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dc.contributor.authorOña López, Juan José De 
dc.contributor.authorEstévez, Esperanza
dc.contributor.authorOña López, Rocío de 
dc.date.accessioned2021-10-19T06:58:14Z
dc.date.available2021-10-19T06:58:14Z
dc.date.issued2021-08-19
dc.identifier.citationJuan de Oña, Esperanza Estévez, Rocío de Oña, How does private vehicle users perceive the public transport service quality in large metropolitan areas? A European comparison, Transport Policy, Volume 112, 2021, Pages 173-188, ISSN 0967-070X, [https://doi.org/10.1016/j.tranpol.2021.08.005]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/70961
dc.descriptionSupport from Spanish Ministry of Economy and Competitiveness (Research Project TRA2015-66235-R) is gratefully acknowledged. Funding for open access charge: Universidad de Granada/CBUAes_ES
dc.description.abstractMost studies on public transport service quality focus on the perspective of the public transport user, overlooking potential users, that is, private vehicle users. This paper explores the perception of private vehicle users about the quality of public transport. The objective is to identify the attributes that bear the greatest influence on the general satisfaction of the private vehicle user with respect to public transport in five major European cities: Berlin, Lisbon, London, Madrid and Rome. The analysis estimates the effect of 14 quality of service attributes on general satisfaction using Ordinal Logit Models (OLM), using data from an online survey sent to private vehicle users, with a similar sample size for each city (N > 500 per city). To analyse the heterogeneity of the perceptions, 20 models were calibrated: 15 models were calibrated controlling for location; and five models (one per city) were calibrated controlling for sociodemographic and mobility characteristics. Frequency, punctuality, intermodality, cost and cleanliness were identified as attributes exerting a significant effect on satisfaction in practically all the models, meaning they could be considered core attributes for private vehicle users. On a second level, a group of attributes were significant in a substantial number of models (service hours, proximity, speed, temperature and safety). Finally, the remaining attributes were only significant for specific cities or segments. The last two groups of attributes allowed to detect differences between cities and market segments.es_ES
dc.description.sponsorshipSpanish Ministry of Economy and Competitiveness TRA2015-66235-Res_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectService qualityes_ES
dc.subjectSatisfactiones_ES
dc.subjectPrivate transport userses_ES
dc.subjectCar userses_ES
dc.subjectOrdered logites_ES
dc.subjectMarket segmentses_ES
dc.subjectEuropean citieses_ES
dc.titleHow does private vehicle users perceive the public transport service quality in large metropolitan areas? A European comparisones_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.tranpol.2021.08.005
dc.type.hasVersionVoRes_ES


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