A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Understanding bike-sharing mobility patterns in response to the COVID-19 pandemic
Abstract The COVID-19 pandemic lasting for several years brings huge challenges to the bike-sharing system and even society structure. It is urgent to explore the pandemic impacts on mobility patterns through outbreak and recovery stages from network perspective. This paper proposed a comprehensive approach to investigate the bike-sharing mobility patterns with the case in Washington D.C., which is also new perspective for human mobility patterns. Multiple-source data, including bike-sharing trip information, COVID-19 information, geographic and POI information, were collected. Although the total bike-sharing trips decreased significantly in spatial-temporal analysis, the trips made by casual users gradually increased through outbreak and recovery of pandemic, indicating the change of travel habits. In addition, the docking stations and trips from 2019 to 2022 were utilized to construct the bike-sharing network. The results present that major network properties, such as connectivity, clustering coefficient, and accessibility, experienced significant decrease in 2020 and strong recovery in 2021 and 2022, which demonstrated the well resilience of bike-sharing system. Moreover, through the detection of community with modularity method, the evolution of community structure in response to the outbreak and recovery of pandemic was captured. Although the travel distance and time for bike-sharing trips changed from 2019 to 2022, the basic three community layout are still stable. To better understand the community structure, the POI (Point of Interests) auxiliary analysis was conducted and central community was found to have similar proportion of POIs even during the pandemic. These results provide references for bike-sharing management and operation policy through outbreak and recovery of pandemic.
Highlights The trips completed by casual riders are found to be gradually increased through the COVID-19 outbreak and recovery stages. From the network perspective, the indicators for bike-sharing system are resilient. Community detection approach can capture the evolution of community layout and structure. POI auxiliary analysis provides deep understanding of community structure.
Understanding bike-sharing mobility patterns in response to the COVID-19 pandemic
Abstract The COVID-19 pandemic lasting for several years brings huge challenges to the bike-sharing system and even society structure. It is urgent to explore the pandemic impacts on mobility patterns through outbreak and recovery stages from network perspective. This paper proposed a comprehensive approach to investigate the bike-sharing mobility patterns with the case in Washington D.C., which is also new perspective for human mobility patterns. Multiple-source data, including bike-sharing trip information, COVID-19 information, geographic and POI information, were collected. Although the total bike-sharing trips decreased significantly in spatial-temporal analysis, the trips made by casual users gradually increased through outbreak and recovery of pandemic, indicating the change of travel habits. In addition, the docking stations and trips from 2019 to 2022 were utilized to construct the bike-sharing network. The results present that major network properties, such as connectivity, clustering coefficient, and accessibility, experienced significant decrease in 2020 and strong recovery in 2021 and 2022, which demonstrated the well resilience of bike-sharing system. Moreover, through the detection of community with modularity method, the evolution of community structure in response to the outbreak and recovery of pandemic was captured. Although the travel distance and time for bike-sharing trips changed from 2019 to 2022, the basic three community layout are still stable. To better understand the community structure, the POI (Point of Interests) auxiliary analysis was conducted and central community was found to have similar proportion of POIs even during the pandemic. These results provide references for bike-sharing management and operation policy through outbreak and recovery of pandemic.
Highlights The trips completed by casual riders are found to be gradually increased through the COVID-19 outbreak and recovery stages. From the network perspective, the indicators for bike-sharing system are resilient. Community detection approach can capture the evolution of community layout and structure. POI auxiliary analysis provides deep understanding of community structure.
Understanding bike-sharing mobility patterns in response to the COVID-19 pandemic
Jia, Jianmin (author) / Liu, Chunsheng (author) / Wang, Xiaohan (author) / Zhang, Hui (author) / Xiao, Yan (author)
Cities ; 142
2023-08-27
Article (Journal)
Electronic Resource
English