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Land suitability assessment for locating industrial parks: a hybrid multi criteria decision‐making approach using Geographical Information System
Author(s) -
Arabsheibani Reza,
Kanani Sadat Yousef,
Abedini Abbas
Publication year - 2016
Publication title -
geographical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.695
H-Index - 47
eISSN - 1745-5871
pISSN - 1745-5863
DOI - 10.1111/1745-5871.12176
Subject(s) - multiple criteria decision analysis , vagueness , process (computing) , analytic network process , computer science , geographic information system , fuzzy logic , order (exchange) , industrial park , management science , operations research , analytic hierarchy process , geography , engineering , business , artificial intelligence , cartography , archaeology , finance , operating system
Industrial areas play a critical role in urban and regional planning, especially for developing countries where reliable strategies for these areas can promote economic and environmental efficiency. The present study provides an integration of hybrid multi‐criteria decision‐making (MCDM) theories and Geographical Information System (GIS) processes in order to assess the suitability of an industrial location. Unlike traditional models, an efficient decision analysis demands handling uncertainties and considering dependencies between criteria. The proposed MCDM framework uses fuzzy theory because of the vagueness of experts' judgements. Moreover, Decision‐Making Trial and Evaluation Laboratory (DEMATEL) is employed to investigate interrelationships among the criteria. In the proposed empirical solution, analytic network process (ANP) principles are used to deal with systematic interactions. We considered several factors such as accessibility, topography, proximity, and socioeconomic characteristics in the decision‐making procedure for a sustainable industrial park. The system is applied to Hamadan province, Iran to determine appropriate locations that are the results of the aggregation of criteria maps in a GIS environment. The results demonstrate that accessibility and economic indicators are essential for choosing an industrial park's location. Additionally, the proposed method can be applied for an efficiency evaluation of available industrial parks.