Impacts of Behavioral, Organizational, and Spatial Factors on the Carbon Footprint of Traditional Retail and E-commerce in the Paris Region

Carbon footprint assessment of retail is necessary to optimize procurement strategies and adopt sustainable shopping habits. However, estimating carbon footprints is a complex task, given the diversity of existing distribution channels. Average values for carbon emissions of "conventional" retail (i.e., purchasing and receiving the product directly at the physical point of sale) found in most studies mask a heterogeneous reality: different retail strategies entail diverse shopping behavior for consumers, as well as varied procurement processes for outlets. In this paper, we propose a methodology to assess greenhouse gas (GHG) impacts of different distribution systems related to the consumption of goods in the Paris Region by coupling traditional transport modeling with a life-cycle assessment (LCA) approach. We model and compare six distribution systems, including five traditional retail formats (hypermarkets, supermarkets, small generalist retail, small food retail, and small nonfood retail) and E-commerce home deliveries. Our model includes warehouse activity, shop and home delivery, shop energy consumption, consumer mobility, and goods packaging. Overall, we conclude that E-commerce emits fewer GHG emissions than retail outlets per kilogram of product purchased. This result is in line with the existing literature on the topic. However, the carbon footprint varies greatly within the case study depending on the characteristics of the logistics procurement processes of outlets, the behavior of shoppers, and spatial characteristics.

Data-Driven Supply Chain Operations-The Pilot Case of Postal Logistics and the Cross-Border Optimization Potential

According to the defined challenge of cross-border delivery, a pilot experiment based on the integration of new digital technologies to assess process optimization potential in the postal sector was designed. The specifics were investigated with events processing based on digital representation. Different events were simulated with scenario analysis with the integration of the Cognitive Advisor and supported by the monitoring of KPIs. The business environment is forcing logistics companies to optimize their delivery processes, integrate new technologies, improve their performance metrics, and move towards Logistics 4.0. Their main goals are to simultaneously reduce costs, environmental impact, delivery times, and route length, as well as to increase customer satisfaction. This pilot experiment demonstrates the integration of new digital technologies for process optimization in real time to manage intraday changes. Postal operators can increase flexibility, introduce new services, improve utilization by up to 50%, and reduce costs and route length by 12.21%. The Cognitive Advisor has shown great potential for the future of logistics by enabling a dynamic approach to managing supply chain disruptions using sophisticated data analytics for process optimization based on the existing delivery infrastructure and improving business processes. Research originality is identified with a novel approach of real-time simulation based on the integration of the Cognitive Advisor in postal delivery.

Logistics during Covid-19 Pandemic: A Bibliometric Analysis

The logistics sector was one of the most impacted during the COVID-19 pandemic. This article aims to analyze the emerging trends on this subject using articles referring to studies related to the impact of the pandemic in engineering and related areas of knowledge, also looking for new research opportunities. A descriptive methodology was used through a systematic review of the literature. The publications in the "Engineering" area were filtered and the results were analyzed with the VOSviewer tool. Results show the relevance of the studies in the last mile. Likewise, opportunities were observed to carry out studies related to the transformation of retail.

Last mile research: a conceptual map

Background: The term 'last mile' has been used across disciplines to refer to populations who are farthest away, most difficult to reach, or last to benefit from a program or service. However, last mile research lacks a shared understanding around its conceptualization.Objectives: This project used a concept mapping process to answer the questions: what is last mile research in global health and, how can it be used to make positive change for health equity in the last mile?Methods: Between July and December 2019, a five-stage concept mapping exercise was undertaken using online concept mapping software and an in-person consensus meeting. The stages were: establishment of an expert group and focus prompt; idea generation; sorting and rating; initial analysis and final consensus meeting.Results: A group of 15 health researchers with experience working with populations in last mile contexts and who were based at the Matariki Network institutions of Queen's University, CAN and Dartmouth College, USA took part. The resulting concept map had 64 unique idea statements and the process resulted in a map with five clusters. These included: (1) Last mile populations; (2) Research methods and approaches; (3) Structural and systemic factors; (4) Health system factors, and (5) Broader environmental factors. Central to the map were the ideas of equity, human rights, health systems, and contextual sensitivity.Conclusion: This is the first time 'last mile research' has been the focus of a formal concept mapping exercise. The resulting map showed consensus about who last mile populations are, how research should be undertaken in the last mile and why last mile health disparities exist. The map can be used to inform research training programs, however, repeating this process with researchers and members from different last mile populations would also add further insight.

Last Mile Access to Enriched Children's Complementary Food: Mitigating Malnutrition in Kenya

Commercial complementary foods are not accessible at the last mile of delivery, despite a veritable stunted growth explosion in Kenya. A Mile for the Brain aims to reduce child malnutrition by solving the pervasive distribution bottlenecks and prohibitive pricing challenges. This paper presents the systematized measurement for change process. We focus on the selection of off-the-shelf complementary foods, training of women entrepreneurs responsible for commercializing these complementary foods, coaching given to mothers on appropriate feeding education, and lastly the learning cycle revolving around feeding mothers, entrepreneurs for the Mile for the Brain social enterprise itself. We highlight the real-life challenges involved in this process in the context of adversity and constrained resources. The results, findings, and policy implications of this study will be reported elsewhere.

