Did Safe Cycling Infrastructure Still Matter During a COVID-19 Lockdown?

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 vision for incorporating human mobility in the study of human-wildlife interactions

As human activities increasingly shape land- and seascapes, understanding human-wildlife interactions is imperative for preserving biodiversity. Habitats are impacted not only by static modifications, such as roads, buildings and other infrastructure, but also by the dynamic movement of people and their vehicles occurring over shorter time scales. Although there is increasing realization that both components of human activity substantially affect wildlife, capturing more dynamic processes in ecological studies has proved challenging. Here we propose a conceptual framework for developing a 'dynamic human footprint' that explicitly incorporates human mobility, providing a key link between anthropogenic stressors and ecological impacts across spatiotemporal scales. Specifically, the dynamic human footprint integrates a range of metrics to fully acknowledge the time-varying nature of human activities and to enable scale-appropriate assessments of their impacts on wildlife behaviour, demography and distributions. We review existing terrestrial and marine human-mobility data products and provide a roadmap for how these could be integrated and extended to enable more comprehensive analyses of human impacts on biodiversity in the Anthropocene.

One year of COVID-19: Impacts on safe driving behavior and policy recommendations

INTRODUCTION

In the unprecedented year of 2020, the rapid spread of COVID-19 disrupted everyday activities worldwide, leading the majority of countries to impose lockdowns and confine citizens in order to minimize the exponential increase in cases and casualties. To date, very few studies have been concerned with the effect of the pandemic on driving behavior and road safety, and usually explore data from a limited time span.

METHOD

This study presents a descriptive overview of several driving behavior indicators as well as road crash data in correlation with the strictness of response measures in Greece and the Kingdom of Saudi Arabia (KSA). A k-means clustering approach was also employed to detect meaningful patterns.

RESULTS

Results indicated that during the lockdown periods, speeds were increased by up to 6%, while harsh events were increased by about 35% in the two countries, compared to the period after the confinement. However, the imposition of another lockdown did not cause radical changes in Greek driving behavior during the late months of 2020. Finally, the clustering algorithm identified a "baseline," a "restrictions," and a "lockdown" driving behavior cluster, and it was shown that harsh braking frequency was the most distinctive factor.

POLICY RECOMMENDATIONS

Based on these findings, policymakers should focus on the reduction and enforcement of speed limits, especially within urban areas, as well as the incorporation of active travelers in the current transport infrastructure.

The role of neighbourhood design in cycling activity during COVID-19: An exploration of the Melbourne experience

COVID-19 restrictions imposed significant changes on human mobility patterns, with some studies finding significant increases or decreases in cycling. However, to date there is little understanding on how the neighbourhood-level built environment influenced cycling behaviour during the COVID-19 restrictions. As different neighbourhood have different built environment characteristics, it is possible that cycling trends varied across different built environment settings. We aimed to answer this question by examining recreational cycling during different stages of lockdown in Melbourne, Australia. We compared self-reported recreational cycling frequency (weekly) data from 1344 respondents between pre-COVID and two different stages in lockdown. We tested whether the built environment of their residential neighbourhood and different sociodemographic characteristics influenced leisure cycling rates and whether the effect of these factors varied between different stages of COVID-19 restriction. We found that cycling declined significantly during the two stages of COVID-19 lockdown. Cycling infrastructure density and connectivity are two built environment factors that had a significant effect on limiting the decline in leisure cycling during the pandemic. Furthermore, men and younger people had higher cycling rates in comparison to other groups, suggesting that restrictions on indoor activities and travel limits were not enough to encourage women or older people to cycle more during the pandemic.

Riding through the pandemic: Using Strava data to monitor the impacts of COVID-19 on spatial patterns of bicycling

COVID-19 prompted a bike boom and cities around the world responded to increased demand for space to ride with street reallocations. Evaluating these interventions has been limited by a lack of spatially-temporally continuous ridership data. Our paper aims to address this gap using crowdsourced data on bicycle ridership. We evaluate changes in spatial patterns of bicycling during the first wave of the COVID-19 pandemic (Apr - Oct 2020) in Vancouver, Canada using Strava data and a local indicator of spatial autocorrelation. We map statistically significant change in ridership and reference clusters of change to a high-resolution base map. Amongst streets where bicycling increased, we measured the proportion of increase occurring on pre-existing bicycle facilities or street reallocations compared to streets without. In all our analyses, we evaluate patterns across subsets of Strava data representing recreation, commuting, and ridership generated by women and older adults (55 + ). We found consistent and unique patterns by trip purpose and demographics: samples generated by women and older adults showed increases near green and blue spaces and on street reallocations that increased access to parks, and these patterns were also mirrored in the recreation sample. Commute ridership highlighted distinct patterns of increase around the hospital district. Across all subsets most increases occurred on bicycle facilities (pre-existing or provisional), with a strong preference for high-comfort facilities. We demonstrate that changes in spatial patterns of bicycle ridership can be monitored using Strava data, and that nuanced patterns can be identified using trip and demographic labels in the data.

