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Multi‐temporal transport network models for accessibility studies / Diego Bogado Tomasiello in Transactions in GIS, vol 23 n° 2 (April 2019)  

Public [article]  inTransactions in GIS > vol 23 n° 2 (April 2019) . - pp 203 - 223 Titre : Multi‐temporal transport network models for accessibility studies Type de document : Article/Communication Auteurs : Diego Bogado Tomasiello, Auteur ; Mariana Giannotti, Auteur ; Renato Arbex, Auteur ; Clodoveu Davis, Auteur Année de publication : 2019 Article en page(s) : pp 203 - 223 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] accessibilité [Termes IGN] granularité (informatique) [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] modélisation spatio-temporelle [Termes IGN] réseau de transport [Termes IGN] Sao Paulo [Termes IGN] urbanisme Résumé : (Auteur) Vehicle tracking is a spatio‐temporal source of high‐granularity travel time information that can be used for transportation planning. However, it is still a challenge to combine data from heterogeneous sources into a dynamic transport network, while allowing for network modifications over time. This article uses conceptual modeling to develop multi‐temporal transport networks in geographic information systems (GIS) for accessibility studies. The proposed multi‐temporal network enables accessibility studies with different temporal granularities and from any location inside the city, resulting in a flexible tool for transport and urban planning. The implemented network is tested in two case studies that focus on socially excluded people in a large global city, São Paulo, Brazil, including accessibility analyses from slum areas. It explores variations within a day and differences between transport modes across time. Case study results indicate how the accessibility is heterogeneous in low‐income regions. Numéro de notice : A2019-249 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12513 Date de publication en ligne : 10/03/2019 En ligne : https://doi.org/10.1111/tgis.12513 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93005 [article]