Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model
Urban rail transit has played an important role in big and crowded cities. Providing services with high levels of customer satisfaction is essential in order to increase the sharing rate of urban rail transit and to reduce traffic congestion by shifting people away from private car use. Therefore, i...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2018/4205136 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849468049725325312 |
|---|---|
| author | Yuning Wang Zhe Zhang Hui Sun |
| author_facet | Yuning Wang Zhe Zhang Hui Sun |
| author_sort | Yuning Wang |
| collection | DOAJ |
| description | Urban rail transit has played an important role in big and crowded cities. Providing services with high levels of customer satisfaction is essential in order to increase the sharing rate of urban rail transit and to reduce traffic congestion by shifting people away from private car use. Therefore, it is of great significance to improve the customer satisfaction of urban rail transit. This paper presents an intuitionistic fuzzy group decision model to evaluate the customer satisfaction of urban rail transit. An evaluation indicator system including seven categories of indicators is established to measure passengers’ satisfaction. The overall customer satisfaction level of the urban rail transit lines is obtained by the intuitionistic fuzzy entropy and intuitionistic fuzzy weighted average (IFWA) operator. The intuitionistic fuzzy entropy is used to solve attribute weights and IFWA operator is used to solve the information aggregation. Drawing on Tianjin urban rail transit lines as a case study, the detailed analyses were conducted to evaluate the overall customer satisfaction level of five urban rail transit lines and as such suggesting remedy strategies. The results can help urban rail transit operation company to improve the service quality of urban rail transit. |
| format | Article |
| id | doaj-art-faad4e4c1ea74c9394a44b3ba69743de |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-faad4e4c1ea74c9394a44b3ba69743de2025-08-20T03:25:57ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/42051364205136Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision ModelYuning Wang0Zhe Zhang1Hui Sun2School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, ChinaSydney School of Architecture, Design and Planning, University of Sydney, NSW, AustraliaSchool of Management and Economics, Tianjin University, Tianjin, ChinaUrban rail transit has played an important role in big and crowded cities. Providing services with high levels of customer satisfaction is essential in order to increase the sharing rate of urban rail transit and to reduce traffic congestion by shifting people away from private car use. Therefore, it is of great significance to improve the customer satisfaction of urban rail transit. This paper presents an intuitionistic fuzzy group decision model to evaluate the customer satisfaction of urban rail transit. An evaluation indicator system including seven categories of indicators is established to measure passengers’ satisfaction. The overall customer satisfaction level of the urban rail transit lines is obtained by the intuitionistic fuzzy entropy and intuitionistic fuzzy weighted average (IFWA) operator. The intuitionistic fuzzy entropy is used to solve attribute weights and IFWA operator is used to solve the information aggregation. Drawing on Tianjin urban rail transit lines as a case study, the detailed analyses were conducted to evaluate the overall customer satisfaction level of five urban rail transit lines and as such suggesting remedy strategies. The results can help urban rail transit operation company to improve the service quality of urban rail transit.http://dx.doi.org/10.1155/2018/4205136 |
| spellingShingle | Yuning Wang Zhe Zhang Hui Sun Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model Discrete Dynamics in Nature and Society |
| title | Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model |
| title_full | Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model |
| title_fullStr | Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model |
| title_full_unstemmed | Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model |
| title_short | Assessing Customer Satisfaction of Urban Rail Transit Network in Tianjin Based on Intuitionistic Fuzzy Group Decision Model |
| title_sort | assessing customer satisfaction of urban rail transit network in tianjin based on intuitionistic fuzzy group decision model |
| url | http://dx.doi.org/10.1155/2018/4205136 |
| work_keys_str_mv | AT yuningwang assessingcustomersatisfactionofurbanrailtransitnetworkintianjinbasedonintuitionisticfuzzygroupdecisionmodel AT zhezhang assessingcustomersatisfactionofurbanrailtransitnetworkintianjinbasedonintuitionisticfuzzygroupdecisionmodel AT huisun assessingcustomersatisfactionofurbanrailtransitnetworkintianjinbasedonintuitionisticfuzzygroupdecisionmodel |