A smart MCDM framework to evaluate the impact of air pollution on city sustainability: A case study from China

Qingyong Wang, Hong-Ning Dai*, Hao Wang

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

49 Citations (Scopus)

Abstract

Air pollution has become one of the key environmental concerns in the urban sustainable development. It is important to evaluate the impact of air pollution on socioeconomic development since it is the prerequisite to enforce an effective prevention policy of air pollution. In this paper, we model the impact of air pollution on the urban economic development as a Multiple Criteria Decision Making (MCDM) problem. In particular, we propose a novel Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) analysis framework to evaluate multiple factors of air pollutants and economic development. Our method can overcome the drawbacks of conventional TOPSIS methods by using Bayesian regularization and the Back-Propagation (BP) neural network to optimize the weight training process. We have conducted a case study to evaluate our proposed framework.

Original languageEnglish
Article number911
Number of pages17
JournalSustainability (Switzerland)
Volume9
Issue number6
Early online date29 May 2017
DOIs
Publication statusPublished - Jun 2017

Scopus Subject Areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law

User-Defined Keywords

  • sustainability
  • air pollution
  • Multiple Criteria Decision Making (MCDM)
  • TOPSIS
  • neural network

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