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Ali Mansourian

Ali Mansourian

Professor

Ali Mansourian

A web-based spatial decision support system to enhance public participation in urban planning processes

Author

  • A Mansourian
  • Mohammad Taleai
  • Ali Fasihi

Summary, in English

Urban planning processes are complex and multidimensional and they require re-thinking of traditional approaches. One of the theories increasingly researched by urban planners is realisation of participatory planning to facilitate public participation. This approach, as an effective bottom-up method, should increase the capabilities of planners to solve urban problems by including the general public in the urban planning process. This paper proposes a framework for a Web-based spatial decision support system (WebGIS-SDSS) adjusted to a participatory urban planning approach. The framework, called Web-based participatory urban planning (WPUP), has been implemented in a case study. It offers a Web-based spatial forum to demonstrate how the proposed system can not only help citizens to share their idea regarding urban plans, but also help planners to implement applicable bottom-up and public participation decision-making theory in the urban planning process. WPUP supports the deliberative and analytic components of the collaborative spatial decision-making process. It facilitates inclusion of local knowledge in urban planning to complement traditional approaches. WPUP provides easy access to urban plans and decisions, improves communication among planners and public, involves citizens’ preferences on planning in a timely manner, and finally facilitates participatory planning approach.

Publishing year

2011

Language

English

Pages

269-287

Publication/Series

Journal of Spatial Science

Volume

56

Issue

2

Document type

Journal article

Publisher

Taylor & Francis

Topic

  • Physical Geography

Keywords

  • Web GIS
  • Public participatory GIS (PPGIS)
  • Geographic Information System (GIS)
  • multicriteria decision analysis

Status

Published

ISBN/ISSN/Other

  • ISSN: 1449-8596