Literature DB >> 29663693

Controlling air pollution in a city: A perspective from SOAR-PESTLE analysis.

Mohammad Gheibi1, Mohsen Karrabi1, Ali Mohammadi1, Azin Dadvar1.   

Abstract

Strengths, opportunities, aspirations, and results (SOAR) analysis is a strategic planning framework that helps organizations focus on their current strengths and opportunities to create a vision of future aspirations and the results they will bring. PESTLE is an analytical framework for understanding external influences on a business. This research paper describes a field study and interviews of city hall managers from the city of Mashhad, Iran, conducted to investigate the application of SOAR and PESTLE frameworks for managing Mashhad's air pollution. Strategies are prioritized by the technique for order of preference by similarity to ideal solution (TOPSIS), Shannon entropy (SE), and analytic network process (ANP) multicriteria decision-making (MCDM) methods, considering economic conditions, managers' opinions, consensus, city council approvals, and national documents. The results of this research study show that creating centralized databases, supporting local governments, and developing smart city infrastructure, with weights of 0.194, 0.182, and 0.161, respectively, are the highest ranked strategies for managing air pollution in Mashhad. It can also be concluded that citizen involvement is key to achieving success in the employment of any management strategy. Integr Environ Assess Manag 2018;14:480-488.
© 2018 SETAC. © 2018 SETAC.

Keywords:  Air pollution; Environmental management; Multicriteria decision making; PESTLE; SOAR

Mesh:

Year:  2018        PMID: 29663693     DOI: 10.1002/ieam.4051

Source DB:  PubMed          Journal:  Integr Environ Assess Manag        ISSN: 1551-3777            Impact factor:   2.992


  1 in total

1.  A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection.

Authors:  Chun-Ho Chen
Journal:  Entropy (Basel)       Date:  2021-11-28       Impact factor: 2.524

  1 in total

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