Document Type : Research

Authors

1 PhD Student in Geography and Rural Planning, Faculty of Geographical Sciences and Planning, Isfahan University, Isfahan, Iran

2 Associate Professor, Department of Geography and Rural Planning, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran

3 Associate Professor of Geography and Rural Planning, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran

10.22067/jgrd.2024.90018.1485

Abstract

Rural Good governance is a comprehensive framework for the efficiency of the spatial planning and policy system. The present study analyzed the factors affecting rural good governance in the policy-making and spatial planning system of Khuzestan province. In terms of purpose, this study was applied research, in terms of nature and methodology, it was descriptive-analytical, and in terms of data collection, it was done by documentary and survey methods. To achieve this, 340 sub-categories were extracted in the form of eight categories explaining rural good governance in the province by data analysis of regional documents related to the research topic in the province. According to the content of the questions, a group of 35 people consisting of experts from seven organizations of Khuzestan province was considered to answer the questionnaire. To know the status of rural good governance categories in the province, the results of the final coefficients of the categories obtained from the average weights of a set of weighting methods of multi-criteria decision-making (MCDM) showed that the categories of legality, efficiency and effectiveness, justice and participation categories gained the largest share in rural good governance in Khuzestan province. To determine the level of rural good governance, the results of the methods of aggregation of coefficients of fuzzy MCDM methods showed that the counties of Ahvaz, Dezful, and Behbahan had the best status and the three counties of Ramshir, Haftgel, and Seydun got the lowest position among all the counties. The results of the combination of fuzzy MCDM methods in the geographic information system (GIS) environment to spatially display the general state of rural good governance in the province's counties showed that the share of appropriate, medium, and inappropriate levels was respectively 40.0% or twelve counties, 23.3% or seven counties and 36.7% or eleven counties.

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