. The above findings clarify the impact of Internet construction on urban green development and provide a theoretical and practical exploration for achieving a win-win situation of high-quality urban development and environmental protection.

Mechanism and Impact of Digital Economy on Urban Economic Resilience under the Carbon Emission Scenarios: Evidence from China's Urban Development

China is currently experiencing a phase of high-quality development, and fostering the resilience of the urban economy is key to promoting this development. The growth of the digital economy is seen as critical to achieving this goal. Therefore, it is necessary to study the mechanism by which the digital economy affects urban economic resilience and the impact of carbon emissions. To this end, this paper empirically analyzes the mechanisms and impacts of the digital economy on urban economic resilience using panel data from 258 prefecture-level cities in China between 2004 and 2017. The study employs a two-way fixed effect model and a moderated mediation model. The results show that: (1) The development of the digital economy can significantly improve the resilience of the urban economy in different periods and different city sizes; (2) The development of the digital economy promotes the economic resilience of developed cities and eastern cities more significantly; (3) In the context of carbon emissions, the digital economy positively contributes to urban economic resilience through population quality and industrial structure but negatively contributes to urban economic resilience through above-scale enterprises; (4) Carbon emissions have a positive moderation effect on the historical path of the industrial structure, above-scale enterprises, and the front path of population quality in the mechanism of the role of the digital economy on the economic resilience of cities, and a negative moderation effect on the front path of above-scale enterprises. Based on these findings this paper proposes several suggestions, such as revolutionizing the digital development of cities, optimizing regional industrial collaboration, accelerating the training of digital talents, and preventing the disorderly expansion of capital.

Remote sensing identification of green plastic cover in urban built-up areas

Urban renewal can transform areas that are not adapted to modern urban life, allowing them to redevelop and flourish; however, the renewal process generates many new construction sites, producing environmentally harmful construction dust. The widespread use of urban green plastic cover (GPC) at construction sites and the development of high-resolution satellites have made it possible to extract the spatial distribution of construction sites and provide a basis for environmental protection authorities to protect against dust sources. Existing GPC extraction methods based on remote sensing images are either difficult to obtain the exact boundary of GPC or cannot provide corresponding algorithms according to different application scenarios. In order to determine the distribution of green plastic cover in the built-up area, this paper selects a variety of typical machine learning algorithms to classify the land cover of the test area image and selects K-nearest neighbor as the best machine learning algorithm through accuracy evaluation. Then multiple deep learning methods were used and the top networks with high overall scores were selected by comparing various aspects. Then these networks were used to predict the GPC of the test area image, and the accuracy evaluation results showed that the segmentation accuracy of deep learning was much higher than that of machine learning methods, but it took more time to predict. Therefore, combining different application scenarios, this paper gives the corresponding suggested methods for GPC extraction.

Environmental regulation and green technology innovation: incentive or disincentive effect? New evidence from resource-based cities in China

Under the dual constraints of resources and environment, it is important to stimulate green technology innovation and promote urban development through environmental regulation. Previous literature on the impact of environmental regulation on innovation in green technology has focused only on its unilateral effects, ignoring the bilateral effects of environmental regulation, and has not been fine-tuned for resource-based cities. This study evaluates the disincentive, incentive, and net effects of environmental restrictions on green technology innovation using a bilateral stochastic frontier model for 115 resource-based prefecture-level cities in China from 2010 to 2019. The findings reveal that: (1) Green technology innovation in resource-based cities is subject to both innovation incentives and cost inhibiting effects of environmental regulations. The disincentive effect of environmental regulation in resource-based cities is 28.63%, the incentive effect is 23.83%, and the net effect is - 4.8 %. (2) The temporal characteristics of the bilateral effects show that the dominant effects are different in different periods, and the net effect shows a "suppression-promotion" process. In the sample years, the net effect shows a decreasing trend during 2013-2014 and an increasing trend after 2015. (3) For resource-based cities with different life cycles, the impact of environmental regulation on green technology innovation is different, and the average value of the net effect of green technology innovation in resource-based cities is declining, mature, regenerating, and growing cities in descending order.

