Do built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic?
<p>Ridesourcing has undergone a magnificent development pre pandemic and has had a transformative impact on travel behavior and urban mobility. While an individual's travel behavior has been found to be inevitably influenced by the pandemic, how COVID-19 influences the utilization of ride...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Elsevier
2023
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| _version_ | 1797110393867337728 |
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| author | Jin, T Cheng, L Wang, S Cao, J Schwanen, T Witlox, F |
| author_facet | Jin, T Cheng, L Wang, S Cao, J Schwanen, T Witlox, F |
| author_sort | Jin, T |
| collection | OXFORD |
| description | <p>Ridesourcing has undergone a magnificent development pre pandemic and has had a transformative impact on travel behavior and urban mobility. While an individual's travel behavior has been found to be inevitably influenced by the pandemic, how COVID-19 influences the utilization of ridesourcing has rarely been discussed in previous studies. Understanding how COVID-19 has reshaped people's ridesourcing usage may also be helpful for providing updated policy implications in the post-pandemic era. The objective of this research is to investigate the extent to which the impact of the built environment on the utilization of ridesourcing has changed post pandemic, as compared to pre-pandemic period. This study analyzes the spatiotemporal difference in ridesourcing usage before and after the pandemic, and the differential impacts of built environment factors on ridesourcing usage using real-world trip data in Chicago. Generalized additive mixed models (GAMMs) are applied to analyze the nonlinear built environment effects on ridesourcing usage. Results show average ridesourcing usage in the post-pandemic period failed to recover to pre-pandemic trip volumes by June 2022. There are significant differences in the effects of population density, intersection density, land use mix, population employment balance index, and bus accessibility on ridesourcing pick-up usage between the post-pandemic and pre-pandemic periods. For example, population density had an overall positive effect pre pandemic. However, a significant negative effect was observed in areas with extremely high population density post pandemic. The positive effect of land use mix before the pandemic also turns into a negative effect after the pandemic. It seems that COVID-19 is having long-term effects on ridesourcing usage, at least in Chicago. Relevant policies and tailored land-use interventions should be updated regarding the differentiated built environment effects in the post-pandemic era.</p> |
| first_indexed | 2024-03-07T07:54:22Z |
| format | Journal article |
| id | oxford-uuid:511acb1b-62a8-4b48-b876-07fafd1bb3d7 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:54:22Z |
| publishDate | 2023 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:511acb1b-62a8-4b48-b876-07fafd1bb3d72023-08-14T10:08:42ZDo built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic?Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:511acb1b-62a8-4b48-b876-07fafd1bb3d7EnglishSymplectic ElementsElsevier2023Jin, TCheng, LWang, SCao, JSchwanen, TWitlox, F<p>Ridesourcing has undergone a magnificent development pre pandemic and has had a transformative impact on travel behavior and urban mobility. While an individual's travel behavior has been found to be inevitably influenced by the pandemic, how COVID-19 influences the utilization of ridesourcing has rarely been discussed in previous studies. Understanding how COVID-19 has reshaped people's ridesourcing usage may also be helpful for providing updated policy implications in the post-pandemic era. The objective of this research is to investigate the extent to which the impact of the built environment on the utilization of ridesourcing has changed post pandemic, as compared to pre-pandemic period. This study analyzes the spatiotemporal difference in ridesourcing usage before and after the pandemic, and the differential impacts of built environment factors on ridesourcing usage using real-world trip data in Chicago. Generalized additive mixed models (GAMMs) are applied to analyze the nonlinear built environment effects on ridesourcing usage. Results show average ridesourcing usage in the post-pandemic period failed to recover to pre-pandemic trip volumes by June 2022. There are significant differences in the effects of population density, intersection density, land use mix, population employment balance index, and bus accessibility on ridesourcing pick-up usage between the post-pandemic and pre-pandemic periods. For example, population density had an overall positive effect pre pandemic. However, a significant negative effect was observed in areas with extremely high population density post pandemic. The positive effect of land use mix before the pandemic also turns into a negative effect after the pandemic. It seems that COVID-19 is having long-term effects on ridesourcing usage, at least in Chicago. Relevant policies and tailored land-use interventions should be updated regarding the differentiated built environment effects in the post-pandemic era.</p> |
| spellingShingle | Jin, T Cheng, L Wang, S Cao, J Schwanen, T Witlox, F Do built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic? |
| title | Do built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic? |
| title_full | Do built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic? |
| title_fullStr | Do built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic? |
| title_full_unstemmed | Do built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic? |
| title_short | Do built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic? |
| title_sort | do built environment factors have different effects on ridesourcing usage before and after the covid 19 pandemic |
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