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Municipal Infrastructure Prioritization based on Consequence-Based Decision-Making Framework

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The breakdown of municipal infrastructures may trigger serious effects to the society, environment, and economy. In this study, a systematic consequence-based decision-making framework is developed based on expert's judgment or opinion. The causal relationships between various factors is established based on available data, previous literature, and expert judgment. To develop the consequence-based decision-making framework, Decision Making Trial and Evaluation Laboratory (DEMATEL) method is integrated with Interpretive Structure Modeling (ISM). The results of this study indicate that a complex causal relationship exists between the consequence factors. The developed framework can be used to prioritize the municipal infrastructures for maintenance, repair, renovation, and replacement and to represent environmental, social, safety, and economic impacts.

Original languageEnglish
Title of host publication2020 International Conference on Decision Aid Sciences and Application, DASA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages877-881
Number of pages5
ISBN (Electronic)9781728196770
DOIs
StatePublished - 8 Nov 2020
Externally publishedYes

Publication series

Name2020 International Conference on Decision Aid Sciences and Application, DASA 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Consequence
  • DEMATEL
  • Decision-Making
  • ISM
  • Municipal Infrastructure

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Control and Optimization

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