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A multi-factor spatial optimization approach for emergency medical facilities in Beijing / Liang Zhou in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)  

Public [article]  inISPRS International journal of geo-information > vol 9 n° 6 (June 2020) . - 15 p. Titre : A multi-factor spatial optimization approach for emergency medical facilities in Beijing Type de document : Article/Communication Auteurs : Liang Zhou, Auteur ; Shaohua Wang, Auteur ; Zhibang Xu, Auteur Année de publication : 2020 Article en page(s) : 15 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] accessibilité [Termes descripteurs IGN] allocation [Termes descripteurs IGN] implantation (topographie) [Termes descripteurs IGN] mégalopole [Termes descripteurs IGN] modélisation spatio-temporelle [Termes descripteurs IGN] Pékin (Chine) [Termes descripteurs IGN] réseau routier [Termes descripteurs IGN] secours d'urgence [Termes descripteurs IGN] trafic routier [Termes descripteurs IGN] vitesse de déplacement Résumé : (auteur) The outcomes for emergency medical services (EMS) are highly dependent on space-time accessibility. Prior research describes the location of EMS needs with low accuracy and has not integrated a temporal analysis of the road network, which accounts for varying mobility in a dynamic transportation network. In this study, we formulated a network-based location-allocation model (NLAM) and analyzed the spatial characteristics of emergency medical facilities within the fifth ring road in Beijing by considering time, traffic, and population characteristics. The conclusions are as follows: (1) The high demand area for EMS is concentrated in the areas in middle, north, and east during the daytime (8:00–20:00) and in the middle and north during the nighttime (20:00–8:00). From day to night, the centroid of the potential demand distribution shifts in the Western and Southern areas. (2) The road traffic data is sampled 20 times throughout the week, and variations in the average driving speed affect a higher mean driving speed on the weekend. This primarily impacts the main roads, due to these roads experiencing the greatest fluctuation in speed throughout the week of any roadway in the study area. (3) Finally, the 15-min coverage of emergency medical facilities are sampled 20 times in one week and analyzed. Fortunately, there is 100% coverage at night; however, due to traffic congestion, there were a few blind coverage areas in the daytime. The blind area is prevalent in Shijingshan South Station and the Jingxian Bridge in the South fifth ring. Numéro de notice : A2020-313 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9060361 date de publication en ligne : 01/06/2020 En ligne : https://doi.org/10.3390/ijgi9060361 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95167 [article]

Integrating cellular automata and Markov techniques to generate urban development potential surface : a study on Kolkata agglomeration / Biswajit Mondal in Geocarto international, vol 32 n° 4 (April 2017)  

Public [article]  inGeocarto international > vol 32 n° 4 (April 2017) . - pp 401 - 419 Titre : Integrating cellular automata and Markov techniques to generate urban development potential surface : a study on Kolkata agglomeration Type de document : Article/Communication Auteurs : Biswajit Mondal, Auteur ; Dipendra Nath Das, Auteur ; Basudeb Bhatta, Auteur Année de publication : 2017 Article en page(s) : pp 401 - 419 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] allocation [Termes descripteurs IGN] automate cellulaire [Termes descripteurs IGN] Calcutta [Termes descripteurs IGN] chaîne de Markov [Termes descripteurs IGN] croissance urbaine [Termes descripteurs IGN] Inde [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] prospective [Termes descripteurs IGN] répartition géographique [Termes descripteurs IGN] surveillance de l'urbanisation [Termes descripteurs IGN] urbanisation [Termes descripteurs IGN] utilisation du sol Résumé : (Résumé) Uncontrolled, yet fragmented peripheral urban expansion has emerged as a menace to urban development. To cope with this rapid urban expansion process, identification of the forces responsible for this rapid urban expansion is a pre-requisite, especially when its threats to habitability are taken into consideration. This study tries to evaluate fragmented uncontrolled urban expansion faced by Kolkata using cellular automata-Markov chain. Urban growth patterns, land use/land cover transformations and spatial allocation correspondence with planning strategy is the main theme of this study. Depending upon the driving forces, the study result indicates a bi-directional urban development potential surface, which might be a result of the biased planning initiative along with middle-class residential demand. This simulation result provides evidence for the planning authority to evaluate the effectiveness of spatial allocation and urban expansion trends and provide flexibility to modify the current allocation scenario. Numéro de notice : A2017-272 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2016.1155656 date de publication en ligne : 23/03/2016 En ligne : http://doi.org/10.1080/10106049.2016.1155656 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85299 [article]

