Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic

Hu, Songhua; Xiong, Chenfeng; Liu, Zhanqin; Zhang, Lei

doi:10.1016/j.jtrangeo.2021.102997

Cited by 128 publications

(107 citation statements)

References 41 publications

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“…The processing and visualization of these data in space, combined with the analysis of other databases, showed a significant decrease in the number of trips caused by the introduction of further constraints related to combating the pandemic. Similar observations confirm the results of studies for bike-sharing usage during the Covid-19 pandemic [ 48 ].…”

Section: Literature Review/theoretical Backgroundsupporting

confidence: 90%

Big data insight on global mobility during the Covid-19 pandemic lockdown

Sadowski

Galar²,

Walasek

et al. 2021

J Big Data

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The Covid-19 pandemic that began in the city of Wuhan in China has caused a huge number of deaths worldwide. Countries have introduced spatial restrictions on movement and social distancing in response to the rapid rate of SARS-Cov-2 transmission among its populations. Research originality lies in the taken global perspective revealing indication of significant relationships between changes in mobility and the number of Covid-19 cases. The study uncovers a time offset between the two applied databases, Google Mobility and John Hopkins University, influencing correlations between mobility and pandemic development. Analyses reveals a link between the introduction of lockdown and the number of new Covid-19 cases. Types of mobility with the most significant impact on the development of the pandemic are “retail and recreation areas", "transit stations", "workplaces" "groceries and pharmacies”. The difference in the correlation between the lockdown introduced and the number of SARS-COV-2 cases is 81%, when using a 14-day weighted average compared to the 7-day average. Moreover, the study reveals a strong geographical diversity in human mobility and its impact on the number of new Covid-19 cases.

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Section: Literature Review/theoretical Backgroundsupporting

confidence: 90%

Big data insight on global mobility during the Covid-19 pandemic lockdown

Sadowski

Galar²,

Walasek

et al. 2021

J Big Data

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show abstract

“…The effect of COVID-19 on bike-sharing trips on the other hand in the US is diversified according to a recent study in New York, Boston and Chicago; while trip frequency decreased in all three cases, the average trip duration increased significantly especially for the latter two cities [133]. Another study in Chicago showed that: the proportion of commuting bike-share trips is substantially lower during the pandemic; the trend of bike-sharing usage follows an "increase-decrease-rebound" pattern; and bike-sharing is now framed as a more resilient option compared with transit, driving, and walking [134].…”

Section: Cycling Measures In Americamentioning

confidence: 99%

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

et al. 2021

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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.

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“…Bikeshare programs proved to be relatively resilient (although evaluation of year-on-year bikeshare trends is complex because the pandemic featured lockdown orders, price reductions, incentive programs, and other factors that could have influenced use). In some cities, such as Boston (Tokey 2020), Chicago (Hu et al 2021b), New York City (Hu 2020;Pase et al 2020), Budapest (Bucsky 2020), and Seoul (Park et al 2020), bikeshare use surged in the early weeks of the pandemic relative to the same calendar weeks a year earlier, while in other cities, bikeshare use declined with the onset of the pandemic (Tokey 2020). In most cities, bikeshare use fell as lockdowns were imposed but recovered relatively rapidly as the pandemic progressed, far more rapidly than did transit use (Pase et al 2020;Tokey 2020).…”

Section: Changing Modes Of Travel?mentioning

confidence: 99%

COVID-19, the Built Environment, and Health

Frumkin

2021

Environ Health Perspect

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BACKGROUND: Since the dawn of cities, the built environment has both affected infectious disease transmission and evolved in response to infectious diseases. COVID-19 illustrates both dynamics. The pandemic presented an opportunity to implement health promotion and disease prevention strategies in numerous elements of the built environment. OBJECTIVES: This commentary aims to identify features of the built environment that affect the risk of COVID-19 as well as to identify elements of the pandemic response with implications for the built environment (and, therefore, for long-term public health). DISCUSSION: Built environment risk factors for COVID-19 transmission include crowding, poverty, and racism (as they manifest in housing and neighborhood features), poor indoor air circulation, and ambient air pollution. Potential long-term implications of COVID-19 for the built environment include changes in building design, increased teleworking, reconfigured streets, changing modes of travel, provision of parks and greenspace, and population shifts out of urban centers. Although it is too early to predict with confidence which of these responses may persist, identifying and monitoring them can help health professionals, architects, urban planners, and decision makers, as well as members of the public, optimize healthy built environments during and after recovery from the pandemic.

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Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic

Cited by 128 publications

References 41 publications

Big data insight on global mobility during the Covid-19 pandemic lockdown

Big data insight on global mobility during the Covid-19 pandemic lockdown

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

COVID-19, the Built Environment, and Health

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