Show simple item record

FieldValueLanguage
dc.contributor.authorBasnak, Paul
dc.contributor.authorGiesen, Ricardo
dc.date.accessioned2024-01-24T06:15:16Z
dc.date.available2024-01-24T06:15:16Z
dc.date.issued2023en_AU
dc.identifier.urihttps://hdl.handle.net/2123/32121
dc.description.abstractMany public transport services receive operating subsidies from national, regional, or local Governments, part of which are directed to reducing fares. In recent years, different cities, most of them located in Europe, have advanced in the provision of free-fare public transport, which could help reduce car use and thus limit negative externalities related to its use. Using cost minimization models with variable mode share, in a circular structure with radial lines, optimal fares for bus services were estimated for 33 small and medium-sized cities in Chile. Through a linear regression model, we determined that the optimal fares decrease for cities with higher population, lower average income, a higher proportion of students, and with a CBD surrounded by natural boundaries such as seacoast. Based on the model’s results, together with feasibility criteria that included competition of buses with other transportation modes, the regulation of existing systems and the quality of available data, recommendations are provided to select the best cities for a test of free-fare public transport in Chile. The methodology is applicable to cities in other countries, and future research may incorporate the effect of the valuation of crowding by users, as well as the generation of additional trips due to a drop in bus fares.en_AU
dc.language.isoenen_AU
dc.publisherElsevier B.Ven_AU
dc.relation.ispartofResearch in Transportation Economicsen_AU
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0en_AU
dc.subjectPublic transporten_AU
dc.subjectFree-fareen_AU
dc.subjectOptimization modelsen_AU
dc.subjectSmall citiesen_AU
dc.subjectLinear regressionen_AU
dc.titleAssessing free-fare public transport in Chilean cities through optimization modelsen_AU
dc.typeConference paperen_AU
dc.subject.asrcANZSRC FoR code::35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES::3509 Transportation, logistics and supply chainsen_AU
dc.identifier.doihttps://doi.org/10.1016/j.retrec.2023.101277
dc.type.pubtypePublisher's versionen_AU
usyd.facultySeS faculties schools::The University of Sydney Business Schoolen_AU
usyd.departmentInstitute of Transport and Logistics Studiesen_AU
workflow.metadata.onlyNoen_AU


Show simple item record

Associated file/s

Associated collections

Show simple item record

There are no previous versions of the item available.