Characterizing the adoption and frequency of use of a pooled rides service
Author
dc.contributor.author
Abouelela, Mohamed
Author
dc.contributor.author
Tirachini Hernández, Alejandro
Author
dc.contributor.author
Chaniotakis, Emmanouil
Author
dc.contributor.author
Antoniou, Constantinos
Admission date
dc.date.accessioned
2022-06-09T15:23:12Z
Available date
dc.date.available
2022-06-09T15:23:12Z
Publication date
dc.date.issued
2022
Cita de ítem
dc.identifier.citation
Transportation Research Part C 138 (2022) 103632
es_ES
Identifier
dc.identifier.other
10.1016/j.trc.2022.103632
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/185970
Abstract
dc.description.abstract
Pooled-ride services have a significant potential for reducing traffic externalities and enhancing transportation systems in the urban environment. These services and their users' characteristics still need further inspection and exploration. We investigated factors encouraging the shift from the currently used modes to pooled-ride-services, the choice between different pooled services vehicles types, and the frequency of use of pooled-rides, using data collected via a largescale online survey conducted in Mexico City, Mexico (CDMX) for a start-up that organizes pooled rides, Jetty. We modeled the pooled-ride-service adoption process as a function of the users' sociodemographics, latent travel attitudes, accessibility to public transportation, trip characteristics, reasons to use the service, and users' activities during the trips. We estimated hybrid choice models and binary logit models, which show that users' sociodemographic and travel attitudes are the main factors impacting the shift from different modes to pooled rides. Service-related characteristics such as multi-tasking, trip fare, and avoiding parking problems also impact the shift decision. On the other hand, the frequency of service use is mainly impacted by trip characteristics such as total trip distance, and the headway at the user's home location nearest Metro stations. Income, employment status, number of cars in the household, and gender were the only sociodemographic factors impacting the service use frequency directly and indirectly.
es_ES
Patrocinador
dc.description.sponsorship
Federal Ministry of Education & Research (BMBF)
European Commission 815069
Alexander von Humboldt Foundation
ANID Chile PIA/BASAL AFB180003
es_ES
Lenguage
dc.language.iso
en
es_ES
Publisher
dc.publisher
Elsevier
es_ES
Type of license
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 United States