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

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Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support (ICDSST 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 313))

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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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Notes

  1. 1.

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

  2. 2.

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

  3. 3.

    https://www.openstreetmap.org.

  4. 4.

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

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Acknowledgments

The authors would like to thank the referees for their efforts to read and comment this manuscript.

Author information

Authors and Affiliations

  1. Laboratory of Mathematics, Informatics and Systems (LAMIS), University of Larbi Tebessi, 12002, Tebessa, Algeria

    Boudjemaa Khelifa & Mohamed Ridda Laouar

  2. Southeast Missouri State University, Cape Girardeau, USA

    Sean Eom

Authors
  1. Boudjemaa Khelifa
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  2. Mohamed Ridda Laouar
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  3. Sean Eom
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Corresponding author

Correspondence to Mohamed Ridda Laouar .

Editor information

Editors and Affiliations

  1. SimTech Simulation Technology, Graz, Austria

    Fatima Dargam

  2. Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece

    Pavlos Delias

  3. University of Namur, Namur, Belgium

    Isabelle Linden

  4. ULB, Brussels, Belgium

    Bertrand Mareschal

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Khelifa, B., Laouar, M.R., Eom, S. (2018). Towards an Intelligent Integrated System for Urban Planning Using GIS and Cloud Computing. In: Dargam, F., Delias, P., Linden, I., Mareschal, B. (eds) Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. ICDSST 2018. Lecture Notes in Business Information Processing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-90315-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-90315-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90314-9

  • Online ISBN: 978-3-319-90315-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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