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Assessment of Passenger Satisfaction with Public Bus Transport Services: A Case Study of Lucknow City (India)

Abstract

The main aim of this study is threefold. First, it tries to assess the passenger satisfaction with public bus transport services in the city of Lucknow in India. Second, it tries to examine the service quality attributes that influence the passenger satisfaction. Third, it tries to evaluate the relative importance of service quality attributes to find out the priority for service quality improvements to enhance passenger satisfaction. The study is based on a survey of objective as well as subjective questions conducted between May and July 2014. Five major bus stops of Lucknow were selected for the survey. Total 148 respondents were randomly selected to elicit their overall satisfaction and factors that influence their satisfaction in the use of public bus transport services in Lucknow using a self-rated questionnaire. The collected sample of responses is subjected to principal component analysis, a statistical technique for dimensionality reduction of the dataset, and descriptive analysis. The result of theses analyses shows that passengers are mostly dissatisfied with public bus transport services in Lucknow. Using principal component analysis, five underlying factors were extracted that influenced passenger satisfaction with public bus transport services in the city. Out of these five factors, comfort and safety has the greatest impact on overall satisfaction, followed by the adequacy of capacity of public bus transport services, orderly and clean environment inside buses, elegant design of buses and bus stops, and accessibility to public bus transport services in the city. The study thus provides a direction for public bus transport administration in the city to understand the gaps that exist and try to fill them to improve its services so that passenger satisfaction can be enhanced and consequently more people can be attracted towards public bus transport.

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Modeling systems thinking in action among higher education leaders with fuzzy multi-criteria decision making

), “Systemic thinking and education leadership: Some considerations. “ International Electronic Journal of Leadership in Learning. Enrique, H.V. (2004). “Fuzzy qualitative model to evaluate the quality on the web. In: Modeling decisions for artificial intelligence”, First international conference. Barcelona,Spain: Springer-Verlag: Berlin Heidelberg, pp.15-27. Furst-Bowe, J. (2011), “Systems thinking: Critical to quality improvement in higher education.” Quality Approaches in Higher Education, Vol. 2, No. 2, pp. 2-5. Frank, M. (2010), “Assessing the interest

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