A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Urban–Rural Continuum in the Gonda District, India: Quantifying Rurality Using Modified Fuzzy AHP
This article is the first attempt to understand and develop an effective tool to support decision-makers in defining actions aimed at the development of rural areas in view of the global rationalization and optimization of resources. The objective was to create a rurality index (RI) to assist in resource allocation and policy design by considering the unique characteristics of India addressing a critical gap in regional development studies. A modified Fuzzy Analytical Hierarchy Process (F-AHP) was used to develop an RI tailored to the Gonda district in India. A comprehensive survey of 1300 experts guided the selection and prioritization of 21 factors across six domains: education, infrastructure, employment, agriculture, healthcare, and social index. These factors were then applied to assess 1214 villages in 16 development blocks. This methodology facilitated the ranking and zoning of the areas, resulting in 16 distinct zones, which enhanced the interpretability of the results. Rupaideeh and Itiyathok emerged at the top of the combined domain rankings, while Babhanjot and Chapiya occupied the bottom positions. The developed index provides a robust framework for guiding resource allocation and designing targeted interventions, thereby promoting more equitable development across communities. The results underscored the complex interplay of factors influencing village development across the assessed regions. Moreover, this model demonstrated the potential for adaptation and application in diverse localities, subject to appropriate modifications of parameters to suit local contexts. The index’s versatility and comprehensive approach offers valuable insights for policymakers and development practitioners seeking to address regional disparities effectively.
Urban–Rural Continuum in the Gonda District, India: Quantifying Rurality Using Modified Fuzzy AHP
This article is the first attempt to understand and develop an effective tool to support decision-makers in defining actions aimed at the development of rural areas in view of the global rationalization and optimization of resources. The objective was to create a rurality index (RI) to assist in resource allocation and policy design by considering the unique characteristics of India addressing a critical gap in regional development studies. A modified Fuzzy Analytical Hierarchy Process (F-AHP) was used to develop an RI tailored to the Gonda district in India. A comprehensive survey of 1300 experts guided the selection and prioritization of 21 factors across six domains: education, infrastructure, employment, agriculture, healthcare, and social index. These factors were then applied to assess 1214 villages in 16 development blocks. This methodology facilitated the ranking and zoning of the areas, resulting in 16 distinct zones, which enhanced the interpretability of the results. Rupaideeh and Itiyathok emerged at the top of the combined domain rankings, while Babhanjot and Chapiya occupied the bottom positions. The developed index provides a robust framework for guiding resource allocation and designing targeted interventions, thereby promoting more equitable development across communities. The results underscored the complex interplay of factors influencing village development across the assessed regions. Moreover, this model demonstrated the potential for adaptation and application in diverse localities, subject to appropriate modifications of parameters to suit local contexts. The index’s versatility and comprehensive approach offers valuable insights for policymakers and development practitioners seeking to address regional disparities effectively.
Urban–Rural Continuum in the Gonda District, India: Quantifying Rurality Using Modified Fuzzy AHP
Ashutosh Shukla (author) / Hiroko Ono (author)
2024
Article (Journal)
Electronic Resource
Unknown
rurality index , Gonda , MCDM , ranking , F-AHP , Geography. Anthropology. Recreation , G , Social Sciences , H
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