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dc.contributor.authorPérez del Hoyo, Raquel
dc.contributor.authorGarcía Mayor, C.
dc.contributor.authorMora Mora, H.
dc.contributor.authorGilart Iglesias, Virgilio
dc.contributor.authorAndújar Montoya, María Dolores
dc.date.accessioned2026-07-01T07:50:07Z
dc.date.available2026-07-01T07:50:07Z
dc.date.issued2017
dc.identifier.citationPérez del Hoyo, R., García Mayor, C., Mora Mora, H., Gilart Iglesias, V., y Andújar Montoya, M. D. (2017). Improving urban accessibility: A methodology for urban dynamics analysis in smart, sustainable and inclusive cities. International Journal of Sustainable Development and Planning, 12(3), 357-367. https://doi.org/10.2495/SDP-V12-N3-357-367es
dc.identifier.issn1743-7601
dc.identifier.urihttp://hdl.handle.net/20.500.12251/4978
dc.description.abstractDespite the improvisations of current urban accessibility regulations and their application in urban systems, it is a fact that our cities are not accessible. Both, the assessment of the effectiveness of urban accessibility and its maintenance over time are issues that require a more consistent approach. In order to address these aspects, it is necessary to have an accurate awareness of the existing condition of urban accessibility. Therefore, the way this information is transformed into specific data, which must be collected, stored and assessed, is one of the main challenges that smart cities face. This research helps implement an integrated system for urban accessibility analysis, combining the latest advances in the Information and Communication Technologies, such as RF & GPS positioning, smart sensing and cloud computing. The main goal of this research is to develop a reliable and effective method to assess public space accessibility with special focus on people with disabilities, by eliciting from users personal experiences. Consequently, the data obtained will enable a better design for improving pedestrian mobility. As a result, a computational architecture for urban dynamics analysis has been designed. Finally, technology and data processing have been validated as an effective system for data collection, and, as a first approach to users' real experience, it has been proposed to have a testing scenario at the University of Alicante,. © 2017 WIT Press.es
dc.language.isoenges
dc.publisherWITPresses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleImproving urban accessibility: A methodology for urban dynamics analysis in smart, sustainable and inclusive citieses
dc.typearticle
dc.identifier.doi10.2495/SDP-V12-N3-357-367
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85008502025&doi=10.2495%2fSDP-V12-N3-357-367&partnerID=40&md5=2187169bf82a1f57000ad84791750ae5
dc.issue.number3es
dc.journal.titleInternational Journal of Sustainable Development and Planninges
dc.page.initial357es
dc.page.final367es
dc.rights.accessRightsopenAccesses
dc.subject.keywordSostenibilidades
dc.subject.keywordUrbanismoes
dc.subject.keywordPlanificación urbanísticaes
dc.subject.keywordSmart Citieses
dc.subject.keywordAccesibilidades
dc.subject.keywordAccesibilidad universales
dc.subject.keywordSmart Citieses
dc.subject.keywordSensorizaciónes
dc.subject.unesco3305.37 Planificación Urbanaes
dc.subject.unesco3308 Ingeniería y Tecnología del Medio Ambientees
dc.subject.unesco5802 Organización y Planificación de la Educaciónes
dc.subject.unesco3305.37 Planificación Urbanaes
dc.subject.unesco1203.17 Informáticaes
dc.volume.number12


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