Mohammadreza KAMALI*1, Ali Asghar ALESHEIKH2, Seyedeh Azadeh ALAVI BORAZJANI3, Akram JAHANSHAHI4, Zahra KHODAPARAST5, Mohammadreza KHALAJ1
* Corresponding author
1 University of Aveiro, Department of Environment and Planning, Aveiro, PORTUGAL
2 Khajeh Nasir Toosi University of Technology, Department of Geospatial Information Systems, Tehran, IRAN
3 University of Aveiro, Department of Environment and Planning, and Department of Mechanical Engineering, Aveiro, PORTUGAL
4 University of Aveiro, Department of Economics, Management, Industrial Engineering and Tourism, and Department of Mechanical Engineering, Aveiro, PORTUGAL
5 University of Aveiro, Department of Biology, Aveiro, PORTUGAL
E-mail: kamali@ua.pt, alesheikh@kntu.ac.ir, saab@ua.pt, jahanshahi@ua.pt, khodaparast@ua.pt, khalaj@ua.pt
Pages: 99-105. DOI: 10.24193/JSSP.2017.2.03
Cite: Kamali M., Alesheikh A. A, Alavi Borazjani S. A., Jahanshahi A., Khodaparast Z., Khalaj M. (2017), Delphi-AHP and Weighted Index Overlay-GIS Approaches for Industrial Site Selection Case Study: Large Extractive Industrial Units in Iran. Journal of Settlements and Spatial Planning, 8(2), 99-105. DOI: 10.24193/JSSP.2017.2.03
Abstract. Evaluation of suitable sites for locating a large extractive industrial unit can be considered as a multi-criteria decision-making problem. Such a complicated process often requires considering the conflicting tangible and intangible criteria. This paper aims to propose a combination of a Delphi-analytical hierarchy process approach and geographical information system methodology in order to find the optimum sites for the large extractive industrial units in Iran. To this end, the most influential criteria and sub-criteria were firstly identified and weighted using Delphi method and analytical hierarchy process, respectively. Then, in order to specify the suitable sites for establishing a large extractive industrial unit in Iran, the results obtained from analytical hierarchy process were integrated into the weighted index overlay method in the geographical information system environment. The combination of Delphi and analytical hierarchy process with geographical information system revealed an acceptable performance for the identification and weighting of the effective criteria and the selection of the most suitable large extractive industrial unit sites in Iran.
K e y w o r d s: multi-criteria decision-making, industrial site selection, Weighted Index Overlay, GIS