Risk identification and analysis for the green redevelopment of industrial brownfields: a social network analysis

The green redevelopment of industrial brownfields (GRIB) is an important means to solve the shortage of urban land resources and realize sustainable urban renewal and green development. The identification and analysis of risk factors in GRIB projects are of immense significance for completing construction tasks and ensuring the planned benefits. In this study, work and risk breakdown structures and expert interviews are used to construct the risk network model of a GRIB project, based on three dimensions: process, subject, and system sources. The software package UCINET is used to conduct social network analysis and determine the key risk factors and relationships. The results of this study suggest that the four risk factors with the most brokerage roles and the highest node betweenness centralities are located at the core of the network; the six risk relationships with the highest line betweenness centralities are those with the strongest transmission capacities; the key risk factors are mostly response and stress risks; the main source is the design unit; and the key risk relationships are the influence of the decision-making stage on the design stage and of the design stage on the construction stage. Surpassing the limitations of traditional linear research, this study explains the internal relationship among the risk factors of GRIB projects and identifies the risk factors that play a brokerage role and the risk relationship that plays a conductive role, providing a theoretical basis for introducing social network analysis tools into the risk assessment of such complex construction projects.

Integrating Health into Local Plans: A Comparative Review of Health Requirements for Urban Development in Seven Local Planning Authorities in England

A local plan is a statutory policy document that supports urban development decisions across a local government area in England. Local plans are reported to need more specific requirements for development proposals regarding wider health determinants to address potential health outcomes and health inequalities. This study reviews the integration of Health in Local Plans of seven local planning authorities through documentary analysis methods. A review framework was formulated based on health and planning literature regarding local plans, health policy and determinants of health and dialogue with a local government partner. The findings identify opportunities to strengthen the consideration of Health in Local Plans, including ensuring that policies are informed by local health priorities and signpost national guidance, strengthening health-related requirements for developers (e.g., indoor air quality, fuel poverty and security of tenure) and improving implementation of requirements for developers (e.g., through adoption of health management plans and community ownership). The study identifies further research needs regarding how policies are interpreted by developers in practice, and on national guidance for Health Impact Assessment. It highlights the benefit of undertaking a comparative review, contrasting local plan policy language and identifying opportunities to share, adapt and strengthen planning requirements regarding health outcomes.

Modeling Production-Living-Ecological Space for Chengdu, China: An Analytical Framework Based on Machine Learning with Automatic Parameterization of Environmental Elements

Cities worldwide are facing the dual pressures of growing population and land expansion, leading to the intensification of conflicts in urban productive-living-ecological spaces (PLES). Therefore, the question of "how to dynamically judge the different thresholds of different indicators of PLES" plays an indispensable role in the studies of the multi-scenario simulation of land space changes and needs to be tackled in an appropriate way, given that the process simulation of key elements that affect the evolution of urban systems is yet to achieve complete coupling with PLES utilization configuration schemes. In this paper, we developed a scenario simulation framework combining the dynamic coupling model of Bagging-Cellular Automata (Bagging-CA) to generate various environmental element configuration patterns for urban PLES development. The key merit of our analytical approach is that the weights of different key driving factors under different scenarios are obtained through the automatic parameterized adjustment process, and we enrich the study cases for the vast southwest region in China, which is beneficial for balanced development between eastern and western regions in the country. Finally, we simulate the PLES with the data of finer land use classification, combining a machine learning and multi-objective scenario. Automatic parameterization of environmental elements can help planners and stakeholders understand more comprehensively the complex land space changes caused by the uncertainty of space resources and environment changes, so as to formulate appropriate policies and effectively guide the implementation of land space planning. The multi-scenario simulation method developed in this study has offered new insights and high applicability to other regions for modeling PLES.

Simulating future land use by coupling ecological security patterns and multiple scenarios

A land use simulation model with coupling constraints of ecological security patterns (ESPs) and multiple scenarios (MSs) was developed using the PLUS model. The research scale was zoned with environmental functional regions, where land management policies were formulated. A case study in Anji County successfully demonstrated the application of the ESP-MS-PLUS model. First, we constructed three different levels of ESPs as ecological constraints by utilizing ecosystem services evaluation and circuit theory. Second, four scenarios of land use and land cover changes (LUCCs) in 2034 were assumed, namely business as usual (BAU), priority given to urban development (PUD), priority given to ecological protection (PEP), and balanced urban development and ecological protection (BUE). Then, the basic ecological constraints (ecological red line areas and waters) and three types of ESPs were coupled with the four scenarios. The results of the simulation and analysis of landscape metrics under each scenario showed that the PEP and BUE scenarios would effectively reduce the degree and speed of ecological destruction. In addition, there were three environmental functional areas that could be used as priority areas for urban construction to ensure economic development. This study provides a new mechanism for land use optimization in the context of ecological protection at scales conducive to practice.

