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Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia

We compare responses from an online survey among 700 customers of transportation network companies (TNC) in Boston and Philadelphia to investigate TNC’s impact on vehicle ownership, trip making, and mode choice. We first use a qualitative comparative analysis to examine changes in respondents’ trave...

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Detalles Bibliográficos
Autores principales: Dong, Xiaoxia, Guerra, Erick, Daziano, Ricardo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351222/
https://www.ncbi.nlm.nih.gov/pubmed/34393285
http://dx.doi.org/10.1007/s11116-021-10220-5
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author Dong, Xiaoxia
Guerra, Erick
Daziano, Ricardo A.
author_facet Dong, Xiaoxia
Guerra, Erick
Daziano, Ricardo A.
author_sort Dong, Xiaoxia
collection PubMed
description We compare responses from an online survey among 700 customers of transportation network companies (TNC) in Boston and Philadelphia to investigate TNC’s impact on vehicle ownership, trip making, and mode choice. We first use a qualitative comparative analysis to examine changes in respondents’ travel behavior and vehicle ownership after adopting TNC. We then use a random parameter logit regression analysis to investigate customers’ preferences between transit and TNC based on a choice experiment. We find that in both cities, TNC allows customers, including those who currently do not own a car, to either delay purchasing a car or forgo a car altogether. TNC enables customers across income levels to take trips that they otherwise would not have taken. Meanwhile, TNC substitutes for more than complementing transit. The random parameter logit analysis indicates that when choosing between TNC and transit, individuals in both cities consider waiting time and overall travel time for transit to be more burdensome than those for TNC. Bostonians perceive the time spent walking to and from transit to be less burdensome, and the time spent traveling in vehicle to be more burdensome than do Philadelphians. Differences in built environment, mode share within transit systems, and income likely contribute to respondents’ different values of time between the two cities. Our paper is the first to compare individual trade-off between transit and TNC in two cities with different urban settings and transit services. The findings have implications on transit service planning, station area improvements, parking regulations, and traffic management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11116-021-10220-5.
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spelling pubmed-83512222021-08-09 Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia Dong, Xiaoxia Guerra, Erick Daziano, Ricardo A. Transportation (Amst) Article We compare responses from an online survey among 700 customers of transportation network companies (TNC) in Boston and Philadelphia to investigate TNC’s impact on vehicle ownership, trip making, and mode choice. We first use a qualitative comparative analysis to examine changes in respondents’ travel behavior and vehicle ownership after adopting TNC. We then use a random parameter logit regression analysis to investigate customers’ preferences between transit and TNC based on a choice experiment. We find that in both cities, TNC allows customers, including those who currently do not own a car, to either delay purchasing a car or forgo a car altogether. TNC enables customers across income levels to take trips that they otherwise would not have taken. Meanwhile, TNC substitutes for more than complementing transit. The random parameter logit analysis indicates that when choosing between TNC and transit, individuals in both cities consider waiting time and overall travel time for transit to be more burdensome than those for TNC. Bostonians perceive the time spent walking to and from transit to be less burdensome, and the time spent traveling in vehicle to be more burdensome than do Philadelphians. Differences in built environment, mode share within transit systems, and income likely contribute to respondents’ different values of time between the two cities. Our paper is the first to compare individual trade-off between transit and TNC in two cities with different urban settings and transit services. The findings have implications on transit service planning, station area improvements, parking regulations, and traffic management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11116-021-10220-5. Springer US 2021-08-09 2022 /pmc/articles/PMC8351222/ /pubmed/34393285 http://dx.doi.org/10.1007/s11116-021-10220-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Dong, Xiaoxia
Guerra, Erick
Daziano, Ricardo A.
Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia
title Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia
title_full Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia
title_fullStr Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia
title_full_unstemmed Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia
title_short Impact of TNC on travel behavior and mode choice: a comparative analysis of Boston and Philadelphia
title_sort impact of tnc on travel behavior and mode choice: a comparative analysis of boston and philadelphia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351222/
https://www.ncbi.nlm.nih.gov/pubmed/34393285
http://dx.doi.org/10.1007/s11116-021-10220-5
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