<abstract xmlns="http://www.w3.org/1999/xhtml"><p>One of the key elements for rural development is the connectivity using proper roads, which enhances the passage for economic and social utilities with overall socio-economic development. Socio-economic impact assessment (SEIA) forms one of the significant measures to evaluate the outcome received through infrastructure development in rural areas. SEIA modeling under computational intelligence coupled with fuzzy framework provides significant ground to deal with both qualitative and quantitative data. This study proposes a novel methodology by using Adaptive Neuro-Fuzzy Inference System (ANFIS) with Fuzzy Delphi method (FDM) to evaluate socio-economic impacts. The effectiveness of the methodology is presented through a case study for 27 habitations connected with all-weather rural roads constructed under Pradhan Mantri Gram Sadak Yojana (PMGSY) scheme in Jhunjhunu district of Rajasthan State, India. 33 key-parameters under five different criteria are considered for SEIA. For a comprehensive view of the impacts, the results are depicted using ArcGIS tool.</p></abstract>

One of the key elements for rural development is the connectivity using proper roads, which enhances the passage for economic and social utilities with overall socio-economic development. Socio-economic impact assessment (SEIA) forms one of the significant measures to evaluate the outcome received through infrastructure development in rural areas. SEIA modeling under computational intelligence coupled with fuzzy framework provides significant ground to deal with both qualitative and quantitative data. This study proposes a novel methodology by using Adaptive Neuro-Fuzzy Inference System (ANFIS) with Fuzzy Delphi method (FDM) to evaluate socio-economic impacts. The effectiveness of the methodology is presented through a case study for 27 habitations connected with all-weather rural roads constructed under Pradhan Mantri Gram Sadak Yojana (PMGSY) scheme in Jhunjhunu district of Rajasthan State, India. 33 key-parameters under five different criteria are considered for SEIA. For a comprehensive view of the impacts, the results are depicted using ArcGIS tool.

The Application of Adaptive Neuro-Fuzzy Inference System and Fuzzy Delphi Technique to Assess Socio-Economic Impacts of Construction of Rural Roads

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

One of the key elements for rural development is the connectivity using proper roads, which enhances the passage for economic and social utilities with overall...

The Application of Adaptive Neuro-Fuzzy Inference System and Fuzzy Delphi Technique to Assess Socio-Economic Impacts of Construction of Rural Roads

Data publikacji: 21 lis 2019

Zakres stron: 325 - 345

DOI: https://doi.org/10.2478/ttj-2019-0027

Słowa kluczowe
Adaptive Neuro-Fuzzy Inference System, accessibility, socio-economic impact assessment (SEIA), transportation

© 2019 Transport and Telecommunication Institute

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The Application of Adaptive Neuro-Fuzzy Inference System and Fuzzy Delphi Technique to Assess Socio-Economic Impacts of Construction of Rural Roads

Data publikacji: 21 lis 2019

Zakres stron: 325 - 345

DOI: https://doi.org/10.2478/ttj-2019-0027

Słowa kluczoweAdaptive Neuro-Fuzzy Inference System, accessibility, socio-economic impact assessment (SEIA), transportation

© 2019 Transport and Telecommunication Institute

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Adaptive Neuro-Fuzzy Inference System, accessibility, socio-economic impact assessment (SEIA), transportation