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Original Articles

Combination of fuzzy-AHP and DEMATEL-ANP with GIS in a new hybrid MCDM model used for the selection of the best space for leisure in a blighted urban site

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Pages 773-796 | Received 22 Mar 2015, Accepted 10 May 2015, Published online: 29 Sep 2015
 

Abstract

Urban blight issues have transformed over time. Today, the focus is on the social context and such services as recreation and leisure. Considering that the insufficiency of leisure spaces in blighted urban neighbourhoods gives rise to social and cultural problems in Tehran, this research aims to identify the best leisure space in a blighted urban site. The selection process uses the combination of a new hybrid MCDM model and GIS. The integration of GIS and MCDM makes a powerful tool for the selection of the best leisure space in a site because GIS provides efficient manipulation, analysis and presentation of spatial data while MCDM supplies consistent weight of sub-criteria and criteria. The results show the interrelations between dimensions and criteria, also influential priorities and the most important sequences of those. Afterward, this study employs DANP to obtain the weight of each criterion and select a site for leisure using GIS, based on INRM from the DEMATEL method.

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Additional information

Ahmad POURAHMAD. Professor at the Department of Geography and Urban Planning at the University of Tehran and Head of the Department of Geography and Tourism Planning at Kish International Campus of the University of Tehran. His research encompasses the areas of urban geography, urban blight and tourism. He is also the editor-in-chief and co-editor for research on geography and urban planning at the University of Tehran and other universities in Iran.

Ali HOSSEINI received his PhD (2015), BS (2009) and a MS (2011) degrees in human geography and urban planning from the University of Tehran. His research interests are concerned with spatial planning, urban planning, multiple criteria decision making and quantitative methods. He has published papers and book chapters in several international and national journals.

Audrius BANAITIS. Professor at the Department of Construction Economics and Property Management of Vilnius Gediminas Technical University. His research interests include project/risk management and project success, property management, sustainability and construction industry development, multiple criteria decision making: applications in construction and real estate.

Hossein NASIRI. PhD student of human geography at the University of Tehran. He received his MS on Remote Sensing & GIS (2011) and BS in physical geography (2008) form the University of Tehran. His research interests include spatial analysis and decision-making.

Nerija BANAITIENĖ. Associate Professor at the Department of Construction Economics and Property Management of Vilnius Gediminas Technical University. Her research interests include project/risk management, total quality management, building life cycle analysis, multiple criteria decision making: applications in construction and real estate.

Gwo-Hshiung TZENG is a National Distinguished Chair Professor and Distinguished Research Fellow of the National Taipei University, Taiwan. He received his Bachelor's degree in Business Management from the Tatung Institute of Technology (1967); Master's degree in Urban Planning from Chung Hsing University (1971); and PhD in Management Science from Osaka University, Japan (1977). He is Editor-In-Chief of the International Journal of Operations Research and the International Journal of Information Systems for Logistics and Management, among others. He is a member of IEEE, IAEE, ISMCDM, World Transport, etc. His current research interests include statistics, multivariate analysis, networks, routing and scheduling, multiple criteria decision making, fuzzy theory, hierarchical structure analysis for application to technology management, energy, environment, transportation systems, transportation investment, logistics, location, urban planning, tourism, technology management, electronic commerce, and global supply chains.

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