Urban Perception: Can We Understand Why a Street Is Safe?

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dc.contributor.authorMoreno-Vera, Felipe
dc.contributor.authorLavi, Bahram
dc.contributor.authorPoco, Jorge
dc.date.accessioned2022-03-10T22:09:23Z
dc.date.available2022-03-10T22:09:23Z
dc.date.issued2021
dc.description.abstractThe importance of urban perception computing is relatively growing in machine learning, particularly in related areas to Urban Planning and Urban Computing. This field of study focuses on developing systems to analyze and map discriminant characteristics that might direcly impact the city’s perception. In other words, it seeks to identify and extract discriminant components to define the behavior of a city’s perception. This work will perform a street-level analysis to understand safety perception based on the “visual components”. As our result, we present our experimental evaluation regarding the influence and impact of those visual components on the safety criteria and further discuss how to properly choose confidence on safe or unsafe measures concerning the perceptional scores on the city street levels analysis. © 2021, Springer Nature Switzerland AGes_PE
dc.description.uriTrabajo académicoes_PE
dc.identifier.doi10.1007/978-3-030-89817-5_21es_PE
dc.identifier.issn03029743
dc.identifier.urihttps://hdl.handle.net/20.500.12590/17054
dc.language.isoenges_PE
dc.publisherSpringer Science and Business Media Deutschland GmbHes_PE
dc.publisher.countryPEes_PE
dc.relationinfo:eu-repo/semantics/articlees_PE
dc.relation.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85118183415&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=bf6bae9a56b2331387d9f5550bd7ed65&sot=aff&sdt=cl&cluster=scopubyr%2c%222021%22%2ct&sl=48&s=AF-ID%28%22Universidad+Cat%c3%b3lica+San+Pablo%22+60105300%29&relpos=53&citeCnt=0&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1es_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.subjectADE20Kes_PE
dc.subjectCityscapees_PE
dc.subjectComputer visiones_PE
dc.subjectDeep learninges_PE
dc.subjectInterpretabilityes_PE
dc.subjectLIMEes_PE
dc.subjectPerception computinges_PE
dc.subjectPerception learninges_PE
dc.subjectPlace pulsees_PE
dc.subjectSegmentationes_PE
dc.subjectStreet viewes_PE
dc.subjectStreet-level imageryes_PE
dc.subjectUrban computinges_PE
dc.subjectUrban perceptiones_PE
dc.subjectVisual processinges_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.02.01es_PE
dc.titleUrban Perception: Can We Understand Why a Street Is Safe?es_PE
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_PE
renati.typehttps://purl.org/pe-repo/renati/type#trabajoAcademico
thesis.degree.disciplinePsicologíaes_PE
thesis.degree.grantorUniversidad Católica San Pablo. Departamento de Psicologíaes_PE
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