Estimation of Transfer Time from Multimodal Transit Services in the Paris Region
Biao Yin () and
Fabien Leurent ()
Additional contact information
Biao Yin: LVMT - Laboratoire Ville, Mobilité, Transport - ENPC - École nationale des ponts et chaussées - Université Gustave Eiffel
Fabien Leurent: CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique
Post-Print from HAL
Abstract:
A reliable public transport system is beneficial for people traveling in the metropolitan area. Transfer time in multimodal transit networks has been highlighted as one of the measures of public transport service quality. In this paper, we propose a novel method to estimate the passengers' transfer time between the transit modes (i.e., train, metro, and bus) based on the 2018 Household Travel Survey in the Paris region, France. The transit trips with a single transit leg are primarily studied, wherein average wait time and mode speeds are estimated through an integrated linear regression model. Based on these inferences, transfer time is deduced within the trips of multiple transit legs. The decomposition procedure of journey time facilitates the estimation of the time components, and reveals the transfer variability in mode, time, and space. From the results, we find that the transfer to the railway modes, especially to the metro, costs less time on average than the transfer to the bus in the study area. The transfer patterns in the morning and evening peak hours are different regarding the transfer duration and locations. Lastly, the results' reliability, method scalability, and potential applications are discussed in detail.
Keywords: multimodal transit; average wait time; transit speed; transfer time; linear regression model (search for similar items in EconPapers)
Date: 2022-11-01
New Economics Papers: this item is included in nep-dcm, nep-tre and nep-ure
Note: View the original document on HAL open archive server: https://hal.science/hal-03841390v1
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in Future Transportation, 2022, 2 (4), pp.886-901. ⟨10.3390/futuretransp2040049⟩
Downloads: (external link)
https://hal.science/hal-03841390v1/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03841390
DOI: 10.3390/futuretransp2040049
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().