The spatiotemporal evolution and influencing factors of urban green innovation in China

Green innovation (GI) is an important way to build an ecological civilization and an innovative country. The study on urban green innovation (UGI) is of great significance for enriching the research on GI and rationally formulating high-quality urban development policies. The green patent data obtained using a web crawler was used to represent the level of UGI. The spatiotemporal evolution and influencing factors of UGI in China were analyzed by standard deviation ellipses, spatial autocorrelation, and Geodetector. The research shows that: From 2005 to 2020, the level of UGI in China tended to rise rapidly. The center of gravity of UGI in China was located in the southeast of China's geometric center and tended to move to the south and west. The standard deviation ellipse was distributed in a "northeast-southwest" pattern, the area was gradually shrinking, and the length of the two semi-axes was shortening. UGI in China showed obvious global and local spatial autocorrelations. The degree of global spatial autocorrelation was gradually increasing. Among the types of local spatial autocorrelation, the largest number of low-low agglomeration cities was mainly located in the northwest and southwest part of China, while high-high agglomeration cities were distributed in Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta. The government intervention expressed by the proportion of scientific and technological expenditure in fiscal expenditure and environmental regulation is the dominant factor affecting UGI.

Pandemic urban development is leading us away from nature

Recovery plans in Europe in the COVID-19 pandemic era have stimulated construction-led development, which has eclipsed nature-based agendas in terms of scale, size, and policy. One estimate is that only 0.3% of spending on urban infrastructure globally is directed towards various nature-based solutions and other ecosystem efforts supporting human well-being. In the future we will urgently need to employ nature-based approaches in crisis management for the power and potential of nature to be fully employed in pursuit of urban recovery. We strongly recommend that nature-based approaches be an explicit requirement to secure funding for future recovery plans.

What Do Local People Really Need from a Place? Defining Local Place Qualities with Assessment of Users' Perceptions

China is facing a serious urban regeneration issue in which replicable international-style locations are losing their socio-cultural adaptability, especially in anonymous residential neighbourhoods. This study defines the key location qualities from local literature and then refines these qualities through observation investigations and statistical analysis (n = 180) to establish links between theories and contemporary uses. Based on the results, a correlation analysis of local place qualities was assessed from users' perceptions (n = 180) to identify the interactional influences between each indicator of local place qualities. Finally, local place qualities were scored to address their level of impact on users' perceptions. The results highlighted health, enjoyment, and social dependence as the most concerning factors in site investigations based on local cognitions. They are strongly associated with key local place qualities (naturality, functionality, cosmological cognitions, and interdependent sociability), directly and indirectly resulting in different levels of impact on users' perceptions at different scales.

Green Infrastructure Designed through Nature-Based Solutions for Sustainable Urban Development

With the goal of enhancing the quality of the environment, urban green infrastructure (UGI) is an essential element in sustainable cities, and nature-based solutions (NBS) are being carried out as new infrastructure solutions that increase the resilience of cities. In this research, the method of theoretical analysis and the content analysis as the basic fact-gathering technique was applied to answer to following questions: What are the hindrances and bottlenecks in implementing NBS? Are the current decision-making mechanisms helping NBS get in route to shape cities? Is there any binding policy in practice that promotes NBS? In Belgrade is planned Type 3 of the degree of intervention/level and engineering type-Creation and new ecosystem management in the classifications of intensive urban green space management; urban planning strategies; urban water management; ecological restoration of degraded terrestrial ecosystems; and restoration and creation of semi-natural water bodies and hydrographic networks. In the future, it is essential to implement policies and incentives on national, regional, and local scales that help encourage the usage of NBS in the development of urban infrastructure.

