Spatial Analysis of Smart Village Indicators in Pri-urban Rural Settlements (Case Study: Villages Surrounding of Metropolitan Tehran)

Articles in Press

Document Type : Original Article

Authors

1 Shahid Behshti University

2 Shahid Beheshti University

Abstract

The concept of a smart village aims to address the challenges of rural development through bottom-up policymaking. Information and communication technology plays a crucial role in identifying system constraints and gaps, improving data analysis and monitoring, enhancing technical and entrepreneurial skills, and promoting desirable social norms and behaviors for achieving comprehensive development. The objective of this research is to spatially analyze the indicators of the smart village approach in suburban rural settlements surrounding the metropolis of Tehran, specifically in the Islamshahr county. The present study adopts a descriptive-analytical method and is both applied and comprehensive in terms of its objective and research population. The statistical population of the first group includes twelve selected villages in Islamshahr county, with a total population of 34,574 individuals and 10,340 households, constituting over 95% of the rural population in the county. The sample size for surveying the villages was determined using the Cochran formula, resulting in a sample size of 260 rural questionnaires, which were randomly distributed. The second group consists of 30 identified experts, university professors, professionals, and executive officials in the rural sector. For data analysis, AHP, ARAS software, and the One-Sample t-test in SPSS were utilized. The research findings indicate that among the smart village indicators, smart tourism and smart energy are the most important indicators in the studied villages, with scores of 9.265 and 8.996, respectively. The smart energy indicator ranked first with an average of 3.33, followed by the smart tourism indicator with a score of 3.31, influencing the formation of the smart village approach in the study area. Finally, the results of the ARAS multicriteria decision-making method demonstrate that Nazmabad and Firuz Bahram villages ranked first and second, respectively, in terms of smart village indicators, while Irin village ranked last in terms of somatization.

Keywords

Village and Space Sustainable Development

Articles in Press, Accepted Manuscript
Available Online from 06 March 2024

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