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Article type: Research Article
Authors: Min, Qu | Yu, Chen | Xing-Fu, Xiong | Jiang, Wu; *
Affiliations: School of Arts & Design, Nanchang University, Nanchang, China
Correspondence: [*] Corresponding author. Wu Jiang, Industrial Design Department, School of Arts & Design, Nanchang University, 330031, Nanchang, P.R. China. E-mail: [email protected].
Abstract: A comprehensive evaluation indicator system is the basis of car sharing systems (CSS) evaluation. The purpose of this study is to introduce the principles and methods of indicator selection for CSS, and to identify indicators for evaluating car sharing systems due to the reason that the importance of indicators can never be overestimated in CSS evaluation. A framework to identify indicators for evaluating CSS is proposed with four steps. First of all, the structure for indicator selection is established with application of AHP method. Secondly, adequacy check and redundancy check are carried out to ensure the structure is adequate and redundant. Thirdly, underlying individual indicators are proposed according to questionnaires. Fourthly, to ensure the necessity, identification, and feasibility of indicators, we conduct N-I-F check. We carry out a case study of CSS evaluation indicators to validate the proposed framework from four dimensions: economic, environmental, systematic, and social. The proposed framework is quantitative and it is helpful in CSS evaluation to identify proper indicators and find out the best CSS option.
Keywords: Car sharing systems, indicator selection, evaluation
DOI: 10.3233/JIFS-200646
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4703-4721, 2020
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