A framework to measure transit-oriented development around transit nodes: Case study of a mass rapid transit system in Dhaka, Bangladesh

Transit-oriented development (TOD) is a tool that aids in achieving sustainable urban development. It promotes economic, environmental, and social sustainability by integrating land use and transportation planning. Many researchers have investigated mass rapid transit (MRT) station regions for TOD in developed cities. However, in a developing city such as Dhaka, measuring node-based TOD (TOD index) during MRT construction has been disregarded in planning future land use. Furthermore, no prior research on quantitative TOD measurement in Dhaka exists. As a result, we developed a framework for both quantitative and spatial node-based TOD measurement based on the four Ds (density, diversity, destination accessibility, and design) of the TOD concept. With 17 stations under construction, MRT 6 was selected as our study area. The TOD index was measured by nine indicators based on the four criteria (4Ds), spatially in the geographic information system (GIS). After calculating the indicators, the TOD index for each station's 800m buffer was estimated using the spatial multi-criteria analysis (SMCA). A sensitivity analysis of four TOD scenarios was performed to check the model's robustness. Additionally, a heatmap of the TOD index for MRT 6 was created for informed planning and policymaking. Furthermore, statistically significant hotspots (both Getis Org Gi* and Anselen Local Moran Statistics) and hotspot clusters were identified. Finally, we illustrate the station-based ranking based on the maximum TOD score. In addition, a detailed spider-web of nine indicators for 17 stations depicts sustainable TOD planning. However, regarding density and diversity, sustainable development and (re)development policies should be implemented not only for MRT 6 but for all Dhaka's TOD regions.

Impact of industrial structure upgrading on green innovation: evidence from Chinese cities

Industrial structure upgrading has a spatial spillover effect, which is an important way to accelerate urban green innovation and realize urban sustainable development. Therefore, it is very important to study the impact of industrial structure upgrading on urban green innovation. Using panel data of 260 prefecture-level and above cities in China from 2005 to 2019, this paper studies the spatial effect of industrial structure supererogation on green innovation by using the spatial Durbin model (SDM). The results show that both industrial structure upgrading and green innovation show a trend of regional agglomeration and fluctuation. The direct effect of an industrial structure supererogation on green innovation is significantly positive, while the indirect effect and total effect are significantly negative. The direct effect, indirect effect, and total effect of industrial structure rationalization on green innovation are significantly positive. This study can provide a useful reference for the coordinated development of industrial structure upgrading and green innovation.

Service Coordination in HUD Housing During the COVID-19 Pandemic: Bridging the Gap

During the COVID-19 pandemic, service coordinators increased the capacity of a large and diffuse inter-organizational network to support lower-income older adults. Researchers conducted two surveys of service coordinators who worked with older residents of US Department of Housing and Urban Development (HUD) multifamily properties in mid-2020 and late-2021. These residents experienced many pandemic-related disruptions to their support systems, and findings revealed ways that service coordinators assessed resident need, linked them to public benefits programs, improved their access to technology, translated public health responses, and facilitated access to partner organizations and professional supports. Through assessment and communication, and decision-management and problem solving, service coordinator work increased the efficiency and effectiveness of external supports available to help meet residents' needs for food, medicine, supplies, personal care, and mental and physical healthcare. With an aging population and an increasing rate of unpredictable weather events, service coordination, which is inconsistently funded and is not mandated for HUD properties, may offer an opportunity to improve the adaptability and resilience of older supported housing residents.

Evaluating the Comprehensive Benefit of Urban Renewal Projects on the Area Scale: An Integrated Method

Globally, the challenges facing cities regarding urban decay, insufficient urban function, and fragmented urban development are enormous. Under this context, urban renewal provides opportunities to address these challenges and enhance urban sustainability. Thus, promoting urban renewal projects and improving their performance is a global topic. In many circumstances, urban renewal is planned and initiated on the project scale, but on the area scale, overall coordination of the projects can bring about comprehensive benefits to urban areas on a macro view. In practice, it still lacks a systematic evaluation approach to obtain a clear picture of such comprehensive benefits. In academia, the existing research studies are mainly focused on single-project evaluation. An integrated framework that provides a holistic assessment of area-scale project benefits is missing. Few fully consider the coupling coordination benefits between several urban renewal projects from an area-scale perspective. Thus, this paper aims to propose a framework for integrating an indicator evaluation system through a hybrid entropy weight method with Back Propagation (BP) neural network methods to evaluate the comprehensive benefit of urban renewal projects on the area scale, which is the level at which most development area-scale renewal projects take place in a city. The feasibility and effectiveness of this proposed framework are then verified in a case study of Chongqing, China. The results indicate that the proposed method that integrated multi-project characteristics can contribute to a bigger picture of benefit evaluation of urban renewal based on an area scale perspective. This therefore provides not only guidance for urban planners and policymakers to make better decisions, but also new insight for benefit evaluation in the field of urban development.

