An improved approach to evaluate car sharing options. (January 2017)

• Record Type: Journal Article
• Authors: Qu, Min; Yu, Suihuai; Yu, Mingjiu
• Is Part Of: Ecological indicators. Volume 72(2017)
• Page Start: 686
• Page End: 702
• Publication Date: 2017-01
• Subjects: Fuzzy analytic hierarchy process -- Fuzzy technique for order preference by similarity to ideal solution -- Car sharing -- Indicator -- Sensitivity analysis; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2016.07.018
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: A new methodology to identify appropriate indicators is proposed. An improved approach is developed to evaluate car sharing options. Twenty-four indicators are identified for the evaluation of car sharing options. Consistency index check of the comparison matrix is carried out. Sensitivity analysis experiments are conducted to find the effect of indicators. Abstract: We develop an improved approach to evaluate car sharing options under uncertain environments with the combination of Fuzzy Analytic Hierarchy Process (F-AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS), which consists of three steps. In the first step, we propose a SCUMN (Specific, Comprehensive, Understandable, Measurable, and Neutral) methodology to identify appropriate indicators and obtain a final list of 24 indicators according to their relevance to car sharing options. In the second step, we determine the weight of each indicator with F-AHP and conduct consistency check of the comparison matrix of selected indicators. In the third step, comparison of different options is performed with selected indicators and F-TOPSIS. A case study is provided to validate the proposed approach. Twenty-four indicators are identified to evaluate five different car sharing options and rank them according to their closeness coefficients in decreasing order. And thirty-one sensitivity analysis experiments are conducted to figure out the influence of indicators on decision making. The experimental results show that the proposed approach is capable of evaluating car sharing options with uncertainty and vagueness. F-AHP is able to determine the weight for each selected indicator and F-TOPSIS demonstrates its advantage in comparing potential options.