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

Autor: Samereh Pourmoradian, Ayyoob Sharifi, Parviz Mohamadzadeh, Mathias Vogdrup-Schmidt, Bakhtiar Feizizadeh
Rok vydání: 2020
Předmět:
Geographic information system
010504 meteorology & atmospheric sciences
Process (engineering)
Computer science
lcsh:TJ807-830
Geography
Planning and Development
lcsh:Renewable energy sources
010501 environmental sciences
Management
Monitoring
Policy and Law
01 natural sciences
Fuzzy logic
sustainability mapping
sustainable development assessment
sensitivity analysis
Environmental planning
lcsh:Environmental sciences
0105 earth and related environmental sciences
lcsh:GE1-350
Sustainable development
Poverty
Renewable Energy
Sustainability and the Environment
business.industry
Multicriteria decision analysis
lcsh:Environmental effects of industries and plants
Sustainability mapping
Decision rule
Integrated approach
multicriteria decision analysis
integrated approach
lcsh:TD194-195
Sustainability
Sustainable development assessment
Sensitivity analysis
business
Zdroj: Sustainability, Vol 12, Iss 10413, p 10413 (2020)
Mohamadzadeh, P, Pourmoradian, S, Feizizadeh, B, Sharifi, A & Vogdrup-Schmidt, M 2020, ' A gis-based approach for spatially-explicit sustainable development assessments in East Azerbaijan Province, Iran ', Sustainability, vol. 12, no. 24, 10413 . https://doi.org/10.3390/su122410413
Sustainability
Volume 12
Issue 24
ISSN: 2071-1050
DOI: 10.3390/su122410413
Popis: 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.
Databáze: OpenAIRE
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