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Spatial Multi-Criteria Analysis for Road Segment Cycling Suitability Assessment

2022-08Journal article Open access
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dc.contributor.authorSantos, Bertha
dc.contributor.authorPassos, Sílvia Valentina González de
dc.contributor.authorGonçalves, Jorge H.G.
dc.contributor.authorMatias, Isabel
dc.date.accessioned2022-12-19T09:54:14Z
dc.date.available2022-12-19T09:54:14Z
dc.date.issued2022-08
dc.description.abstractThe shift to low-emission mobility, embedded in a growing need for sustainable development, makes soft modes a highly promoted transport alternative in national and international mobility policies. Soft mobility modes, especially cycling, is an alternative capable of reversing the trend of private car use in urban areas, being one of the main strategies of Sustainable Urban Mobility Plans (SUMP). Several factors can influence travel mode choice, between them, demographic, economic, land use, travel distance and time, and climatic and physical factors are the most reported in the literature. This study presents a framework of the main European cycling strategies and focuses on the development of a methodological approach to assess the cycling suitability of existing road networks. The approach is based on a spatial multi-criteria analysis that combines population density, trip generation points service areas and road characteristics (hierarchy and slope). Consideration of the topography was particularly relevant in the cycling suitability model definition. The model was tested in the hillside city of Covilhã (Portugal) and compared with the recently planned and implemented city cycling network. The main conclusions point to the adequacy, flexibility, and applicability of the proposed model by municipalities, contributing to a more sustainable urban environment and healthier communities. Results obtained in the Covilhã case study also denote the possibility of implementing cycling mobility in hillside cities, especially using e-bikes. For future works, an expansion of the approach is proposed to include a detailed and sustained cycling network definition model and a process to assess cycling routes hierarchy/solutions.pt_PT
dc.description.sponsorshipThe authors acknowledge University of Beira Interior, Covilhã City Hall, CERIS— Civil Engineering Research and Innovation for Sustainability (ECI/04625), CITTA—Research Centre for Territory, Transports and Environment (Multi/04427) and GEOBIOTEC—GeoBioSciences, GeoTechnologies and GeoEngineering (GEO/04035) for supporting the performed study.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSantos, B.; Passos, S.; Gonçalves, J.; Matias, I. Spatial Multi-Criteria Analysis for Road Segment Cycling Suitability Assessment. Sustainability 2022, 14(16), 9928. https://doi.org/10.3390/su14169928pt_PT
dc.identifier.doi10.3390/su14169928pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/12537
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationCivil Engineering Research and Innovation for Sustainability
dc.relationResearch Centre for Territory, Transports and Environment
dc.relationGeoBioSciences, GeoTechnologies and GeoEngineering
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/14/16/9928pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSustainable urban mobilitypt_PT
dc.subjectSoft mobilitypt_PT
dc.subjectCyclingpt_PT
dc.subjectCycling suitability mapspt_PT
dc.subjectSpatial multi-criteria analysispt_PT
dc.titleSpatial Multi-Criteria Analysis for Road Segment Cycling Suitability Assessmentpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCivil Engineering Research and Innovation for Sustainability
oaire.awardTitleResearch Centre for Territory, Transports and Environment
oaire.awardTitleGeoBioSciences, GeoTechnologies and GeoEngineering
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECI%2F04625%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F04427%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FGEO%2F04035%2F2019/PT
oaire.citation.issue16pt_PT
oaire.citation.startPage9928pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume14pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSantos
person.familyNameGonçalves
person.givenNameBertha
person.givenNameJorge
person.identifier.ciencia-idBE1A-879F-8282
person.identifier.ciencia-idC51C-DF95-FD06
person.identifier.orcid0000-0002-5545-892X
person.identifier.orcid0000-0001-5369-9693
person.identifier.scopus-author-id54880406000
person.identifier.scopus-author-id23485127000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublicationc4134272-0cd3-4709-9b0e-e9356adfe121
relation.isAuthorOfPublication.latestForDiscoveryc4134272-0cd3-4709-9b0e-e9356adfe121
relation.isProjectOfPublication35d46e29-713d-4f9d-b05e-63e0f82e37d0
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