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2018 | OriginalPaper | Chapter

Towards an Intelligent Integrated System for Urban Planning Using GIS and Cloud Computing

Authors : Boudjemaa Khelifa, Mohamed Ridda Laouar, Sean Eom

Published in: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Publisher: Springer International Publishing

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Abstract

During the last few years, urban field has become more and more complex, as much as the growth of new technologies, new problems occurred. Therefore, urban territory planning organizations look ahead to find out sustainable alternatives, to meet human urban needs and to reach a high level of efficiency with the best employment of available resources. This paper proposes an Intelligent Integrated System using Geographic Information System (GIS) and Cloud Computing technology. The projected approach is based on: (i) the expand of the local GIS, by adding required information; (ii) the prediction of urban needs for a local scope, via analyzing GIS information; and (iii) the support of decision-makers so as to fit suggested urban projects to appropriate areas, respecting constraints. This paper includes a new architecture combining the main components of the proposed system.

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previous chapter An Intelligent Multi-agent System Using Fuzzy Analytic Hierarchy Process and Axiomatic Design as a Decision Support Method for Refugee Settlement Siting

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Natural Earth was built NACIS (North American Cartographic Information Society), and is free for use in any type of project, http://www.naturalearthdata.com/.

Environmental Systems Research Institute, http://www.esri.com/.

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Interactive Maps, GIS datasets, Satellite Imagery and Related Applications, http://www.fao.org/geonetwork/srv/en/main.home.

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Title: Towards an Intelligent Integrated System for Urban Planning Using GIS and Cloud Computing
Authors: Boudjemaa Khelifa
Mohamed Ridda Laouar
Sean Eom
Publisher: Springer International Publishing
Book: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support
Print ISBN: 978-3-319-90314-9

Electronic ISBN: 978-3-319-90315-6

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-90315-6_3

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