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Evaluating City Bus Service Based on Zone of Tolerance of Expectation and Normalized Importance

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  • Kai‐Chieh Hu

Abstract

Improving the quality of the city bus service is an important topic for public transportation management. One way of measuring this improvement is to measure the gap between the passengers’ expectation and their perception. The expectation can be divided into desired service and adequate service, and the difference between these two is the tolerant zone of expectation. The present study has two purposes. The first is to propose a model for evaluating service quality based on the zone of tolerance of expectation (ZSQ). The second is to build an analytical framework for prioritizing attributes (NIZSQ, normalized importance--ZSQ analysis) through a quadrant analysis based on ZSQ and normalized importance. This research took the Taipei city bus service as an example. The data were collected by means of questionnaires. Statistical analysis was adopted to test the hypotheses. The result showed that the top two priorities for improvement are those attributes that are relevant to the interaction with the passengers, and the support from operations management.

Suggested Citation

  • Kai‐Chieh Hu, 2009. "Evaluating City Bus Service Based on Zone of Tolerance of Expectation and Normalized Importance," Transport Reviews, Taylor & Francis Journals, vol. 30(2), pages 195-217, March.
    • Handle: RePEc:taf:transr:v:30:y:2009:i:2:p:195-217
    DOI: 10.1080/01441640902884780
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    1. Abalo, Javier & Varela, Jesus & Manzano, Vicente, 2007. "Importance values for Importance-Performance Analysis: A formula for spreading out values derived from preference rankings," Journal of Business Research, Elsevier, vol. 60(2), pages 115-121, February.
    2. Oliver, Richard L. & Winer, Russell S., 1987. "A framework for the formation and structure of consumer expectations: Review and propositions," Journal of Economic Psychology, Elsevier, vol. 8(4), pages 469-499, December.
    3. Kurt Matzler & Elmar Sauerwein & Kenneth Heischmidt, 2003. "Importance-performance analysis revisited: the role of the factor structure of customer satisfaction," The Service Industries Journal, Taylor & Francis Journals, vol. 23(2), pages 112-129, March.
    4. Hensher, David A & Daniels, Rhonda, 1995. "Productivity measurement in the urban bus sector," Transport Policy, Elsevier, vol. 2(3), pages 179-194, July.
    5. Paul A. Dion & Rajshekhar Javalgi & Janet Dilorenzo-Aiss, 1998. "An Empirical Assessment Of The Zeithaml, Berry And Parasuraman Service Expectations Model," The Service Industries Journal, Taylor & Francis Journals, vol. 18(4), pages 66-86, October.
    6. Scott E. Sampson & MICHAEL J. SHOWALTER, 1999. "The Performance-Importance Response Function: Observations and Implications," The Service Industries Journal, Taylor & Francis Journals, vol. 19(3), pages 1-25, July.
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