Impact of COVID-19 lockdown on the behavior change of cyclists in Lisbon, using multinomial logit regression analysis

The 2019 novel coronavirus outbreak hit most countries and cities globally, dramatically impacting how people live during lockdown periods. Compulsorily, socioeconomic activities and mobility patterns changed while long-lasting structural changes might remain. Focusing on this very particular liminal event, this paper aims to present and analyze the impact of the SARS-CoV-2 virus lockdown on the behavior change of cyclists and previously non-cyclists in Lisbon, Portugal, knowing that no concomitant interventions occurred in the cycling environment during the period analyzed (e.g., pop-up interventions). From a 1-min questionnaire in 5 locations in Lisbon's existing cycling lanes, we aimed to collect (n = 493) revealed preferences on cycling frequency before and after the lockdown, which we used to calibrate a weighted multinomial logit model to analyze respondents' probability of increasing, maintaining, or decreasing their cycling frequency. Results suggest that people tended to cycle more often after the lockdown than before. For every five cyclists, two cycled more frequently while two others maintained their cycling frequency. Most cycling trips were recreational or to exercise, and these increased after the lockdown, while trips for work and school decreased, as expected. Moreover, the lower the individuals' cycling frequency levels before the lockdown, the more they cycled after it. Our study diagnoses the impact of the lockdown on cycling habits, indicating an overall propensity to cycling more by the Lisbon citizens. Hence, authorities need to act and make quick infrastructural changes (e.g., pop-up cycling lanes) and encourage the population to use more bikes (e.g., financial incentives for bike purchases).

The Role of Urban Environment Design on Health During the COVID-19 Pandemic: A Scoping Review

The COVID-19 pandemic has had a significant impact on the ways and times of living and using urban spaces, specifically referring to the dimension of daily life. The restrictive measures introduced during the lockdown periods have necessarily led to a re-evaluation of proximity scale bringing particularly attention to issues relating to public transport and mobility and to the quality and distribution of open public spaces. This scoping review explores the relationship between the urban environment design and health referring to the constraints imposed by the COVID-19 pandemic in the period from 2020 to 2021, with two main objectives: (i) to investigate the recurring urban design topics and issues related to the spatial and social needs stressed by the emergency; (ii) to identify the urban design measures both experienced during the health emergency and proposed in view of a post-COVID urban and territorial planning as they are considered impactful on health promotion. The search strategy was based on a set of keywords searched in two electronic databases which allowed the identification of a total of 1,135 contributions. After defining the eligibility criteria, we proceeded to the screening process concluded with the inclusion of 19 studies. The analysis of the contributions led to the systematization of six main urban topics-and to the corresponding spatial requirements and project proposals-highlighted as relevant and supportive in terms of the promotion of inhabitant's public health: (i) transport, mobility and accessibility; (ii) green and outdoor spaces; (iii) public and pedestrians' spaces; (iv) care services and health network; (v) communications; (vi) public and business services. The resulting framework is useful for guiding healthy city planning toward public policies, tools, regulations, urban measures, and emergency contrast provisions, that contribute to increasing the effectiveness in terms of safety and well-being.

Bike-Sharing Adoption in Cross-National Contexts: An Empirical Research on the Factors Affecting Users’ Intentions

Due to the need to promote a larger scale of low-carbon commuting, it is important to identify the influencing factors of the users’ intentions in the adoption of sharing bikes. For studying bike-sharing adoption in cross-national contexts, this research establishes a new model. By conducting multi-group structural equation modeling (SEM), the influencing factors of the adoption in China and Estonia are identified, respectively. Meanwhile, the moderation effects of the national context on several influencing factors are confirmed, and this result indicates that the contexts for bike-sharing adoption are different in the two countries. Two factors have also been found, namely the availability of infrastructure and the beneficial cost, for which policy interventions could have a significant impact in China but not in Estonia. Thus, more active policy interventions might lead to a higher level of adoption intention for the Chinese. This finding provides the implication that implementing policy interventions could be critical for accelerating the adoption of bike sharing and promoting low-carbon commuting.