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Optimal spatial land-use allocation for limited development ecological zones based on the geographic information system and a genetic ant colony algorithm / Nan Mi in International journal of geographical information science IJGIS, vol 29 n° 12 (December 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 12 (December 2015) . - pp 2174 - 2193 Titre : Optimal spatial land-use allocation for limited development ecological zones based on the geographic information system and a genetic ant colony algorithm Type de document : Article/Communication Auteurs : Nan Mi, Auteur ; Jingwei Hou, Auteur ; Wenbao Mi, Auteur ; Naiping Song, Auteur Année de publication : 2015 Article en page(s) : pp 2174 - 2193 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] algorithme génétique [Termes descripteurs IGN] allocation [Termes descripteurs IGN] développement durable [Termes descripteurs IGN] écologie [Termes descripteurs IGN] érosion [Termes descripteurs IGN] optimisation par colonie de fourmis [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] utilisation du sol Résumé : (Auteur) Limited development ecological zones (LDEZs) are often located in poverty-stricken, ecologically vulnerable areas where ethnic minorities reside. Studies on optimal spatial land-use allocation in LDEZs can promote economic and intensive land use, improve soil quality, facilitate local socioeconomic development, and maintain environmental stability. In this study, we optimized spatial land-use allocations in an LDEZ using the geographic information system (GIS) and a genetic ant colony algorithm (GACA). The multi-objective function considers economic benefits and ecological green equivalents, and improves soil erosion. We developed the GACA by integrating a genetic algorithm (GA) with an ant colony algorithm (ACA). This avoids a large number of redundant iterations and the low efficiency of the GA, and the slow convergence speed of the ACA. The study area is located in Pengyang County, Ningxia, China, which is a typical LDEZ. The land-use data were interpreted from remote sensing (RS) images and GIS. We determined the optimal spatial land-use allocations in the LDEZ using the GACA in the GIS environment. We compared the original and optimal spatial schemes in terms of economic benefits, ecological green equivalents, and soil erosion. The results of the GACA were superior to the original allocation, the ACA, and the multi-objective genetic algorithm, in terms of the optimum, time, and robust performance indexes. We also present some suggestions for the reasonable development and protection of LDEZs. Numéro de notice : A2015-622 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1070411 En ligne : https://doi.org/10.1080/13658816.2015.1070411 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78091 [article]

Modelling the spatial allocation of second-generation feedstock (lignocellulosic crops) in Europe / Carolina Perpina Castillo in International journal of geographical information science IJGIS, vol 29 n° 10 (October 2015)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 10 (October 2015) . - pp 1807 - 1825 Titre : Modelling the spatial allocation of second-generation feedstock (lignocellulosic crops) in Europe Type de document : Article/Communication Auteurs : Carolina Perpina Castillo, Auteur ; Carlo Lavalle, Auteur ; Claudia Baranzelli, Auteur ; Sarah Mubareka, Auteur Année de publication : 2015 Article en page(s) : pp 1807 - 1825 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] allocation [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] analyse multicritère [Termes descripteurs IGN] bioénergie [Termes descripteurs IGN] changement d'utilisation du sol [Termes descripteurs IGN] lignocellulose [Termes descripteurs IGN] Union Européenne Résumé : (auteur) This paper presents a modelling approach for the spatial allocation of second-generation feedstock (lignocellulosic crops) under a reference policy scenario in European Union of 28 Member State (EU-28). The land-use modelling platform (LUMP) was used in order to simulate the land-use changes from 2010 to 2050. Within the LUMP, the land demand for these lignocellulosic energy crops was derived from the Common Agricultural Policy Regionalised Impact analysis model. Suitability maps were generated for two main energy crop groups: herbaceous and woody lignocellulosic crops, using multicriteria analysis techniques. Biophysical factors (climate, soil properties and topographical aspects), natural and artificial constraints and location-specific land categories were defined as relevant components within the platform. A sensitivity analysis determined the most influential factors to be temperature, precipitation, length of growing period and number of frost-free days. The results of the modelling exercise in the LUMP reflect the significant renewable energy contribution from energy crops in EU-28, which was estimated to be between 2.3 EJ/year (in 2020) and 6.3 EJ/year (in 2050), accounting for 2.3% and 9.6% of total energy consumption in the EU-28. The results of the allocation were aggregated at regional level to analyse trends. Regions with considerably high demand were identified in Germany, the United Kingdom and Poland. Numéro de notice : A2015-533 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2015.1051486 En ligne : https://doi.org/10.1080/13658816.2015.1051486 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77781 [article]

