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Title: Assessing the social sustainability contribution of an infrastructure project under conditions of uncertainty

Journal Article · · Environmental Impact Assessment Review
 [1];  [2]
  1. ICITECH, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia (Spain)
  2. School of Civil Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia (Spain)

Assessing the viability of a public infrastructure includes economic, technical and environmental aspects; however, on many occasions, the social aspects are not always adequately considered. This article proposes a procedure to estimate the social sustainability of infrastructure projects under conditions of uncertainty, based on a multicriteria deterministic method. The variability of the method inputs is contributed by the decision-makers. Uncertain inputs are treated through uniform and beta PERT distributions. The Monte Carlo method is used to propagate uncertainty in the method. A case study of a road infrastructure improvement in El Salvador is used to illustrate this treatment. The main results determine the variability of the short and long-term social improvement indices by infrastructure and the probability of the position in the prioritization of the alternatives. The proposed mechanism improves the reliability of the decision making early in infrastructure projects, taking their social contribution into account. The results can complement environmental and economic sustainability assessments. - Highlights: •Estimate the social sustainability of infrastructure projects under conditions of uncertainty •The method uses multicriteria and Monte Carlo techniques and beta PERT distributions •Determines variability of the short and long term social improvement •Determines probability in the prioritization of alternatives •Improves reliability of decision making considering the social contribution.

OSTI ID:
22701686
Journal Information:
Environmental Impact Assessment Review, Vol. 67; Other Information: Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); ISSN 0195-9255
Country of Publication:
United States
Language:
English

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