Evaluating the public acceptance of sustainable mobility interventions responding to Covid-19: The case of the Great Walk of Athens and the importance of citizen engagement

Assessing and improving active travel around urban hospitals: A case of Xiangya hospital, China

Since the outbreak of COVID-19, there has been a growing trend toward active travel. However, many cities have not given sufficient attention to active transportation, resulting in inadequate safety measures for pedestrians and cyclists. This issue becomes particularly critical around hospitals, closely associated with COVID-19 and where traffic can be more intricate and hazardous. Hence, there is a pressing need for a quantitative assessment of the active travel environment surrounding hospitals to obtain a practical evaluation and devise improvement strategies. This study constructs an Extenics evaluation model to assess the safety, accessibility, traffic pressure, convenience, and comfort of the active travel environment near Xiangya Hospital. Subsequently, optimization strategies are proposed based on the evaluation outcomes. The evaluation results show high traffic pressure around the hospital during peak hours while the infrastructure is insufficient. A diversion strategy must be developed based on the evaluation findings to address safety concerns. Furthermore, issues such as inadequate non-motorized lanes and accessibility facilities in the area are identified. Correspondingly, improvement strategies tailored to the specific problems of each street are suggested based on the evaluation results. While this research focuses on urban hospitals, it aims to offer valuable insights into evaluating and enhancing active travel environments around large public buildings.

A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy

COVID-19 measures implied many changes to travel behaviour and transport mode choice during the pandemic. This study seeks to understand what individual characteristics and travel attributes are related to transport mode choice before, during, and after the first lockdown in Italy. Based on an online survey (carried out in May 2020 in Milan), three multinomial regression models are presented. The results show that and in which measure parameters regarding distance and duration of daily travel are markedly related to transport mode before the lockdown. However, these factors are less significantly associated with the transport mode during and after the lockdown. Meanwhile, factors such as Preferences and Worry about using public transport have more significant relationship with the modal choice during the pandemic. Regarding individual characteristics, women are more likely to use active mode during and after the lockdown. Additionally, two personality traits of Agreeableness, and Openness to experiences are related to transport mode during and after the lockdown, respectively. Overall, this study reveals that in addition to socio-demographic factors, other variables such as worry about using public transport, preference, and personality are associated with the choice of transport mode during the lockdown.

The relationship between subjective well-being and individual characteristics, personality traits, and choice of transport mode during the first lock-down in Milan, Italy

Introduction

Concerning the adverse effect of COVID-19 virus pandemic on subjective well-being and daily travel, this research sought to analyse which personal characteristics, personality traits, and transport modes are related to positive and negative affect, and satisfaction with life during the first lock-down in Milan, Italy.

Method

In the spring of 2020, an online survey was conducted in Milan, and 1025 responses were collected. Then, three Multinomial Ordinal Regression models (MNOR) are carried out to examine the relationship between the data.

Results

Results show that women were more likely to feel fewer positive emotions than men. More physical activity, and income were positively associated with the models. Significant relevance of personality traits with subjective well-being is reported Regarding daily mobility during the pandemic, transport mode after lock-down, satisfaction with public transport, and worry about using public transport were found relevant to subjective wellbeing.

Conclusions

Whereas the feeling of worry about using public transport increased the negative affect. Transport mode during lock-down was not related to subjective well-being, though the preferred mode of transport after lock-down was related to satisfaction with life. Respondents who chose to use private cars more than other modes of transport were more likely to have higher satisfaction with life. Findings are discussed to improve transport and mobility planning during pandemics.

Factors affecting public transport performance due to the COVID-19 outbreak: A worldwide analysis

In this paper we investigate the public transport trip frequency variations, as well as the reasons that led to the shift away from public transport means, due to the COVID-19 pandemic. We studied relevant data from the Moovit platform, and we compared operational and trip frequency characteristics of public transport systems before and after the outbreak of the pandemic in 87 cities worldwide. On average, waiting times at public transport stops/stations increased while trip distances decreased, apparently due to the mobility restriction and social distancing measures implemented in 2020. Most of the Moovit users who said that they abandoned public transport in 2020 were found in Italy and Greece. We developed linear regression analysis models to investigate (among the 35 variables examined in the study) the relationship between public transport abandonment rates and socioeconomic factors, quality of service characteristics, and indicators of pandemic's spread. Empirical findings show that public transport dropout rates are positively correlated with the COVID-19 death toll figures, the cleanliness of public transport vehicles and facilities, as well as with the income inequality (GINI) index of the population, and thus reconfirm previous research findings. In addition, the waiting time at stops/stations and the number of transfers required for commute trips appeared to be the most critical public transport trip segments, which significantly determine the discontinuation of public transport use under pandemic circumstances. Our research findings indicate specific aspects of public transport services, which require tailored adjustments in order to recover ridership in the post-pandemic period.