Rodyti trumpą aprašą

dc.contributor.authorNigro, Marialisa
dc.contributor.authorPetrelli, Marco
dc.contributor.authorUšpalytė-Vitkūnienė, Rasa
dc.contributor.authorŽilionienė, Daiva
dc.date.accessioned2023-09-18T17:11:51Z
dc.date.available2023-09-18T17:11:51Z
dc.date.issued2018
dc.identifier.issn1822-427X
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/120403
dc.description.abstractWalkability analysis has grown in popularity in recent years: several studies have analysed the public health, economic, environmental, transportation and other benefits of promoting walkability. Different authors in the literature focus on the analysis of walking indicators related to the structure of the road network to explain the walkability of an area. However, extra efforts have to be made to study many other conditions that affect the propensity to walk: not just the shape of the network and the urban topology, but also the security and the attractiveness of the landscape, or specific characteristics of the infrastructure such as the size of the sidewalks, the automobile accommodation values (automobile and motorcycle parking) and the pedestrian route difficulty (slope and over length of the paths, dead-end streets). This paper aims to understand the walkability propensity, investigating explanatory variables related to the concept of the pedestrian path quality at the microscopic level. Several data have been collected in different zones of the Rome City (Italy), utterly dissimilar from the pedestrian point of view. These data have been compared with the real path for pedestrian choices and with other standard walkability measures from literature.eng
dc.formatPDF
dc.format.extentp. 139-145
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyComputers & Applied Sciences Complete
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyVINITI
dc.relation.isreferencedbyScopus
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://doi.org/10.7250/bjrbe.2018-13.408
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:29326011/datastreams/MAIN/content
dc.subjectTD03 - Transporto sistemų ir eismo modeliavimas, optimizavimas, sauga ir valdymas / Transport systems and traffic modeling, optimization, safety and management
dc.titleUnderstanding the walkability propensity
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dcterms.references17
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionRoma Tre University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 003 - Transporto inžinerija / Transport engineering
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enPedestrian path choice
dc.subject.enQuality measures
dc.subject.enWalkability
dc.subject.enWalkability measures
dcterms.sourcetitleThe Baltic Journal of Road and Bridge Engineering
dc.description.issueiss. 2
dc.description.volumeVol. 13
dc.publisher.nameRTU Press
dc.publisher.cityRiga
dc.identifier.doi000437397000007
dc.identifier.doi2-s2.0-85051114555
dc.identifier.doi10.7250/bjrbe.2018-13.408
dc.identifier.elaba29326011


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