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A multidimensional decision-support approach to sustainable development planning

Bibliographic Data

ID19500297
AuthorsMichael Harte (0000-0002-8571-9481, University of Waikato), M J Harte (a Department of Geography , The University of Waikato, Te Whare Wānangao Waikato , Hamilton, New Zealand), Stephen Lonergan (University of Victoria), S C Lonergan (University of Victoria)
Year1995
Volume2
Issue2
Pages86-103
Publication date1995-06-01
Open AccessNo
TypeARTICLE
VenueInternational Journal of Sustainable Development & World Ecology (JOURNAL)
Journal identifiersISSN: 1350-4509 • E-ISSN: 1745-2627
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13504509509469892
OpenAlexW1983096951
LanguageEN
Citations received5
References cited18

The concept of sustainable development has become widely accepted as an instrumental objective of resource planning and environmental policy analysis. Nevertheless, applied planning approaches appropriate to this task have been slow in forthcoming. This paper suggests that one avenue for the application of sustainable development principles to resource management problems may be through multidimensional decision-support models. This approach recognizes that contemporary decision problems in the field of environmental planning are characterized by a diversity of structures and processes, incommensurable variables, and conflicting development objectives and constraints. On the basis of the articulated approach to sustainable development, a case study centred on Clayoquot Sound, British Columbia, Canada is presented. The case study serves to illustrate the efficacy of a multidimensional decision-support approach to sustainable development

Business · Decision support system · Economics · Environmental planning · Environmental resource management · Geography · Management · Management science · Political science · Process management · Sustainable development · Computer Science · Environmental and Social Impact Assessments · Sustainable Development and Environmental Policy · Water resources management and optimization · Artificial Intelligence

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Citations per year0.19
Citation span1999 - 2025 (27)
Highly citedNo

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