{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-2000"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-2000","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Integrating social and environmental impacts of green transportation infrastructure : a framework for effective decision-making","abstract":"Green Infrastructure (GI) gains recognition as a viable alternative to traditional infrastructure due to its economic, environmental, and social benefits. However, quantifying and monetizing GI's social and environmental impacts pose challenges, leading to their neglect in comparative evaluations. To heighten GI's appeal, this study introduces a novel framework that incorporates social and environmental impacts and public opinion using the Analytical Hierarchy Process and Monte Carlo simulation. The framework offers a comprehensive approach to evaluate GI's impact. Findings from a Philadelphia project demonstrate that projects with more GI elements are cost-effective when considering public opinion and long-term benefits. The research emphasizes the importance of incorporating GI's threefold benefits into evaluation frameworks, aiding decision-makers in making informed choices by accounting for social, environmental, and economic impacts","abstract_html":"Green Infrastructure (GI) gains recognition as a viable alternative to traditional infrastructure due to its economic, environmental, and social benefits. However, quantifying and monetizing GI's social and environmental impacts pose challenges, leading to their neglect in comparative evaluations. To heighten GI's appeal, this study introduces a novel framework that incorporates social and environmental impacts and public opinion using the Analytical Hierarchy Process and Monte Carlo simulation. The framework offers a comprehensive approach to evaluate GI's impact. Findings from a Philadelphia project demonstrate that projects with more GI elements are cost-effective when considering public opinion and long-term benefits. The research emphasizes the importance of incorporating GI's threefold benefits into evaluation frameworks, aiding decision-makers in making informed choices by accounting for social, environmental, and economic impacts","abstract_has_math":false,"creators":["Sabbir, Md Kamrul Hasan"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Fomunung, Ignatius","Bathi, Jejal Reddy; Onyango, Mbakisya A.","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:47:13Z","subjects":["Sustainable transportation","Sustainable urban development","Infrastructure (Economics)--Environmental aspects","Infrastructure (Economics)--Social aspects"],"languages":["English","eng"],"rights":[],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/824","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Fomunung, Ignatius","Bathi, Jejal Reddy; Onyango, Mbakisya A.","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Sabbir, Md Kamrul Hasan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-08-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Sustainable transportation","Sustainable urban development","Infrastructure (Economics)--Environmental aspects","Infrastructure (Economics)--Social aspects"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/824"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Civil and Chemical Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["Green Infrastructure (GI) gains recognition as a viable alternative to traditional infrastructure due to its economic, environmental, and social benefits. However, quantifying and monetizing GI's social and environmental impacts pose challenges, leading to their neglect in comparative evaluations. To heighten GI's appeal, this study introduces a novel framework that incorporates social and environmental impacts and public opinion using the Analytical Hierarchy Process and Monte Carlo simulation. The framework offers a comprehensive approach to evaluate GI's impact. Findings from a Philadelphia project demonstrate that projects with more GI elements are cost-effective when considering public opinion and long-term benefits. The research emphasizes the importance of incorporating GI's threefold benefits into evaluation frameworks, aiding decision-makers in making informed choices by accounting for social, environmental, and economic impacts"]},{"key":"dc:title","label":"Title","values":["Integrating social and environmental impacts of green transportation infrastructure : a framework for effective decision-making"]}]}],"canonical_facts":{"dc:contributor":["Fomunung, Ignatius","Bathi, Jejal Reddy; Onyango, Mbakisya A.","College of Engineering and Computer Science"],"dc:creator":["Sabbir, Md Kamrul Hasan"],"dc:date":["2023-08-01T07:00:00Z"],"dc:description":["Dept. of Civil and Chemical Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["Green Infrastructure (GI) gains recognition as a viable alternative to traditional infrastructure due to its economic, environmental, and social benefits. However, quantifying and monetizing GI's social and environmental impacts pose challenges, leading to their neglect in comparative evaluations. To heighten GI's appeal, this study introduces a novel framework that incorporates social and environmental impacts and public opinion using the Analytical Hierarchy Process and Monte Carlo simulation. The framework offers a comprehensive approach to evaluate GI's impact. Findings from a Philadelphia project demonstrate that projects with more GI elements are cost-effective when considering public opinion and long-term benefits. The research emphasizes the importance of incorporating GI's threefold benefits into evaluation frameworks, aiding decision-makers in making informed choices by accounting for social, environmental, and economic impacts"],"dc:identifier":["https://scholar.utc.edu/theses/824"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Sustainable transportation","Sustainable urban development","Infrastructure (Economics)--Environmental aspects","Infrastructure (Economics)--Social aspects"],"dc:title":["Integrating social and environmental impacts of green transportation infrastructure : a framework for effective decision-making"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:47:13Z"}