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Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

ISM and AHP Based Evaluation Indicators for Sustainable Community Product Service System

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328038,
        author={Wenlu  You},
        title={ISM and AHP Based Evaluation Indicators for Sustainable Community Product Service System},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={sustainable communities; sustainable product service systems; evaluation indicators; interpretative structural modeling; analytic hierarchy process},
        doi={10.4108/eai.2-12-2022.2328038}
    }
    
  • Wenlu You
    Year: 2023
    ISM and AHP Based Evaluation Indicators for Sustainable Community Product Service System
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2328038
Wenlu You1,*
  • 1: South China University of Technology
*Contact email: raodland0308@163.com

Abstract

Along with the research on healthy cities, sustainable community product service system has become a new hot spot in design research and practice. Since the design of a Sustainable Community Product Service System (SCPSS, hereinafter referred to as SCPSS) involves several subsystems of society, economy, culture, and environment, and its elements are intricately related, which makes it difficult for designers to carry out the design of SCPSS. This paper constructs a structural model of SCPSS evaluation indicators by using the Interpretive Structural Model (ISM) and determines the weights of each evaluation indicator by using the Hierarchical Analysis Process (AHP) to obtain quantitative evaluation indicators of SCPSS and provides ideas for SCPSS design and practice.

Keywords
sustainable communities; sustainable product service systems; evaluation indicators; interpretative structural modeling; analytic hierarchy process
Published
2023-03-27
Publisher
EAI
http://dx.doi.org/10.4108/eai.2-12-2022.2328038
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