Traffic Safety Perception, Attitude, and Feeder Mode Choice of Metro Commute: Evidence from Shenzhen

Like many other transit modes, the metro provides stop-to-stop services rather than door-to-door services, so its use undeniably involves first- and last-mile issues. Understanding the determinants of the first- and last-mile mode choice is essential. Existing literature, however, mostly overlooks the mode choice effects of traffic safety perception and attitudes toward the mode. To this end, based on a face-to-face questionnaire survey in Shenzhen, China, this study uses the two-sample t-test to confirm the systematic differences in traffic safety perception and attitudes between different subgroups and develops a series of multinomial logistic (MNL) models to identify the determinants of first- and last-mile mode choice for metro commuters. The results of this study show that: (1) Walking is the most frequently used travel mode, followed by dockless bike-sharing (DBS) and buses; (2) Variances in traffic safety perception and attitude exist across gender and location; (3) Vehicle-related crash risks discourage metro commuters from walking to/from the metro station but encourage them to use DBS and buses as feeder modes; (4) DBS–metro integration is encouraged by the attitude that DBS is quicker than buses and walking, and positive attitudes toward the bus and DBS availability are decisive for the bus–metro and DBS–metro integration, respectively; and (5) Substantial differences exist in the mode choice effects of traffic safety perception and attitudes for access and egress trips. This study provides a valuable reference for metro commuters’ first- and last-mile travel mode choice, contributing to developing a sustainable urban transport system.

Challenges in the last mile of the global guinea worm eradication program

OBJECTIVE

The objective of this study was to identify the existing challenges in the last mile of the global Guinea Worm Eradication Program.

METHODS

Systematic Review of articles published from 1 January 2000 until 31 December 2019. Papers listed in Cochrane Library, Google Scholar, ProQuest PubMed and Web of Science databases were searched and reviewed.

RESULTS

Twenty-five articles met inclusion criteria of the study and were selected for analysis. Hence, relevant data were extracted, grouped and descriptively analysed. Results revealed 10 main challenges complicating the last mile of global guinea worm eradication: unusual mode of transmission; rising animal guinea worm infection; suboptimal surveillance; insecurity; inaccessibility; inadequate safe water points; migration; poor case containment measures, ecological changes; and new geographic foci of the disease.

CONCLUSION

This systematic review shows that most of the current challenges in guinea worm eradication have been present since the start of the campaign. However, the recent change in epidemiological patterns and nature of dracunculiasis in the last remaining endemic countries illustrates a new twist. Considering the complex nature of the current challenges, there seems to be a need for a more coordinated and multidisciplinary approach of dracunculiasis prevention and control measures. These new strategies would help to make history by eradicating dracunculiasis as the first ever parasitic disease.

Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters

Interest in the application of machine learning (ML) techniques to medicine is growing fast and wide because of their ability to endow decision support systems with so-called artificial intelligence, particularly in those medical disciplines that extensively rely on digital imaging. Nonetheless, achieving a pragmatic and ecological validation of medical AI systems in real-world settings is difficult, even when these systems exhibit very high accuracy in laboratory settings. This difficulty has been called the “last mile of implementation.” In this review of the concept, we claim that this metaphorical mile presents two chasms: the hiatus of human trust and the hiatus of machine experience. The former hiatus encompasses all that can hinder the concrete use of AI at the point of care, including availability and usability issues, but also the contradictory phenomena of cognitive ergonomics, such as automation bias (overreliance on technology) and prejudice against the machine (clearly the opposite). The latter hiatus, on the other hand, relates to the production and availability of a sufficient amount of reliable and accurate clinical data that is suitable to be the “experience” with which a machine can be trained. In briefly reviewing the existing literature, we focus on this latter hiatus of the last mile, as it has been largely neglected by both ML developers and doctors. In doing so, we argue that efforts to cross this chasm require data governance practices and a focus on data work, including the practices of data awareness and data hygiene. To address the challenge of bridging the chasms in the last mile of medical AI implementation, we discuss the six main socio-technical challenges that must be overcome in order to build robust bridges and deploy potentially effective AI in real-world clinical settings.

National Iodine Deficiency Disorders Control Programme: Current status & future strategy

Iodine deficiency disorders (IDDs) constitute a significant public health problem globally. In India, the entire population is prone to IDDs due to deficiency of iodine in the soil of the sub-continent and thus both animal and plant source food grown on the iodine-deficient soil. IDDs encompass the spectrum of disability and disease and include goitre, cretinism, hypothyroidism, abortion, stillbirth, brain damage, learning disabilities, mental retardation, psychomotor defects, hearing and speech impairment. Iodine deficiency is known to be the single largest cause of preventable brain damage. IDDs with their causal association with brain development, cognition, and learning disabilities impair the human resource development and progress of the country. The children born in iodine-deficient regions on an average have 13.5 intelligence quotient (IQ) points lesser than children born in iodine-sufficient regions. IDD control programme in India is a public health success story, with 92 per cent of the population consuming iodized salt. The partnership between government agencies, academic institutions, salt industry, development agencies and civil society has been key to achieve this success story. The sustainable elimination of iodine deficiency in India is within reach, what is required is accelerated and coordinated effort by all key stakeholder at national and State level.

[Implementing the "last mile" program in new nurse clinical education]

The shortage of working nurses has made Taiwan's low nursing retention rate a critical issue in domestic healthcare. Main reasons for new nurses leaving their jobs include high pressure, overtime work, heavy workload, interpersonal relationship problems with colleagues, and inadequate support from administrators. In response, nursing educators designed the "last mile" program to improve the hands-on competence of nursing students with the goal of increasing post-graduation retention rates. This article introduces the last mile program in its present form and discusses the challenges faced in transitioning the program from the classroom into the clinical training environment. The authors suggest establishing a challenge test prior to implementing the last mile program, recruiting role-model preceptors, adjusting training program / project budgets, and developing partnerships between nursing educators and clinicians to enhance the clinical competence of new nurses and ultimately increase professional nurse retention rates, competence, and accountability.