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A GIS-Based Approach for Spatially-Explicit Sustainable Development Assessments in East Azerbaijan Province, Iran

Author

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  • Parviz Mohamadzadeh

    (Department of Economic Sciences, University of Tabriz, Tabriz 51368, Iran)

  • Samereh Pourmoradian

    (Department of Management, University of Tabriz, Tabriz 51368, Iran)

  • Bakhtiar Feizizadeh

    (Department of Remote Sensing and GIS, University of Tabriz, Tabriz 51368, Iran
    Institute of Environment, University of Tabriz, Tabriz 51368, Iran)

  • Ayyoob Sharifi

    (Graduate School of Humanities and Social Sciences and Network for Education and Research on Peace and Sustainability (NERPS) at Hiroshima University, Higashihiroshimashi 739-8530, Japan)

  • Mathias Vogdrup-Schmidt

    (Ordrup, 1058 Copenhagen, Denmark)

Abstract

We propose an efficient integrated approach of spatial decision-making systems and geographical information science for spatially explicit sustainable development mapping. The approach was developed, and its efficiency examined for sustainability assessment in East Azerbaijan Province, Iran. To achieve this goal, sustainable development indicators were employed through GIS decision rule and spatial analysis. Accordingly, 13 main criteria and 44 sub-criteria were identified and prepared as GIS dataset. The fuzzy analytical network process (FANP) method was employed to derive the criteria weights and their significance. We also applied the Global Sensitivity Analysis (GSA) for minimizing the uncertainties associated with the FANP weights. The Ordered Weighted Averaging (OWA) method was applied to aggregate the indicators and develop the sustainable development maps. Results confirmed that integrated GIS-based decision rules can be applied for any sustainable development mapping efficiently. Results of this research present an approach for sustainable development assessment and can be applied for similar research effectually. In the case of East Azerbaijan Province, the detailed results represent the unbalanced sustainable development within the different counties of this province. This requires taking necessary actions to ensure more balanced and just economic development in the province. The degree of sustainable development shows a significant spatial correlation with the industrial activities, employment, demography, poverty and infrastructure properties. The obtained results are of great importance for decision makers to identify efficient approaches in light of sustainable development mapping.

Suggested Citation

  • Parviz Mohamadzadeh & Samereh Pourmoradian & Bakhtiar Feizizadeh & Ayyoob Sharifi & Mathias Vogdrup-Schmidt, 2020. "A GIS-Based Approach for Spatially-Explicit Sustainable Development Assessments in East Azerbaijan Province, Iran," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10413-:d:461205
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    References listed on IDEAS

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    1. Kleijnen, Jack P. C., 2005. "An overview of the design and analysis of simulation experiments for sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 164(2), pages 287-300, July.
    2. Bakhtiar Feizizadeh & Thomas Blaschke, 2013. "GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 2105-2128, February.
    3. Bakhtiar Feizizadeh & Stefan Kienberger, 2017. "Spatially explicit sensitivity and uncertainty analysis for multicriteria-based vulnerability assessment," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 60(11), pages 2013-2035, November.
    4. David Griggs & Mark Stafford-Smith & Owen Gaffney & Johan Rockström & Marcus C. Öhman & Priya Shyamsundar & Will Steffen & Gisbert Glaser & Norichika Kanie & Ian Noble, 2013. "Sustainable development goals for people and planet," Nature, Nature, vol. 495(7441), pages 305-307, March.
    5. Xu, Chonggang & Gertner, George Zdzislaw, 2008. "Uncertainty and sensitivity analysis for models with correlated parameters," Reliability Engineering and System Safety, Elsevier, vol. 93(10), pages 1563-1573.
    6. Boggia, Antonio & Massei, Gianluca & Pace, Elaine & Rocchi, Lucia & Paolotti, Luisa & Attard, Maria, 2018. "Spatial multicriteria analysis for sustainability assessment: A new model for decision making," Land Use Policy, Elsevier, vol. 71(C), pages 281-292.
    7. Arika Ligmann-Zielinska & Piotr Jankowski, 2012. "Impact of proximity-adjusted preferences on rank-order stability in geographical multicriteria decision analysis," Journal of Geographical Systems, Springer, vol. 14(2), pages 167-187, April.
    8. Vogdrup-Schmidt, Mathias & Strange, Niels & Olsen, Søren B. & Thorsen, Bo Jellesmark, 2017. "Trade-off analysis of ecosystem service provision in nature networks," Ecosystem Services, Elsevier, vol. 23(C), pages 165-173.
    9. Aragones-Beltran, P. & Aznar, J. & Ferris-Onate, J. & Garcia-Melon, M., 2008. "Valuation of urban industrial land: An analytic network process approach," European Journal of Operational Research, Elsevier, vol. 185(1), pages 322-339, February.
    10. M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323, March.
    11. Hassan Abedi Gheshlaghi & Bakhtiar Feizizadeh & Thomas Blaschke, 2020. "GIS-based forest fire risk mapping using the analytical network process and fuzzy logic," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 63(3), pages 481-499, February.
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    2. Sandra L. Cobos-Mora & José Guamán-Aucapiña & Jonathan Zúñiga-Ruiz, 2023. "Suitable site selection for transfer stations in a solid waste management system using analytical hierarchy process as a multi-criteria decision analysis: a case study in Azuay-Ecuador," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1944-1977, February.

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