Xingang Zhou , Chenying Yang , Linchuan Yang , Yongping Zhang
{"title":"建筑环境对地铁一体化共享单车和拼车使用的非线性影响","authors":"Xingang Zhou , Chenying Yang , Linchuan Yang , Yongping Zhang","doi":"10.1016/j.trd.2025.104898","DOIUrl":null,"url":null,"abstract":"<div><div>Limited attention has been paid to revealing nonlinear relationships between the built environment and the integration of metro and shared mobility. This study applies the random forest model to examine and compare the nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage. It takes Shanghai as the study area, supported by massive user-generated bikesharing and ridesourcing trips. The results show that the distance to the city center and the number of entrances are the two most significant impact factors, while other built environment factors show varying degrees of influence. Interestingly, secondary and primary road densities play a significant role in predicting the usage of bikesharing and ridesourcing services, respectively. Moreover, nonlinear effects of the built environment have been investigated. For example, when secondary road density is below 5.2 km/km<sup>2</sup>, it has a positive effect on bike-sharing usage. However, this relationship does not hold when the secondary road density exceeds this threshold. This study offer valuable insights for transportation planning and policy-making.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104898"},"PeriodicalIF":7.7000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage\",\"authors\":\"Xingang Zhou , Chenying Yang , Linchuan Yang , Yongping Zhang\",\"doi\":\"10.1016/j.trd.2025.104898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Limited attention has been paid to revealing nonlinear relationships between the built environment and the integration of metro and shared mobility. This study applies the random forest model to examine and compare the nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage. It takes Shanghai as the study area, supported by massive user-generated bikesharing and ridesourcing trips. The results show that the distance to the city center and the number of entrances are the two most significant impact factors, while other built environment factors show varying degrees of influence. Interestingly, secondary and primary road densities play a significant role in predicting the usage of bikesharing and ridesourcing services, respectively. Moreover, nonlinear effects of the built environment have been investigated. For example, when secondary road density is below 5.2 km/km<sup>2</sup>, it has a positive effect on bike-sharing usage. However, this relationship does not hold when the secondary road density exceeds this threshold. This study offer valuable insights for transportation planning and policy-making.</div></div>\",\"PeriodicalId\":23277,\"journal\":{\"name\":\"Transportation Research Part D-transport and Environment\",\"volume\":\"146 \",\"pages\":\"Article 104898\"},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2025-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part D-transport and Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1361920925003086\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925003086","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage
Limited attention has been paid to revealing nonlinear relationships between the built environment and the integration of metro and shared mobility. This study applies the random forest model to examine and compare the nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage. It takes Shanghai as the study area, supported by massive user-generated bikesharing and ridesourcing trips. The results show that the distance to the city center and the number of entrances are the two most significant impact factors, while other built environment factors show varying degrees of influence. Interestingly, secondary and primary road densities play a significant role in predicting the usage of bikesharing and ridesourcing services, respectively. Moreover, nonlinear effects of the built environment have been investigated. For example, when secondary road density is below 5.2 km/km2, it has a positive effect on bike-sharing usage. However, this relationship does not hold when the secondary road density exceeds this threshold. This study offer valuable insights for transportation planning and policy-making.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.