Chunqin Zhang , Han Liu , Dini Pan , Liqun Zheng , Martin Skitmore , Paul Xia (Bo) , Yong Liu , Wenbin Yao , Guangnian Xiao
{"title":"网约车与地铁竞争合作关系建模与应用","authors":"Chunqin Zhang , Han Liu , Dini Pan , Liqun Zheng , Martin Skitmore , Paul Xia (Bo) , Yong Liu , Wenbin Yao , Guangnian Xiao","doi":"10.1016/j.cities.2025.106230","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid growth of online ride-hailing (ORH) has sparked an ongoing academic debate about whether it replaces or complements public transit. This study contributes to this debate by examining the relationship between ORH and subway systems through the analysis of 880,000 ORH trajectory data provided by China's Didi Chuxing platform. By investigating the spatial relationship between ORH origin-destination (OD) points and subway stations, ORH trips are categorized into three modes: Subway-Competitive Trips (SCT), Subway-Extending Trips (SET), and Subway-Unserved Trips (SUT). The impact mechanisms of the built environment on these three modes and their spatial effects are then explored using a multiscale geographically weighted regression analysis. The findings reveal significant spatial heterogeneity in the relationships between the SUT, SCT, and SET modes and the built environment. Factors such as shopping services, scenic attractions, and bus stop density positively influence ORH trip volumes. Additionally, the SUT mode is more strongly impacted by residential and healthcare services, whereas the SCT mode is also influenced by accommodation services, leisure, entertainment, and corporate establishments. Accommodation services and corporate establishments have a strong influence on the SET mode as well. Moreover, the study suggests that ORH services tend to complement subways rather than directly compete with them.</div></div>","PeriodicalId":48405,"journal":{"name":"Cities","volume":"166 ","pages":"Article 106230"},"PeriodicalIF":6.6000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and application of the competition and cooperation relationship between online ride-hailing and subways\",\"authors\":\"Chunqin Zhang , Han Liu , Dini Pan , Liqun Zheng , Martin Skitmore , Paul Xia (Bo) , Yong Liu , Wenbin Yao , Guangnian Xiao\",\"doi\":\"10.1016/j.cities.2025.106230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The rapid growth of online ride-hailing (ORH) has sparked an ongoing academic debate about whether it replaces or complements public transit. This study contributes to this debate by examining the relationship between ORH and subway systems through the analysis of 880,000 ORH trajectory data provided by China's Didi Chuxing platform. By investigating the spatial relationship between ORH origin-destination (OD) points and subway stations, ORH trips are categorized into three modes: Subway-Competitive Trips (SCT), Subway-Extending Trips (SET), and Subway-Unserved Trips (SUT). The impact mechanisms of the built environment on these three modes and their spatial effects are then explored using a multiscale geographically weighted regression analysis. The findings reveal significant spatial heterogeneity in the relationships between the SUT, SCT, and SET modes and the built environment. Factors such as shopping services, scenic attractions, and bus stop density positively influence ORH trip volumes. Additionally, the SUT mode is more strongly impacted by residential and healthcare services, whereas the SCT mode is also influenced by accommodation services, leisure, entertainment, and corporate establishments. Accommodation services and corporate establishments have a strong influence on the SET mode as well. Moreover, the study suggests that ORH services tend to complement subways rather than directly compete with them.</div></div>\",\"PeriodicalId\":48405,\"journal\":{\"name\":\"Cities\",\"volume\":\"166 \",\"pages\":\"Article 106230\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2025-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cities\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0264275125005311\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"URBAN STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cities","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264275125005311","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"URBAN STUDIES","Score":null,"Total":0}
Modeling and application of the competition and cooperation relationship between online ride-hailing and subways
The rapid growth of online ride-hailing (ORH) has sparked an ongoing academic debate about whether it replaces or complements public transit. This study contributes to this debate by examining the relationship between ORH and subway systems through the analysis of 880,000 ORH trajectory data provided by China's Didi Chuxing platform. By investigating the spatial relationship between ORH origin-destination (OD) points and subway stations, ORH trips are categorized into three modes: Subway-Competitive Trips (SCT), Subway-Extending Trips (SET), and Subway-Unserved Trips (SUT). The impact mechanisms of the built environment on these three modes and their spatial effects are then explored using a multiscale geographically weighted regression analysis. The findings reveal significant spatial heterogeneity in the relationships between the SUT, SCT, and SET modes and the built environment. Factors such as shopping services, scenic attractions, and bus stop density positively influence ORH trip volumes. Additionally, the SUT mode is more strongly impacted by residential and healthcare services, whereas the SCT mode is also influenced by accommodation services, leisure, entertainment, and corporate establishments. Accommodation services and corporate establishments have a strong influence on the SET mode as well. Moreover, the study suggests that ORH services tend to complement subways rather than directly compete with them.
期刊介绍:
Cities offers a comprehensive range of articles on all aspects of urban policy. It provides an international and interdisciplinary platform for the exchange of ideas and information between urban planners and policy makers from national and local government, non-government organizations, academia and consultancy. The primary aims of the journal are to analyse and assess past and present urban development and management as a reflection of effective, ineffective and non-existent planning policies; and the promotion of the implementation of appropriate urban policies in both the developed and the developing world.