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Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS / Dogus Guler in Annals of GIS, vol 26 n° 2 (April 2020)  

Public [article]  inAnnals of GIS > vol 26 n° 2 (April 2020) . - pp 169 - 189 Titre : Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS Type de document : Article/Communication Auteurs : Dogus Guler, Auteur ; Tahsin Yomralioglu, Auteur Année de publication : 2020 Article en page(s) : pp 169 - 189 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] analyse multicritère [Termes descripteurs IGN] approche holistique [Termes descripteurs IGN] électricité [Termes descripteurs IGN] outil d'aide à la décision [Termes descripteurs IGN] pondération [Termes descripteurs IGN] processus d'analyse hiérarchisée floue [Termes descripteurs IGN] station [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] véhicule automobile [Termes descripteurs IGN] zone urbaine Résumé : (auteur) Electric vehicles arouse interest since they not only contribute economies of countries in the context of dependency to oil but also support to more livable and sustainable urban areas. The location selection of electric vehicle charging stations is one of the most vital topics in order to enhance the use of electric vehicles. In this sense, the aim of this paper is to propose an approach that integrates Geographic Information System (GIS) techniques and Multi-Criteria Decision Making (MCDM) methods for finding suitable locations of the electric vehicle charging stations. In this regard, the Analytic Hierarchy Process (AHP) and the Fuzzy Analytic Hierarchy Process (FAHP) methods are used to calculate the weights of criteria. While the two different weights for each criterion are obtained by means of AHP in terms of environmental impact and accessibility, another weight for each criterion is obtained as a means of applying the FAHP. The intersection of three different suitability indexes is determined so as to achieve a holistic, credible result. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank the alternative locations. The results show that the proposed approach offers a notable solution to be selected suitable charging station locations. Moreover, policymakers and administrators could benefit from these results in order to make efficient decisions for forward planning and strategies. Numéro de notice : A2020-322 Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475683.2020.1737226 date de publication en ligne : 09/03/2020 En ligne : https://doi.org/10.1080/19475683.2020.1737226 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95189 [article]

A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy / Yan Zhou in Transactions in GIS, Vol 23 n° 5 (October 2019)  

Public [article]  inTransactions in GIS > Vol 23 n° 5 (October 2019) . - pp 1125 - 1151 Titre : A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy Type de document : Article/Communication Auteurs : Yan Zhou, Auteur ; Yanxi Li, Auteur ; Qing Zhu, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 1125 - 1151 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse de groupement [Termes descripteurs IGN] analyse spatio-temporelle [Termes descripteurs IGN] bicyclette [Termes descripteurs IGN] données météorologiques [Termes descripteurs IGN] gestion prévisionnelle [Termes descripteurs IGN] New York (Etats-Unis ; ville) [Termes descripteurs IGN] regroupement de données [Termes descripteurs IGN] SOLAP [Termes descripteurs IGN] trafic routier [Termes descripteurs IGN] Washington D.C. Résumé : (auteur) Bike‐sharing systems have been widely used in major cities across the world. As bike borrowing and return at different stations in different periods are not balanced, the bikes in a bike‐sharing system need to be redistributed frequently to rebalance the system. Therefore, traffic flow forecasting of the bike‐sharing system is an important issue, as this is conducive to achieving rebalancing of the bike system. In this article, we present a new traffic flow prediction approach based on the temporal links in dynamic traffic flow networks. A station clustering algorithm is first introduced to cluster stations into groups. A temporal link prediction method based on the dynamic traffic flow network method (STW+M) is then proposed to predict the traffic flow between stations. In our method, the non‐negative tensor decomposition and time‐series analysis model capture the rich information (temporal variabilities, spatial characteristics, and weather information) of the across‐clusters transition. Then, a temporal link prediction strategy is used to forecast potential links and weights in the traffic flow network by investigating both the network structure and the results of tensor computations. In order to assess the methods proposed in this article, we have used the data of bike‐sharing systems in New York and Washington, DC to conduct bike traffic prediction and the experimental results have shown that our method produces the lowest root mean square error (RMSE) and mean square error (MSE). Compared to four prediction methods from the literature, our RMSE and MSE of the two datasets have been lowered by an average of 2.55 (Washington, DC) and 2.41 (New York) and 3.35 (Washington, DC) and 2.96 (New York), respectively. The results show that the proposed approach improves predictions of traffic flow. Numéro de notice : A2019-551 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12560 date de publication en ligne : 03/07/2019 En ligne : https://doi.org/10.1111/tgis.12560 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94201 [article]

