Tanhua Jin , Long Cheng , Kunbo Shi , Jun Cao , Jonas De Vos , Frank Witlox
{"title":"What promotes the integration of metro and ridesourcing? Analysis of first/last mile ridesourcing origin–destination trips","authors":"Tanhua Jin , Long Cheng , Kunbo Shi , Jun Cao , Jonas De Vos , Frank Witlox","doi":"10.1016/j.tbs.2025.100994","DOIUrl":null,"url":null,"abstract":"<div><div>Shared mobility can be regarded as a possible solution for sustainable transportation across the world. The integration between shared mobility and metro systems can relieve severe social and environmental issues. Although studies on integrating metro services and ridesourcing have gradually increased, those focusing on access/egress origin–destination trips are rather limited. Those focusing on access/egress origin–destination trips are rather limited. This study employs XGBoost models to examine the impact of trip distance, as well as the origin and destination factors, on the metro-ridesourcing integrated access/egress trips during weekday morning and evening peak hours using ridesourcing trip record data in Nanjing, China. Most factors have similar effects on metro-ridesourcing integrated usage, regardless of type differences and temporal heterogeneity. For example, all four types of integrated usage are positively associated with the density of bike-sharing services at both metro station sides and Traffic Analysis Zone (TAZ) sides. An interesting finding is that symmetric effects are found regarding the distance of TAZs to the city center, TAZ-side employment density, residence density, and population-to-employment balance index. The association between these factors and morning-peak access usage is similar to that for evening-peak egress usage, and morning-peak egress usage shares similar patterns with evening-peak access usage. Understanding how the influencing factors affect different types of metro-ridesourcing integrated usage can gain refined results and thus provide targeted policies to policymakers and shared mobility operators to further promote multimodal metro use.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"40 ","pages":"Article 100994"},"PeriodicalIF":5.1000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Travel Behaviour and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214367X25000122","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
Shared mobility can be regarded as a possible solution for sustainable transportation across the world. The integration between shared mobility and metro systems can relieve severe social and environmental issues. Although studies on integrating metro services and ridesourcing have gradually increased, those focusing on access/egress origin–destination trips are rather limited. Those focusing on access/egress origin–destination trips are rather limited. This study employs XGBoost models to examine the impact of trip distance, as well as the origin and destination factors, on the metro-ridesourcing integrated access/egress trips during weekday morning and evening peak hours using ridesourcing trip record data in Nanjing, China. Most factors have similar effects on metro-ridesourcing integrated usage, regardless of type differences and temporal heterogeneity. For example, all four types of integrated usage are positively associated with the density of bike-sharing services at both metro station sides and Traffic Analysis Zone (TAZ) sides. An interesting finding is that symmetric effects are found regarding the distance of TAZs to the city center, TAZ-side employment density, residence density, and population-to-employment balance index. The association between these factors and morning-peak access usage is similar to that for evening-peak egress usage, and morning-peak egress usage shares similar patterns with evening-peak access usage. Understanding how the influencing factors affect different types of metro-ridesourcing integrated usage can gain refined results and thus provide targeted policies to policymakers and shared mobility operators to further promote multimodal metro use.
期刊介绍:
Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.