Impact of the COVID-19 pandemic on urban human mobility - A multiscale geospatial network analysis using New York bike-sharing data

Short- and long-term effects of COVID-19 on bicycle sharing usage

“…Interestingly, the average duration of BSS trips was not significantly altered by the government restrictions that is contrary to what Wang and Noland, 2021 , Xin et al, 2022 found in New York, who observed an increase. Similar results were found by Heydari et al (2021) for London.…”

“… Song et al (2022) found similar, but even larger effects in Singapore. Interestingly, evidence from London ( Li et al, 2021a , Heydari et al, 2021 ), New York ( Wang and Noland, 2021 , Xin et al, 2022 ), Manhattan ( Lei and Ozbay, 2021 ), and Zurich ( Li et al, 2021b ) showed a decline in BSS usage after lockdown measures were introduced. The differing trends can be attributed to the fact that two opposing forces are present: government restrictions increased while reduced overall mobility decreased BSS usage.…”

“…Furthermore, the impact might differ as the pandemic develops. Xin et al (2022) pointed out that there was a constant change on how the pandemic impacted the BSS network in New York, hence, it is important to separately analyse the different periods of the pandemic.…”

Impacts of COVID-19 on bike-sharing usages in Seoul, South Korea

“…Lastly, observing the impacts of our COVID-19 dummy variable on our model revealed that despite the COVID-19 pandemic, people were likely to use the bike-sharing service in Seoul more often and for longer durations after the first COVID-19 patient was reported in January 2020. Compared to the previous a multiscale geospatial network analysis using New York bike-sharing data that explained the pandemic has strong negative impact on the stability of the bike-sharing system ( Xin et al, 2022 ), our study showed relevant different results of bike-sharing patterns.…”

“…A survey-based study to assess the impact of COVID-19 on bike-sharing usage in Greece showed that bike-sharing is more likely to be promoted as a preferable mobility option for people during the pandemic ( Nikiforiadis et al, 2020 ). A multiscale geospatial network analysis using New York bike-sharing data showed that the riding flow and its spatiotemporal distribution pattern changed significantly along with the development of the pandemic ( Xin et al, 2022 ).…”