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GIS-based employment availabilities by mode of transport in Kuwait / S. Alkheder in Applied geomatics, vol 14 n° 1 (March 2022)  

Public [article]  inApplied geomatics > vol 14 n° 1 (March 2022) . - pp 1 - 15 Titre : GIS-based employment availabilities by mode of transport in Kuwait Type de document : Article/Communication Auteurs : S. Alkheder, Auteur ; Waleed Abdullah, Auteur ; Hussain Al Sayegh, Auteur Année de publication : 2022 Article en page(s) : pp 1 - 15 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse spatiale [Termes IGN] données socio-économiques [Termes IGN] établissement d'enseignement [Termes IGN] Koweit [Termes IGN] logement [Termes IGN] réseau de transport [Termes IGN] système d'information géographique [Termes IGN] trafic routier [Termes IGN] transport public [Termes IGN] travail [Termes IGN] véhicule automobile Résumé : (auteur) Public transit (PT) has a positive impact on social and environment development in any society. This paper was carried out to analyze the role of GIS in utilizing destination identification as a way to help accomplish a sustainable landscape. The work focused on enhancing work availability considering the transport network. Areas with a higher offer of zero-vehicle lodging units have a better employment availability by travel. Furthermore, areas with a higher offer of single-parent families are at a disadvantage in general occupation openness. In this paper, GIS-based employment availabilities by walking, transit, and automobile were processed for the metropolitan territory. The same was done for work availability among neighboring square gatherings, while regulating built-environment and socio-economic variables. Understanding public travel openness is imperative for encouraging mode movements to reduce auto dependence and is fundamental for the prosperity of non-car households. Also, it is important to know the distribution of facilities such as schools, universities, malls, and other socio-economic places, which helps in rearranging these places in a better way to have effective transit and to reduce road traffic. The accessibility analysis is done through three steps: identifying the spatial distribution in the area, creating buffers around each alternative, and calculating the total number of population and services served by the network. The overall results of this study show that the proposed network will cover more than 50% of school places and workplaces in the area. It will also serve about 840,000 inhabitants, which is 34% of the total population. The previous results make the network accessible to a large number of the area’s residents and will connect them with the main attraction points in the city. Numéro de notice : A2022-215 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s12518-021-00406-y Date de publication en ligne : 18/10/2021 En ligne : https://doi.org/10.1007/s12518-021-00406-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100085 [article]

Genetic algorithms for the calibration of cellular automata urban growth modeling / J. Shan in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 10 (October 2008) . - pp 1267 - 1277 Titre : Genetic algorithms for the calibration of cellular automata urban growth modeling Type de document : Article/Communication Auteurs : J. Shan, Auteur ; S. Alkheder, Auteur ; Jing Wang, Auteur Année de publication : 2008 Article en page(s) : pp 1267 - 1277 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] automate cellulaire [Termes IGN] classification par algorithme génétique [Termes IGN] croissance urbaine Résumé : (Auteur) This paper discusses the use of genetic algorithms to enhance the efficiency of transition rule calibration in cellular automata urban growth modeling. The cellular automata model is designed as a function of multitemporal satellite imagery and population density. Transition rules in the model identify the required neighborhood urbanization level for a test pixel to develop to urban. Calibration of the model is initially performed by exhaustive search, where the entire solution space is examined to find the best set of rule values. This method is computationally extensive and needs to consider all possible combinations for the transition rules. The rise in the number of variables will exponentially increase the time required for running and calibrating the model. This study introduces genetic algorithms as an effective solution to the calibration problem. It is shown that the genetic algorithms are able to produce modeling results close to the ones obtained from the exhaustive search in a time effective manner. Optimal rule values can be reached within the early generations of genetic algorithms. It is expected that genetic algorithms will significantly benefit urban modeling problems with larger set of input data and bigger solution spaces. Copyright ASPRS Numéro de notice : A2008-376 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.10.1267 En ligne : https://doi.org/10.14358/PERS.74.10.1267 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29369 [article]