Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing Ridership
Researchers have applied a series of global models to investigate the link between the built environment and ride-hailing ridership based on ride-hailing data from one specific transportation network company (TNC). However, these research designs inadequately represent real ride-hailing demand withi...
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MDPI AG
2023-12-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/14/1/142 |
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author | Feiyan Zhao Jianxiao Ma Chaoying Yin Wenyun Tang Xiaoquan Wang Jiexiang Yin |
author_facet | Feiyan Zhao Jianxiao Ma Chaoying Yin Wenyun Tang Xiaoquan Wang Jiexiang Yin |
author_sort | Feiyan Zhao |
collection | DOAJ |
description | Researchers have applied a series of global models to investigate the link between the built environment and ride-hailing ridership based on ride-hailing data from one specific transportation network company (TNC). However, these research designs inadequately represent real ride-hailing demand within a specific spatial range and cannot reflect spatiotemporal heterogeneity in the link. For the first time, this study collects all demand data of TNCs in Nanjing and analyzes their relationship with the built environment. The effect of taxi demand is considered. We adopt a multiscale geographically weighted regression model to account for the spatial non-stationarity and the multiscale effect of each built environment variable. The findings reveal spatiotemporal heterogeneous relationships of the built environment with ride-hailing ridership. Although the relationship between taxi and ride-hailing ridership varies across spatial locations, ride-hailing always acts as a cooperator for traditional taxis. The findings provide implications for policy making, urban planning, and travel demand management of ride-hailing. |
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format | Article |
id | doaj.art-c587d43fca924e3c9083c0af76510938 |
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issn | 2076-3417 |
language | English |
last_indexed | 2024-03-08T15:12:43Z |
publishDate | 2023-12-01 |
publisher | MDPI AG |
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series | Applied Sciences |
spelling | doaj.art-c587d43fca924e3c9083c0af765109382024-01-10T14:51:05ZengMDPI AGApplied Sciences2076-34172023-12-0114114210.3390/app14010142Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing RidershipFeiyan Zhao0Jianxiao Ma1Chaoying Yin2Wenyun Tang3Xiaoquan Wang4Jiexiang Yin5College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Civil and Transportation Engineering, Hohai University, Nanjing 210024, ChinaCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaResearchers have applied a series of global models to investigate the link between the built environment and ride-hailing ridership based on ride-hailing data from one specific transportation network company (TNC). However, these research designs inadequately represent real ride-hailing demand within a specific spatial range and cannot reflect spatiotemporal heterogeneity in the link. For the first time, this study collects all demand data of TNCs in Nanjing and analyzes their relationship with the built environment. The effect of taxi demand is considered. We adopt a multiscale geographically weighted regression model to account for the spatial non-stationarity and the multiscale effect of each built environment variable. The findings reveal spatiotemporal heterogeneous relationships of the built environment with ride-hailing ridership. Although the relationship between taxi and ride-hailing ridership varies across spatial locations, ride-hailing always acts as a cooperator for traditional taxis. The findings provide implications for policy making, urban planning, and travel demand management of ride-hailing.https://www.mdpi.com/2076-3417/14/1/142ride-hailingspatiotemporal heterogeneitybuilt environmentmultiscale geographically weighted regressiontaxi ridership |
spellingShingle | Feiyan Zhao Jianxiao Ma Chaoying Yin Wenyun Tang Xiaoquan Wang Jiexiang Yin Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing Ridership Applied Sciences ride-hailing spatiotemporal heterogeneity built environment multiscale geographically weighted regression taxi ridership |
title | Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing Ridership |
title_full | Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing Ridership |
title_fullStr | Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing Ridership |
title_full_unstemmed | Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing Ridership |
title_short | Spatiotemporal Heterogeneous Effects of Built Environment and Taxi Demand on Ride-Hailing Ridership |
title_sort | spatiotemporal heterogeneous effects of built environment and taxi demand on ride hailing ridership |
topic | ride-hailing spatiotemporal heterogeneity built environment multiscale geographically weighted regression taxi ridership |
url | https://www.mdpi.com/2076-3417/14/1/142 |
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