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Solving the Location Selection Problem of Self-Service Stores from the Perspectives of Sustainability and Uncertainty.

This paper presents an improved method for selecting a specific location in the development of convenience stores in municipal areas. This method solves the problem of self-service store location from the perspective of sustainability and uncertainty and adequately considers the characteristics of i...

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Published in:Journal of Environmental & Public Health pp. 1 - 15
Main Authors: Zhang, Hao, Hou, Yuan, Feng, Huixia, Xu, Chenglin
Format: research Journal Article
Published: Wiley-Blackwell 9/22/2022
Online Access:View this record in EBSCOhost
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        16879805
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      jtl: Journal of Environmental & Public Health
      issn: 16879805
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    pubinfo:
      dt: 9/22/2022
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2022/1518755
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        atl: Solving the Location Selection Problem of Self-Service Stores from the Perspectives of Sustainability and Uncertainty.
      aug:
        au:
          Zhang, Hao
          Hou, Yuan
          Feng, Huixia
          Xu, Chenglin
        affil: Beijing Technology and Business University, Beijing, China
      sug:
        subj:
          Models, Theoretical
          Algorithms
          Uncertainty
          Scales
      ab: This paper presents an improved method for selecting a specific location in the development of convenience stores in municipal areas. This method solves the problem of self-service store location from the perspective of sustainability and uncertainty and adequately considers the characteristics of individual locations with the proposition of an improved grey wolf optimization algorithm. The example presented shows that the improved algorithm has obvious advantages in facilitating the selection of convenience stores with respect to the search precision, stability, and convergence. Based on the macroenvironment, income, and cost, this work establishes a relatively complex, complete, and targeted mathematical model. Finally, taking the Xiaonanzhuang area of Suzhou Street in Beijing as an example, the scientificity, feasibility, and sustainability of the location model are verified.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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