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dc.contributor.authorSánchez Aparicio, María 
dc.contributor.authorMartín Jiménez, José Antonio 
dc.contributor.authorGonzález González, Enrique 
dc.contributor.authorLagüela López, Susana 
dc.date.accessioned2026-04-07T07:02:51Z
dc.date.available2026-04-07T07:02:51Z
dc.date.issued2023-06-29
dc.identifier.urihttp://hdl.handle.net/10366/170831
dc.description.abstract[EN] The orography of the terrain is a key factor for the electrification of vehicles, especially regarding public transport and electric buses. This work deals with the analysis of the use of mobile laser scanning, both terrestrial and aerial, for the evaluation of the orography of urban areas. First, the minimum point density required is evaluated to estimate the slope. The results show that point densities of 1 point/m2, measured with aerial laser scanning, are adequate for the task. Based on this, the design of a route for public transport is presented including the requirements concerning key transit points, maximum slope, and others. Based on the proposed route design, the transformation to an electrified route is analyzed from an economic and environmental point of view. The results show that the implementation of electric buses vs. diesel buses in cities with steep slopes (up to 7%) reduces greenhouse gas emissions (32.59%) as well as economic costs (18.10%).es_ES
dc.description.sponsorshipIBERDROLA SAU European Union through Fondo Social Europeo European Union’s Horizon 2020 research and innovation programme NextGenerationEU programmees_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.subjectLaser scanninges_ES
dc.subjectMobile mappinges_ES
dc.subjectAerial scanninges_ES
dc.subjectElectric buses_ES
dc.subjectUrban transportationes_ES
dc.titleLaser Scanning for Terrain Analysis and Route Design for Electrified Public Transport in Urban Areases_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.3390/rs15133325
dc.relation.projectID2020/00071/001es_ES
dc.relation.projectIDEDU/601/2020es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101021714/EUes_ES
dc.relation.projectIDCPP2021-008863es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn2072-4292
dc.journal.titleRemote Sensinges_ES
dc.volume.number15es_ES
dc.issue.number13es_ES
dc.page.initial3325es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 Internacional