Maha Ahmad , Hossain Mohiuddin , Kailai Wang , Andrea Broaddus , Mike Fortier , Giovanni Circella
{"title":"E-scooters and public transit: unveiling the conditions for a connection using trip and survey data","authors":"Maha Ahmad , Hossain Mohiuddin , Kailai Wang , Andrea Broaddus , Mike Fortier , Giovanni Circella","doi":"10.1016/j.tbs.2025.101090","DOIUrl":null,"url":null,"abstract":"<div><div>Shared e-scooters have become a popular alternative for short trips and can serve as a first- and last-mile connector to transit. This study investigates the factors motivating e-scooter users to connect to public transit through the analysis of 48,301 e-scooter trips in 20 US cities. While most e-scooter studies, to date, rely on geo-spatial assumptions to assess whether a transit connection was made, this study uses rider survey data where users reported transit connections upon ending their e-scooter trip. Presented during the parking process, the rider survey asked when the decision to use the e-scooter was made. Responses were analyzed using a binary logit model on the decision to use e-scooters in connection to transit. The model includes urban and built environment characteristics to control for heterogeneity across urban spaces. People who decide to use an e-scooter spontaneously are found to be more likely to connect to transit than those who plan their trip in advance. This research provides novel insights into modal substitution, demonstrating how an e-scooter trip may substitute for just a portion of a transit trip rather than the full trip. Respondents were segmented into four groups based on their propensity for connecting with public transit: complements (20.5%), substitutes (3.2%), no interaction (72.9%), and mixed effects (3.3%). Trips that substituted for transit averaged 1.82 miles, a statistically significant longer distance than those complementing transit trips or that had no transit interaction. We conclude that these trips may otherwise have been made by rideshare, and previous assessments have overestimated the modal substitution of e-scooters for transit. Among the 6.5% of trips for which respondents say they would have used transit if e-scooters were not available, approximately half connected to transit before/after using the e-scooter, suggesting a more nuanced adjustment in how e-scooters complement the use of transit.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"41 ","pages":"Article 101090"},"PeriodicalIF":5.7000,"publicationDate":"2025-07-05","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/S2214367X25001085","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 e-scooters have become a popular alternative for short trips and can serve as a first- and last-mile connector to transit. This study investigates the factors motivating e-scooter users to connect to public transit through the analysis of 48,301 e-scooter trips in 20 US cities. While most e-scooter studies, to date, rely on geo-spatial assumptions to assess whether a transit connection was made, this study uses rider survey data where users reported transit connections upon ending their e-scooter trip. Presented during the parking process, the rider survey asked when the decision to use the e-scooter was made. Responses were analyzed using a binary logit model on the decision to use e-scooters in connection to transit. The model includes urban and built environment characteristics to control for heterogeneity across urban spaces. People who decide to use an e-scooter spontaneously are found to be more likely to connect to transit than those who plan their trip in advance. This research provides novel insights into modal substitution, demonstrating how an e-scooter trip may substitute for just a portion of a transit trip rather than the full trip. Respondents were segmented into four groups based on their propensity for connecting with public transit: complements (20.5%), substitutes (3.2%), no interaction (72.9%), and mixed effects (3.3%). Trips that substituted for transit averaged 1.82 miles, a statistically significant longer distance than those complementing transit trips or that had no transit interaction. We conclude that these trips may otherwise have been made by rideshare, and previous assessments have overestimated the modal substitution of e-scooters for transit. Among the 6.5% of trips for which respondents say they would have used transit if e-scooters were not available, approximately half connected to transit before/after using the e-scooter, suggesting a more nuanced adjustment in how e-scooters complement the use of transit.
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.