Did air pollution continue to affect bike share usage in Seoul during the COVID-19 pandemic?

INTRODUCTION

The role of cycling has become more important in the urban transport system during the Covid-19 pandemic. As public transport passengers have tried to avoid crowded vehicles due to safety concerns, a rapid surge of cycling activities has been noted in many countries. This implies that more cyclists might be exposed to air pollution, potentially leading to health problems in cities like Seoul where the level of air pollution is high.

METHODS

We utilised three years of bike sharing programme (Ddareungi) data in Seoul and time series models to examine the changes in the relationship between particulate concentration (PM_2.5) and total daily cycling duration before and during the pandemic.

RESULTS

We find that cyclists reacted less to the PM_2.5 level during the pandemic, potentially due to the lack of covid-secure travel modes. Specifically, our results show significant negative associations between concentrations of PM_2.5 and total daily cycling duration before the pandemic (year 2018 and 2019). However, this association became insignificant in 2020.

CONCLUSIONS

Building comprehensive cycling infrastructure that can reduce air pollution exposure of cyclists and improving air quality alert systems could help build a more resilient city for the future.

Transport changes and COVID-19: From present impacts to future possibilities

Changes in people's movement and travel behaviour have been apparent in many places during the COVID-19 pandemic, with differences seen at a range of spatial scales. These changes, occurring as a result of the COVID-19 'natural experiment', have afforded us an opportunity to reimagine how we might move in our day-to-day travels, offering a hopeful glimpse of possibilities for future policy and planning around transport. The nature and scale of changes in movement and transport resulting from the pandemic have shown we can shift travel behaviour with strong policy responses, which is especially important in the concurrent climate change crisis.

Did the COVID-19 pandemic influence traffic fatalities in 2020? A presentation of first findings

The year 2020 was an extraordinary year due to the COVID-19 pandemic. This pandemic resulted in lockdowns and confinements globally and emptier streets and roads. Traffic patterns and traffic composition (modal split) changed considerably during the pandemic and as a consequence the number of people killed and injured in road crashes. The aim of this research is to present the number of road fatalities and the fatality rates (fatalities per kilometer driven) in 2020 and to compare these numbers and rates with the previous period (2017–2019), a baseline. An online questionnaire was distributed among the forty countries that are members of the International Safety Data and Analysis Group (IRTAD) in the International Transport Forum and 24 were in a position to submit the requested information before the 1st of June 2021. The questionnaire requested information on the monthly number of fatalities on a national level for four years, (2017–2020) and on kilometres driven. The number of fatalities in 2020 was 17.3% lower in the 24 participating countries compared with the baseline period and the reduction is almost seven times higher than annually in these countries in the period 2010–2019. The reduction took place in spring 2020 and not so much in the remainder of the year. The highest reduction were measured among young (0–17) and elderly people (75 and older), with public transport and on motorways. With the exception of one country, reductions in fatalities have been measured in all countries, however we observe major differences between countries. Regarding fatality rates (fatalities per vehicle kilometer travelled), we also observe major differences between countries and not a stable pattern over 2020 and a remarkable increase in April 2020, the month with the largest fatality reduction. Countries with severe COVID-19 restrictions do not necessarily demonstrate the greatest reductions in road fatalities. It is recommended to carry our further analysis to find explanations for the results and for the differences between the countries.

Quantifying the impact of COVID-19 on e-bike safety in China via multi-output and clustering-based regression models

The impacts of COVID-19 on travel demand, traffic congestion, and traffic safety are attracting heated attention. However, the influence of the pandemic on electric bike (e-bike) safety has not been investigated. This paper fills the research gap by analyzing how COVID-19 affects China's e-bike safety based on a province-level dataset containing e-bike safety metrics, socioeconomic information, and COVID-19 cases from 2017 to 2020. Multi-output regression models are adopted to investigate the overall impact of COVID-19 on e-bike safety in China. Clustering-based regression models are used to examine the heterogeneous effects of COVID-19 and the other explanatory variables in different provinces/municipalities. This paper confirms the high relevance between COVID-19 and the e-bike safety condition in China. The number of COVID-19 cases has a significant negative effect on the number of e-bike fatalities/injuries at the country level. Moreover, two clusters of provinces/municipalities are identified: one (cluster 1) with lower and the other (cluster 2 that includes Hubei province) higher number of e-bike fatalities/injuries. In the clustering-based regressions, the absolute coefficients of the COVID-19 feature for cluster 2 are much larger than those for cluster 1, indicating that the pandemic could significantly reduce e-bike safety issues in provinces with more e-bike fatalities/injuries.

