Ruiz-Padillo, A, Torija Martinez, AJ ORCID: https://orcid.org/0000-0002-5915-3736, Ramos-Ridao, A and Ruiz, DP
2016,
'Application of the fuzzy analytic hierarchy process in multi-criteria decision in noise action plans : prioritizing road stretches'
, Environmental Modelling & Software, 81
, pp. 45-55.
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Abstract
Traffic noise is one of the major environmental impacts of road infrastructures. Critical study of published Noise Action Plans (NAP) signals a widespread lack of objective criteria and methodologies for prioritizing actions against noise as well as the suitability of solutions. The present paper develops a methodology to sort, by priority, road stretches included in a NAP. In obtaining and allocating weights to variables involved in the decision-making problem (“Road Stretch Priority Variables”) to define a normalized numerical index (“Road Stretch Priority Index”), Fuzzy Analytic Hierarchy Process (FAHP) with two different defuzzification methods is applied to the results of an expert panel. Comparison of the outcomes of both FAHP versions, plus analysis of the results of a case study, enables to determine the relative influence of these variables in the problem. An objective and reasoned methodology for the prioritized classification of road stretches according to noise problems is thereby validated.
Item Type: | Article |
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Schools: | Schools > School of Computing, Science and Engineering |
Journal or Publication Title: | Environmental Modelling & Software |
Publisher: | Elsevier |
ISSN: | 1364-8152 |
Related URLs: | |
Funders: | “Ministerio de Economía y Competitividad” of Spain, University of Malaga and the European Commission, seventh Framework Programme for R & D of the EU, granted within the People Programme, “Co-funding of Regional, National and International Programmes” (COFUND),, “Ministerio de Economía y Competitividad” of Spain, “Direcci�on General de Infraestructuras de la Consejería de Fomento y Vivienda” of the “Junta de Andalucía” (Spain) |
Depositing User: | Dr Antonio J Torija Martinez |
Date Deposited: | 02 Dec 2019 16:25 |
Last Modified: | 16 Feb 2022 03:26 |
URI: | https://usir.salford.ac.uk/id/eprint/53205 |
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