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Achieving Effectiveness in Stakeholder Participation Using the GIS-Based Collaborative Spatial Delphi Methodology

Shivanand Balram (), Suzana Dragicevic () and Thomas Meredith ()
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Shivanand Balram: Spatial Analysis and Modelling Laboratory, Department of Geography, Simon Fraser University, RCB Hall, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada
Suzana Dragicevic: Spatial Analysis and Modelling Laboratory, Department of Geography, Simon Fraser University, RCB Hall, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada
Thomas Meredith: Department of Geography, McGill University, Burnside Hall, 805 Sherbrooke Street West, Montreal, Quebec, H3A 2K6, Canada

Journal of Environmental Assessment Policy and Management (JEAPM), 2003, vol. 05, issue 03, 365-394

Abstract: Environmental problems have spatial origins and consequences. Hence, effective stakeholder participation demands the integration of comprehensive facilities for understanding the spatial components that affect environmental change. This study develops the Collaborative Spatial Delphi (CSD) methodology to embed spatial thinking, conceptualise the dynamic mechanisms, and assess the effectiveness of the resulting participatory process. The CSD uses a collaborative geographic information system (GIS) and the Delphi procedure in a descriptive decision-making framework that integrates diverse stakeholder knowledge for spatial awareness, understanding, and negotiated outcomes. The CSD synthesises relevant theories to conceptualise the participation mechanisms, and an application of the methodology to urban green spaces planning in Montreal, Canada is presented. The results suggest that a deficiency in technical background is not a barrier to effective use of spatial technology in participatory planning. The methodology enhanced many spatial facets of the participation process and was evaluated as effective in achieving negotiated outcomes.

Keywords: Collaborative GIS; Collaborative Spatial Delphi (CSD); spatial cognition; Delphi method; pluralistic decision making and planning; systems theory (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (5)

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DOI: 10.1142/S1464333203001413

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