dc.contributor.author | Fancello, Giovanna | |
dc.contributor.author | Tsoukiàs, Alexis | |
dc.date.accessioned | 2021-10-29T12:52:07Z | |
dc.date.available | 2021-10-29T12:52:07Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 0038-0121 | |
dc.identifier.uri | https://basepub.dauphine.psl.eu/handle/123456789/22120 | |
dc.language.iso | en | en |
dc.subject | Policy analytics | |
dc.subject | spatial multi-criteria analysis | |
dc.subject | Capability Approach | |
dc.subject | Multi-attribute Value Theory | |
dc.subject | visitors | |
dc.subject.ddc | 003 | en |
dc.title | Learning urban capabilities from behaviours. A focus on visitors values for urban planning | |
dc.type | Article accepté pour publication ou publié | |
dc.description.abstracten | Evaluating environmental resources such as urban and territorial opportunities means understanding their value. Monetary values are not always suitable to synthesize the opportunity that such resources give to the development of individuals in urban space. We propose a spatial multi-criteria analysis method oriented to analyse values that individuals give to different urban and territorial opportunities within a capability approach framework. We analyse visitors' behaviour in space and we learn their urban capabilities considering the values they give to environmental resources and assets. In order to learn such values we use a multi-attribute value measurement method. Furthermore, we define groups of people with similar values of urban opportunities and with similar relevant urban capabilities. This consents to design more legitimated policies aimed to expand the set of relevant capabilities for a given population target. The method is experimented and illustrated with a case study of urban planning for the city of Alghero. | |
dc.relation.isversionofjnlname | Socio-Economic Planning Sciences | |
dc.relation.isversionofjnlvol | 26 | |
dc.relation.isversionofjnlissue | 8 | |
dc.relation.isversionofjnldate | 2020 | |
dc.relation.isversionofjnlpages | 100969 | |
dc.relation.isversionofdoi | 10.1016/j.seps.2020.100969 10.1681/ASN.2014050423 | |
dc.relation.isversionofjnlpublisher | Elsevier | |
dc.subject.ddclabel | Recherche opérationnelle | en |
dc.relation.forthcoming | non | en |
dc.description.ssrncandidate | non | |
dc.description.halcandidate | non | |
dc.description.readership | recherche | |
dc.description.audience | International | |
dc.relation.Isversionofjnlpeerreviewed | oui | |
dc.date.updated | 2022-12-28T21:26:19Z | |