Modeling ambiguity in census microdata allocations to improve demographic small area estimates / Stefan Leyk in Transactions in GIS, vol 17 n° 3 (June 2013)  

Public [article]  inTransactions in GIS > vol 17 n° 3 (June 2013) . - pp 406 - 425 Titre : Modeling ambiguity in census microdata allocations to improve demographic small area estimates Type de document : Article/Communication Auteurs : Stefan Leyk, Auteur ; Barbara P. Buttenfield, Auteur ; Nicholas N. Nagle, Auteur Année de publication : 2013 Article en page(s) : pp 406 - 425 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] allocation [Termes descripteurs IGN] données démographiques [Termes descripteurs IGN] estimation statistique [Termes descripteurs IGN] recensement démographique [Termes descripteurs IGN] résolution d'ambiguïté [Termes descripteurs IGN] spatial metrics Résumé : (Auteur) This article describes a methodology for allocating demographic microdata to small enumeration areas such as census tracts, in the presence of underlying ambiguities. Maximum Entropy methods impute population weights that are constrained to match a set of census tract-level summary statistics. Once allocated, the household characteristics are summarized to revise estimates of tract-level demographic summary statistics, and to derive measures of ambiguity. The revised summary statistics are compared with original tract summaries within a context of expected variation. Allocation ambiguity is quantified for each household as a function of the distribution of imputed sample weights over all census tracts, and by computed metrics of confusion and variety of allocation to any census tract. The process reported here allows differentiation of households with regard to inherent ambiguity in the allocation decision. Ambiguity assessment represents an important component that has been neglected in spatial allocation work to date but can be seen as important additional knowledge for demographers and users of small area estimates. For the majority of tested variables, the revised tract level summaries correlate highly with original tract summary statistics. In addition to assessments for individual households, it is also possible to compute average allocation ambiguity for individual tracts, and to associate this with demographic characteristics not utilized in the allocation process. Numéro de notice : A2013-291 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01366.x date de publication en ligne : 07/01/2013 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01366.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32429 [article]

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An agent-based model for optimal land allocation (AgentLA) with a contiguity constraint / Y. Chen in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)  

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Optimization of mobile radioactivity monitoring networks / Gerard B.M. Heuvelink in International journal of geographical information science IJGIS, vol 24 n°3-4 (march 2010)  

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Biodiversity value and the optimal location of forest conservation sites in Southern Finland / A. Kallio in Ecological economics, vol 67 n° 2 (15 September 2008)  

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Spatial optimization as a generative technique for sustainable multiobjective land-use allocation / A. Ligmann-Zielinska in International journal of geographical information science IJGIS, vol 22 n° 6-7 (june 2008)

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Weighting function alternatives for a subpixel allocation model / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)

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Operation analysis of a reservoir in GIS environment using remote sensing inputs / M.K. Goel in International Journal of Remote Sensing IJRS, vol 28 n° 1-2 (January 2007)

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Classification of spatial properties for spatial allocation modeling / T. Shirabe in Geoinformatica, vol 9 n° 3 (September - November 2005)

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Scale-independent land-use allocation modeling in raster GIS / R.G. Cromley in Cartography and Geographic Information Science, vol 30 n° 4 (October 2003)

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