Measuring the Level of Urban-Rural Integration Development and Analyzing the Spatial Pattern Based on the New Development Concept: Evidence from Cities in the Yellow River Basin

Urban-rural integration development (URID) is the solution to the excessive urban-rural gap, unequal and insufficient development in urban-rural areas, along with the process of dynamic and balanced urban-rural growth. The promotion of high-quality development and sustainable development in the Yellow River Basin (YRB) depends heavily on the scientific development of an evaluation index for urban-rural integration (URI), the quantitative measurement of the level of URI, and the accurate identification of the spatial layout of URI. The URI indicator system is built using the new development philosophy, and 94 cities in the YRB are used as samples. The spatial and temporal evolution characteristics of the URID in the YRB were studied from 2010 to 2020 using the entropy value method and coupled coordination model. The study shows that from 2010 to 2020, along the YRB, both urban and rural development (URD) levels generally increased. However, regional differences increased and development levels varied, showing a trend of uneven development between provinces. Overall, the degree of URID was increasing and still low, but there are three main types of urban-rural coupling and coordination (URCC) that are relatively stable: barely coordinated, primary coordination, and on the verge of disorder. Primary coordination replaced barely coordinated as the dominant type over time. Finally, it is suggested that urban and rural regions should not be "managed separately" but rather should be viewed as a cohesive organic whole; to drive urban cluster construction and spur rural development, to further close the urban-rural divide, reliance on the city centre is necessary. Concurrently, this encourages the transfer of farm labour and supports the coordinated growth of urban-rural industries; investment in advantageous industries is strengthened; the construction of URIs should be promoted at a more microscopic city and county level; and strong support is provided to achieve high-quality sustainable development of the YRB. It is important to put into practice the new development philosophy, investigate the fundamental causes of the growing urban-rural divide, change the development strategy, and optimize this new development path.

How Can Resource-Exhausted Cities Get Out of "The Valley of Death"? An Evaluation Index System and Obstacle Degree Analysis of Green Sustainable Development

Resource-based cities are suffering from resource scarcity and environmental deterioration. Spirit, vitality and prosperity are disappearing and cities have moved towards "the valley of death" in terms of urban development. This typically appears in environments where it is difficult to maintain sustainable development. Based on empirical analysis, a qualitative analysis method for the selection of evaluation indicators, as well as a quantitative analysis method for index weighting and principal component extraction for constructing a three-level evaluation index system of green development for coal-resource-exhausted cities, was adopted. This study also discussed the life cycle at different development stages of resource-based cities, including mature resource-based and growing resource-based cities. We further argued that the obstacle degree can act as an evaluation basis and make recommendations accordingly to improve the green development of cities. Through star-standard divisions and statistical analysis, it can be explicated that the increase in green development in the first stage is greater than that in the later stage, which is more obvious in cities with lower stars. The results also show the evolution trend and stability coefficient. There is no end in sight for urban green development, and this study can provide a new perspective to relieve the declining trend and promote green sustainable development.

More synergies or more trade-offs? The interaction among multiple assessment indicators in sustainable urban development in Guangzhou, China

To achieve sustainable development, local governments are under enormous pressure to simultaneously achieve the three assessment tasks (TATs) of energy saving, CO₂ reduction, and pollution reduction. However, the TATs are often managed by different authorities and have three types of measures (TTMs) that correspond to them. The lack of adequate cooperation between these authorities has led to the inefficient investment of policy resources and even to policy conflicts, and the interactions among the TTMs are not yet known. To this end, this paper uses the MCEE model to assess the interactions among the TTMs quantitatively using Guangzhou, China, as a case study. The results showed the following. (1) According to the current development trend, if the authorities managing the TATs continue to work alone, they will not be able to fulfill the corresponding assessment tasks in the future. (2) The TTMs have interactions with each other, and their synergies are far greater than their trade-offs. From 2015 to 2035, it is expected that energy-saving measures can accomplish 54.39% of the CO₂ reduction tasks and 32.74% of the pollution reduction tasks indirectly, and low-carbon measures can accomplish 55.53% of the energy saving tasks and 27.20% of the pollution reduction tasks indirectly, However, environmental-protection measures will cause fewer trade-offs (energy demand and CO₂ emissions increase by 3.76% and 2.88%, respectively). (3) In some years, the contribution of interactions among the TTMs are even higher than their direct contribution to the TATs. Our findings suggest that intensive cooperation between authorities is necessary, and that the benefits of such cooperation will outweigh the disadvantages.