Fuzzy Analytic Hierarchy Process Used to Determine the Significance of the Contributing Factors for Generalized Travel Satisfaction

Lin Zhao, Hongzhen Zhu, Dongmei Liu (), Liping Yang and Xiaohua Zhao
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Lin Zhao: Research Institute of Highway, MOT, Transportation Industry Research and Development Center of Big Data Processing and Application Technologies for Comprehensive Transport, (HSTG), Beijing 100088, China
Hongzhen Zhu: Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China
Dongmei Liu: Research Institute of Highway, MOT, Transportation Industry Research and Development Center of Big Data Processing and Application Technologies for Comprehensive Transport, (HSTG), Beijing 100088, China
Liping Yang: Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China
Xiaohua Zhao: Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China

Sustainability, 2022, vol. 14, issue 18, 1-17

Abstract: This study develops the Generalized Satisfaction with Travel Scale covering travelers’ all-round emotional experience and cognitive evaluation. After checking the validity by factor analysis, the key influencing factors are extracted by optimal scale regression, and then the influence degree of key influencing factors is determined based on the Analytic Hierarchy Process. The reliability and validity of the developed Generalized Satisfaction with Travel Scale meet the requirements. The dynamic travel parameters (travel pattern, travel duration, etc.) (βs 1 = 0.448) have the most important impact on generalized travel satisfaction, followed by the demographic information (age, occupation, etc.) (βs 2 = 0.220) and static travel parameters (travel period, travel purpose, etc.) (βs 3 = 0.178), whereas the main travel areas (residential area, work/study area) (βs 4 = 0.154) have the weakest influence. This study aims at developing a Generalized Satisfaction with Travel Scale for Chinese travelers and exploring the influencing factors so as to provide an efficient travel experience survey mechanism for relevant departments.

Keywords: travel behavior; Satisfaction with Travel Scale; travel satisfaction; travel emotional experience; Analytic Hierarchy Process (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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