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Comparative Cost Benefit Model Performance Analysis for Quality Assessment in Public Bus Transportation Services (MSRTC)

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  • Sunil R. Kewate
  • R R. Choudhari
  • Chaitali R. Choudhari

Abstract

The performance evaluation of any public transportation business mainly depends on the customer service satisfaction level of passengers (referred to as benefits to customer) and Projected or estimated cost of the business. A cost benefit analysis model is built up among the alternative of MSRTC and private bus transport services from the year of 2017 to 2022, and performance parameters NPV (Net Present Value), BC (Benefit to Cost) ratio and IRR (Internal Rate of Return) measured. The benefits here are associated directly with the services provided by the corporations. In the case study work, it is tries to choose better alternative for investment with constant the level of passenger satisfaction towards services provided by the public bus transportation in India (MSRTC) and Private Bus transport sector in Maharashtra using comparative cost benefit model. Further, study focuses on the measures from different transport industries in order to formulate the model and to turn their problems to maintain the passengers' loyalty and for the analysis purpose, first identify and measure the benefits of an action as well as costs associated with it, the model is formulated. once the model gets built up and then compare the data of two alternatives for the results after subtracting the costs from benefits. This presented study aims to find out the causes of a negative return on its investment therefore saving in and study the alternatives of investment due to which quality is affected based on the responses from a total of 4250 different respondents.

Suggested Citation

  • Sunil R. Kewate & R R. Choudhari & Chaitali R. Choudhari, 2025. "Comparative Cost Benefit Model Performance Analysis for Quality Assessment in Public Bus Transportation Services (MSRTC)," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 12(6), pages 31-38, December.
  • Handle: RePEc:etm:ijsrst:v12:y2025:i6:id:1252
    DOI: 10.32628/IJSRST25126291
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