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Auteur Shlomo Bekhor |
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Modular multi-dimensional tool for emergency evacuation including location-based social network data / Ilil Blum Shem-Tov in Journal of location-based services, vol 16 n° 1 (March 2022)
[article]
Titre : Modular multi-dimensional tool for emergency evacuation including location-based social network data Type de document : Article/Communication Auteurs : Ilil Blum Shem-Tov, Auteur ; Shlomo Bekhor, Auteur Année de publication : 2022 Article en page(s) : pp 54 - 75 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] distribution spatiale
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] origine - destination
[Termes IGN] réseau social géodépendant
[Termes IGN] secours d'urgence
[Termes IGN] téléphone intelligentRésumé : (auteur) This paper presents the concept of a modular multi-dimensional tool (MMDT) for evacuation planning models. The goal of MMDT is to propose alternative route and destination locations that can be evaluated and compared to one another. The proposed tool can represent a very large number of scenarios and its strength is in its modularity and efficiency. The MMDT can be applied using both conventional evacuation models and decentralised personalised evacuation models based on Location-Based Social Networks (LBSN) to reduce overall evacuation times. Large-scale test cases using anonymous LBSN data illustrate the MMDT on several scenarios. Results indicate a significant reduction in evacuation times when using decentralised personal evacuation. Numéro de notice : A2022-389 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/17489725.2021.1990422 Date de publication en ligne : 16/11/2021 En ligne : https://doi.org/10.1080/17489725.2021.1990422 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100679
in Journal of location-based services > vol 16 n° 1 (March 2022) . - pp 54 - 75[article]Evolution of clusters in dynamic point patterns: with a case study of ants' simulation / Maxim Shoshany in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)
[article]
Titre : Evolution of clusters in dynamic point patterns: with a case study of ants' simulation Type de document : Article/Communication Auteurs : Maxim Shoshany, Auteur ; A. Even-Paz, Auteur ; Shlomo Bekhor, Auteur Année de publication : 2007 Article en page(s) : pp 777 - 797 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] Insecta
[Termes IGN] programmation linéaire
[Termes IGN] regroupement de points
[Termes IGN] SIG dynamique
[Termes IGN] simulationRésumé : (Auteur) Recent developments in sensing and tracking technologies have enabled large geographical databases to be established that represent spatial dynamics of 'behavioral entities'. Within this type of dynamics there are several levels and modes of organization that need to be revealed. Clusters are high-level groupings of entities, where change in their location and form, including split and merge events, represents self-organization and functioning patterns. Such information may contribute for better understanding spatially complex dynamic patterns. The main objective of this article is to develop an adaptable methodology that facilitates exploration of spatial order and processes in point pattern dynamics. The approach presented here utilizes data-clustering at each snapshot of the moving pattern, and then involves pairwise linking between the clusters identified at each snapshot and those identified in the following snapshot. Such linking is based on a new methodology that defines well globally optimized solutions for numerous possible linking combinations based on Linear Programming. A preliminary assessment of the approach was conducted with an existing Ants' simulation tool, capable of creating data sets covering in detail a substantial portion of the nest's life cycle. Copyright Taylor & Francis Numéro de notice : A2007-271 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810601169881 En ligne : https://doi.org/10.1080/13658810601169881 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28634
in International journal of geographical information science IJGIS > vol 21 n° 6-7 (july 2007) . - pp 777 - 797[article]Exemplaires(2)
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