dc.contributor.author | Cordera Piñera, Rubén | |
dc.contributor.author | Nogués Linares, Soledad | |
dc.contributor.author | González González, María Esther | |
dc.contributor.author | Moura Berodia, José Luis | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2021-05-12T08:01:23Z | |
dc.date.available | 2021-05-12T08:01:23Z | |
dc.date.issued | 2021-02-02 | |
dc.identifier.issn | 2071-1050 | |
dc.identifier.other | PID2019-110355RB-I00 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10902/21652 | |
dc.description.abstract | ABSTRACT: Autonomous vehicles (AVs) can generate major changes in urban systems due to their ability to use road infrastructures more efficiently and shorten trip times. However, there is great uncertainty about these effects and about whether the use of these vehicles will continue to be private, in continuity with the current paradigm, or whether they will become shared (carsharing/ridesharing). In order to try to shed light on these matters, the use of a scenario-based methodology and the evaluation of the scenarios using a land use?transport interaction model (LUTI model TRANSPACE) is proposed. This model allows simulating the impacts that changes in the transport system can generate on the location of households and companies oriented to local demand and accessibility conditions. The obtained results allow us to state that, if AVs would generate a significant increase in the capacity of urban and interurban road infrastructures, the impacts on mobility and on the location of activities could be positive, with a decrease in the distances traveled, trip times, and no evidence of significant urban sprawl processes. However, if these increases in capacity are accompanied by a large augment in the demand for shared journeys by new users (young, elderly) or empty journeys, the positive effects could disappear. Thus, this scenario would imply an increase in trip times, reduced accessibilities, and longer average distances traveled, all of which could cause the unwanted effect of expelling activities from the consolidated urban center | es_ES |
dc.description.sponsorship | This work is based on two research projects—“InnovAtive Urban and Transport planning tOols for the implemeNtation of new mObility systeMs based On aUtonomouS driving” – AUTONOMOUS, 2020–2023, funded by the Spanish Ministry of Science and Innovation/ERDF (EU)-State Programme for Knowledge Generation and Scientific and Technological Strengthening of the R&D&i System (PID2019-110355RB-I00); and “Autonomous share mobility for tomorrow’s liveable cities” – MOVI-CITY, 2019–2020, resulting from a Call of the University of Cantabria and funded by the Department of Universities and Research, Environment, and Social Policy of the Government of Cantabria (Spain). | es_ES |
dc.format.extent | 16 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Sustainability 2021, 13(4), 1608 | es_ES |
dc.subject.other | Autonomous vehicles | es_ES |
dc.subject.other | Land use | es_ES |
dc.subject.other | LUTI model | es_ES |
dc.subject.other | Accessibility | es_ES |
dc.title | Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.3390/su13041608 | |
dc.type.version | publishedVersion | es_ES |