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: Journal PublicationsJournal Article (refereed)peer-review

30 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
JournalSustainability (Switzerland)
Volume9
Issue number6
DOIs
Publication statusPublished - 29 May 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 by the authors.

Keywords

  • Air pollution
  • Multiple criteria decision making (MCDM)
  • Neural network
  • Sustainability
  • TOPSIS

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