URBAN RAIL TRANSIT PASSENGER SERVICE QUALITY EVALUATION BASED ON THE KANO–ENTROPY–TOPSIS MODEL: THE CHINA CASE

Transport - Tập 37 Số 2 - Trang 98-109 - 2021
Wencheng Huang1,2,3, Yue Zhang1,2, Yifei Xu2,4, Zhang Rui2,4, Minhao Xu2,4, Yang Wang5
1National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, China
2School of Transportation and Logistics, Southwest Jiaotong University, China
3School of Transportation and Logistics, Southwest Jiaotong University, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, China; National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, China
4School of Transportation and Logistics, Southwest Jiaotong University, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, China
5China Railway Engineering Consulting Group Co. Ltd., China

Tóm tắt

In order to evaluate the URTPSQ (Urban Rail Transit Passenger Service Quality) comprehensively, find the shortage of URTPSQ, find out the difference between the actual service situation and the passenger’s expectation and demand,and provide passengers with better travel services, a passenger-oriented KANO–Entropy–TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed and applied in this paper. Firstly, a KANO model is applied to select the service quality indicators from the 24 URTPSQ evaluation sub-indicators, according to the selection results, the KANO service quality indicators of URTPSQ are constructed. Then the sensitivity of the KANO service quality indicators based on the KANO model are calculated and ranked, the PS (Passenger Satisfaction) of each KANO service quality indicator by using the Entropy–TOPSIS method is calculated and ranked. Based on the difference between the sensitivity degree rank and the satisfaction degree rank of each KANO service quality indicator, determine the service quality KANO indicators of the URTPSQ that need to be improved significantly. A case study is conducted by taking the Chengdu subway system in China as a background. The results show that the Chengdu subway operation enterprises should pay attention to the must-be demand first, then the one-dimensional demand, finally the attractive demand. The three indicators, including transfer on the same floor in the station, service quality of staffs of urban rail transit enterprises,and cleanness in the station and passenger coach, need to be improved urgently. For the managers and operators of urban rail transit system, the passengers’ must-be demand should be satisfied first if the KANO model is applied to evaluate the service. The indicators with highest sensitivity degree and lowest TOPSIS value should be improved based on the KANO–Entropy–TOPSIS model.

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Tài liệu tham khảo

10.1016/j.cie.2011.04.019

10.1016/j.tranpol.2017.02.001

10.1016/j.tra.2015.03.029

10.1353/urb.2006.0001

10.1016/j.tra.2008.08.002

CTA URTPC. 2011. Metro Operational Performance Evaluation System: MOPES 2.0. 2011-GZ-001. China Transportation Association (CTA), Urban Rail Transit Professional Committee (URTPC). (in Chinese).

10.1080/15568318.2013.849318

10.3141/2538-09

10.1016/j.tra.2015.05.018

10.1016/j.tra.2011.09.018

10.1016/j.proeng.2016.01.230

10.1016/j.cities.2019.102474

Garrett, T. A. 2004. Light Rail Transit in America: Policy Issues and Prospects for Economic Development. Research Department, Federal Reserve Bank of St. Louis, St. Louis, MO, US.

10.1016/j.tra.2013.01.041

10.1016/j.cie.2017.10.009

10.1155/2017/7824835

Huang, W.; Shuai, B.; Sun, Y.; Li, M.; Pang, L. 2018a. Evaluation of risk in railway dangerous goods transportation system by integrated entropy-TOPSIS-coupling coordination method, China Safety Science Journal 28(2): 134-138. (in Chinese). https://www.cnki.net/kcms/doi/10.16265/j.cnki.issn1003-3033.2018.02.023.html

10.1016/j.tra.2018.03.025

10.1155/2017/8701081

Huang, W.; Shuai, B.; Zuo, J.; Wang, L.; Mao, J. 2016. Corrected entropy based operation performance evaluation about urban rail transportation non-networks system, Journal of Transportation Systems Engineering and Information Technology 16(6): 115-121. (in Chinese).

10.1016/j.trb.2014.09.003

Kano, N.; Seraku, N.; Takahashi, F.; Tsuji, S.-C. 1984. Attractive quality and must-be quality, The Journal of the Japanese Society for Quality Control 14(2): 147-156. (in Japanese).

10.1016/j.ejor.2016.11.052

10.1080/09544820903173180

10.1016/j.tranpol.2006.09.003

10.1016/j.tra.2007.06.006

10.1016/j.sbspro.2013.12.876

10.1016/j.jue.2007.02.001

SC PRC. 2012. Guiding Opinions on Priority Urban Development of Public Transport by the State Council of the People's Republic of China. State Council of the People's Republic of China (SC PRC). (in Chinese). Available from Internet: http://english.www.gov.cn

10.1016/j.trpro.2017.01.094

10.1145/584091.584093

Shannon, C. E.; Weaver, W., 1971, The Mathematical Theory of Communication. 16th Edition

10.1016/j.tranpol.2015.10.006

10.1016/j.proeng.2017.06.144

10.1016/j.tra.2016.09.006

10.1016/j.jtrangeo.2004.10.005

10.1016/j.ejor.2016.12.044

10.1080/00207543.2013.825742

10.1007/978-3-642-45486-8

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Transport

Tập 37 Số 2

98-109

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