The impact of interactive visualization on trade-off-based geospatial decision-making / Goran Milutinović in International journal of geographical information science IJGIS, vol 33 n° 10 (October 2019)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 33 n° 10 (October 2019) . - pp 2094 - 2123 Titre : The impact of interactive visualization on trade-off-based geospatial decision-making Type de document : Article/Communication Auteurs : Goran Milutinović, Auteur ; Ulla Ahonen-Jonnarth, Auteur ; Stefan Seipel, Auteur Année de publication : 2019 Article en page(s) : pp 2094 - 2123 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] acquisition de données [Termes descripteurs IGN] carte interactive [Termes descripteurs IGN] entretien d'enquête [Termes descripteurs IGN] interactivité [Termes descripteurs IGN] outil d'aide à la décision [Termes descripteurs IGN] retour d'expérience [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] test statistique [Termes descripteurs IGN] visualisation de données [Vedettes matières IGN] Géovisualisation Résumé : (auteur) In a previous work we developed GISwaps, a novel method for geospatial decision-making based on Even Swaps. In this paper, we present the results of an evaluation of a visualization framework integrated with this method, implemented within a decision support system. This evaluation is based on two different studies. In the quantitative study, 15 student participants used GISwaps with no visual features, and 15 participants used GISwaps with the integrated visual framework, as the tool in a solar farm site location case study. The results of the quantitative evaluation show positive impact of the visualization in terms of increased coherency in trade-offs. The results also show a statistically significant difference in average trade-off values between the groups, with users from the non-visual group setting on average 20% higher trade-off values compared with the users in the visual group. In the qualitative study, we had one expert in GIS, two experts in decision-making and two experts in solar energy as a focus user group. Data in this study were obtained by observations and semi-structured interviews with the participants. The impact of the visualization framework was assessed positively by all participants in the expert group. Numéro de notice : A2019-395 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1613547 date de publication en ligne : 10/05/2019 En ligne : https://doi.org/10.1080/13658816.2019.1613547 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93499 [article]

Space, time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data / Zheye Wang in Cartography and Geographic Information Science, Vol 46 n° 4 (July 2019)  

Public [article]  inCartography and Geographic Information Science > Vol 46 n° 4 (July 2019) . - pp 334 - 346 Titre : Space, time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data Type de document : Article/Communication Auteurs : Zheye Wang, Auteur ; Xinyue Ye, Auteur Année de publication : 2019 Article en page(s) : pp 334 - 346 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique [Termes descripteurs IGN] catastrophe naturelle [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] espace-temps [Termes descripteurs IGN] gestion de crise [Termes descripteurs IGN] modèle de Markov [Termes descripteurs IGN] modélisation 3D [Termes descripteurs IGN] New York (Etats-Unis ; ville) [Termes descripteurs IGN] outil d'aide à la décision [Termes descripteurs IGN] réseau social [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] tempête Résumé : (Auteur) Various methods have been developed to investigate the geospatial information, temporal component, and message content in disaster-related social media data to enrich human-centric information for situational awareness. However, few studies have simultaneously analyzed these three dimensions (i.e. space, time, and content). With an attempt to bring a space–time perspective into situational awareness, this study develops a novel approach to integrate space, time, and content dimensions in social media data and enable a space–time analysis of detailed social responses to a natural disaster. Using Markov transition probability matrix and location quotient, we analyzed the Hurricane Sandy tweets in New York City and explored how people’s conversational topics changed across space and over time. Our approach offers potential to facilitate efficient policy/decision-making and rapid response in mitigations of damages caused by natural disasters. Numéro de notice : A2019-201 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2018.1483740 date de publication en ligne : 18/06/2018 En ligne : https://doi.org/10.1080/15230406.2018.1483740 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92657 [article]

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Exploring multiplexing tools for co-visualization in crisis units / Christelle Pierkot (2019)    

Public Titre : Exploring multiplexing tools for co-visualization in crisis units Type de document : Article/Communication Auteurs : Christelle Pierkot, Auteur ; Sidonie Christophe , Auteur ; Jean-François Girres , Auteur Congrès : ISCRAM 2019, 16th International Conference on Information Systems for Crisis Response and Management (19 - 22 mai 2019; Valencia, Espagne) , Commanditaire Editeur : ISCRAM proceedings Année de publication : 2019 Projets : MapMuxing / Touya, Guillaume Importance : pp 403 - 420 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] analyse visuelle [Termes descripteurs IGN] Caraïbes [Termes descripteurs IGN] données hétérogènes [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] données météorologiques [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] gestion de crise [Termes descripteurs IGN] multiplexage [Termes descripteurs IGN] outil d'aide à la décision [Termes descripteurs IGN] planification [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] secours d'urgence [Termes descripteurs IGN] tsunami [Termes descripteurs IGN] visualisation de données [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Natural hazards can generate damages in large inhabited areas in a very short time period. Crisis managers must plan interventions very quickly to facilitate the arrival of the first emergency. In a crisis unit, experts visualize heterogeneous visual representations of spatio-temporal information, in order to facilitate decision-making, based on various types of screens, i.e. laptops, tablets, or wall screens. Visualizing all this information at the same time on the same interface would lead to cognitive overload. In this paper, we assume that it could be of interest to provide innovative co-visualization models and tools, to bring hazard, geospatial and climate information together, in a shared interface. We propose to explore spatial and temporal multiplexing tools within a dedicated geovisualization environment, in order to help expert decision-making. The proposition is implemented with the case study of a tsunami event in the Caribbean sea. Numéro de notice : C2019-039 Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://idl.iscram.org/files/christellepierkot/2019/1871_ChristellePierkot_etal20 [...] Format de la ressource électronique : URL proceedings Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95357

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