Prioritizing Metro Service Quality Attributes to Enhance Commuter Experience: TOPSIS Ranking and Importance Satisfaction Analysis Methods

Transportation Research Record - Tập 2674 Số 6 - Trang 124-139 - 2020
B. C. Majumdar1, Dilum Dissanayake2, Avanindra Singh Rajput1, Yong Qi Saw2, Prasanta K. Sahu1
1Department of Civil Engineering, BITS Pilani Hyderabad Campus, Hyderabad, Telangana, India
2School of Engineering, Newcastle University, UK

Tóm tắt

A metro infrastructure, facility, and service quality investigation based on commuter perception was conducted in this study to explore and prioritize the key attributes influencing overall metro service quality in a typical Indian context. Based on the critical state-of-the-art review, 12 key attributes were identified and they were accommodated in a paper-based questionnaire to elicit commuter perception of importance and satisfaction by using a five-point Likert scale. Subsequently, TOPSIS, an extensively adopted multi-attribute decision-making technique, was carried out to rank the attributes with respect to perceived importance and satisfaction. Then an importance satisfaction analysis (ISA) was conducted to further classify the attributes in four quadrants based on their perceived degree of importance and satisfaction using an ISA matrix. Finally, the derived results from the TOPSIS and ISA analysis were combined and compared to obtain a prioritized set of attributes requiring intervention for better metro service quality in an Indian context. Results of this study clearly indicated the relative strengths and weaknesses of each metro service/infrastructure-specific attribute and presented the probable role of metro authorities for each of them. Attributes such as metro fare, connection to metro, and metro frequency were observed to be the most important, but were not performing satisfactorily, indicating that more emphasis is required on these attributes to improve the overall quality of travel by metro rail in an Indian context. Thus, this methodology would be instrumental in detecting a set of priority areas for improvement in metro rail services, which could contribute to retaining existing commuters and attracting new metro users.

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Tài liệu tham khảo

10.1016/j.tranpol.2005.02.008

10.1007/978-3-642-37030-4_5

Tri-County Metropolitan Transportation. Customer Satisfaction Index for the Mass Transit Industry: Transit IDEA Program. Transportation Research Board, National Research Council, 1995.

10.1002/mar.20163

10.1007/s11116-015-9615-0

Parasuraman A., 1988, Journal of Retail, 64, 12

10.5038/2375-0901.12.3.2

Doi K., 2003, Journal of the Eastern Asia Society for Transportation Studies, 5, 1408

10.1177/0361198105193000104

10.1108/02656710710720303

10.1016/j.tranpol.2007.04.004

10.1016/j.tra.2007.06.006

10.1016/j.tranpol.2010.09.003

10.1016/j.cie.2011.04.019

10.1016/j.tranpol.2014.09.005

Putra A. A., 2014, International Refereed Journal of Engineering and Science, 3, 38

10.3846/transport.2018.1570

Saw Y. Q., Dissanayake D., Ali F., Bentotage T. Investigating Passenger Satisfaction Towards Metro Infrastructures, Facilities and Services: How Does Satisfaction Vary in Relation to Socio-Demographic and Travel Related Attributes? Submitted for presentation and publication, Transportation Research Board Meeting, Washington D.C., 2020.

10.17226/24766

10.1177/097324700800400107

10.1108/17542731211215116

10.1061/(ASCE)UP.1943-5444.0000243

10.1108/TQM-03-2013-0037

10.1016/j.trpro.2016.11.057

10.1061/(ASCE)0742-597X(2002)18:4(194)

10.1016/j.buildenv.2006.11.019

10.1590/0101-7438.2018.038.02.0331

10.1007/978-3-642-48318-9

10.1016/j.tourman.2006.05.007

10.1177/002224297704100112

Khan O. A., 2007, Modelling Passenger Mode Choice Behaviour Using Computer Aided Stated Preference Data

Taherdoost H., 2017, International Journal of Economics and Management Systems, 2, 237

10.3846/13923730.2013.801922

10.1080/1478336032000090842