Housing and accessibility after the COVID-19 pandemic: Rebuilding for resilience, equity and sustainable mobility

A more sustainable post COVID-19 world requires urban transport policies aiming for resilience, social equity and decarbonisation. Instead of just focusing on the transport sector, the authors propose an integrated approach to housing and mobility. This approach acknowledges the challenges posed by inadequate housing and dependence on motorised transport during the COVID-19 crisis. In contrast, adequate housing and cycling became paramount resources while confronting the pandemic. Using Santiago de Chile as a case study, this research examines how different relocation scenarios for its current housing deficit cannot only affect the ability to implement stay-at-home measures, but also the potential of cycling as a relevant commuting alternative. The current location of the families suffering this deficit is compared to three scenarios: compact, pericentral and extended. In light of the learnings from the COVID-19 crisis, a housing-cycling policy becomes a tool for resilience; equity is achieved by enforcing the right to housing, by increasing job opportunities among the poor, and by reducing the dependence on expensive motorised transport; decarbonisation is achieved by promoting active transportation and reducing the dependence on motorisation.

Changes in Walkable Streets during the COVID-19 Pandemic in a Suburban City in the Osaka Metropolitan Area

The purpose of this study was to identify the walkable streets where traffic behavior changed according to each residential cluster during the COVID-19 pandemic. By elucidating the changes, it is possible to identify streets that should be redesigned following the changes in traffic behavior in relation to human mobility. This study analyzed Ibaraki City, a suburban city located in the Osaka Metropolitan Area. The analysis compared the panel data of the GPS Location History for April 2020 and April 2019. The analysis method used was Empirical Bayesian kriging. The results show that the speed significantly increased in the dense, sprawl, mountain, and old NT clusters. It was also found that the number of cyclists increased during the COVID-19 pandemic. The results suggest a need to design walkable streets according to each residential cluster for the post-COVID-19 pandemic era. For example, some car lanes need to be converted to bike lanes in the main neighborhood to create walkable streets in the clusters.

Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future

The COVID-19 pandemic has affected our cities in monumental ways with no sector likely being more severely impacted than transport. Lockdowns, physical spacing, transport restrictions and stay-at-home guidelines have transformed personal mobility and highlighted the mistakes of an unbalanced pro-car culture that defined a century of urban planning. One immediate effect of the virus in relation to travel demand and supply was the emergence of active travel modes because of their unique ability to provide a socially distanced way of transport. Cycling is one of the modes that has enjoyed significant attention. Numerous cities have reallocated street and public space to cyclists and introduced pro-bike interventions like pop-up cycle lanes, e-bike subsidies, free bike-share use and traffic calming measures. This newly found outbreak-induced momentum creates an opportunity to establish a new ethos that allows the promotion of potentially permanent strategies that may help cycling to be (re-)established as a robust, mainstream and resilient travel mode for inner city trips and not as a second-class alternative operating under the automobile’s giant shadow. This paper provides a state-of-the-art description of the anti-COVID cycling-friendly initiatives that have been introduced globally, the successes and failures of these initiatives, the lessons learnt that can help us redefine the bicycle’s role in local societies today and a best cycling practice policy guide for planning a more bike-centric future.

Six months in: pandemic crime trends in England and Wales

Governments around the world have enforced strict guidelines on social interaction and mobility to control the spread of the COVID-19 virus. Evidence has begun to emerge which suggests that such dramatic changes in people's routine activities have yielded similarly dramatic changes in criminal behavior. This study represents the first 'look back' on six months of the nationwide lockdown in England and Wales. Using open police-recorded crime trends, we provide a comparison between expected and observed crime rates for fourteen different offence categories between March and August, 2020. We find that most crime types experienced sharp, short-term declines during the first full month of lockdown. This was followed by a gradual resurgence as restrictions were relaxed. Major exceptions include anti-social behavior and drug crimes. Findings shed light on the opportunity structures for crime and the nuances of using police records to study crime during the pandemic.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1186/s40163-021-00142-z.