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Auteur Arup Das |
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A multi‐objective framework for analysis of road network vulnerability for relief facility location during flood hazards : A case study of relief location analysis in Bankura District, India / Omprakash Chakraborty in Transactions in GIS, vol 22 n° 5 (October 2018)
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Titre : A multi‐objective framework for analysis of road network vulnerability for relief facility location during flood hazards : A case study of relief location analysis in Bankura District, India Type de document : Article/Communication Auteurs : Omprakash Chakraborty, Auteur ; Arup Das, Auteur ; Arindam Dasgupta, Auteur ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 1064 - 1082 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] Bengale-Occidental (Inde ; état)
[Termes IGN] gestion des risques
[Termes IGN] inondation
[Termes IGN] réseau routier
[Termes IGN] vulnérabilitéRésumé : (Auteur) The location of disaster management facilities is a challenging and multifaceted problem. The road networks, population distribution along the road networks, and disaster risk maps are the major components for management of this problem. This article aims to decide on the location of such facilities for flood hazards in a region. The methodology is based on a multi‐objective framework. Objective functions include edge importance indices under fair weather and elevation parameters of the edges. Multiple scenarios are simulated for varying levels of hazard, and the outputs are analyzed. Analyses are carried out for the individual percentage loss of road links. A case study has been presented for the Bankura District in West Bengal, India. The inferences drawn from the results identify the critical links over the road networks of the region. The study also indicates locations in the region for relief facility setups to enable best‐serving capabilities and provide safe shelters, even in the most adverse flood conditions. The article depicts the vulnerability status of the road networks of the region. Further, it identifies the locations for relief facility provisioning that bring out the best road utilization and the best‐serving capabilities within the flood‐affected area under different flood levels. Numéro de notice : A2018-569 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12314 Date de publication en ligne : 11/10/2018 En ligne : https://doi.org/10.1111/tgis.12314 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92288
in Transactions in GIS > vol 22 n° 5 (October 2018) . - pp 1064 - 1082[article]