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Sustainable benchmarking of a public transport system using analytic hierarchy process and fuzzy logic: a case study of Hyderabad, India

Pradeep Chaitanya Jasti () and V. Vinayaka Ram ()
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Pradeep Chaitanya Jasti: BITS Pilani, Hyderabad Campus
V. Vinayaka Ram: BITS Pilani, Hyderabad Campus

Public Transport, 2019, vol. 11, issue 3, No 2, 457-485

Abstract: Abstract To achieve a well-balanced sustainable public transport system in an Indian scenario, a thorough performance assessment and benchmarking of existing systems in conventional and sustainable dimensions is necessary. Although institutionalisation of sustainable benchmarking of public transport systems is habituated across the globe, it is not largely practised in India. Based on this, we aim at developing a comprehensive mode-specific benchmarking framework for the urban bus system under Indian conditions with a case study of Hyderabad city. The developed framework consists of 29 evaluators structured into eight indicator groups. As the significance of these indicator groups and evaluators varies in the framework, the same has been determined by an expert opinion survey by applying multi-criteria decision-making techniques such as ‘analytic hierarchy process’ and ‘direct weighting.’ The assessment revealed that the overall performance of the urban bus system is approximately 70%. The parameters associated with the sectors of ‘passenger information systems’ and ‘social sustainability’ were found to underperform and required improvement. A better performance was observed among the service- and quality-oriented sectors. The associated intangibility in weighting and ranking during the process of benchmarking was addressed through the application of a fuzzy logic technique, and the ‘overall normalised rate of performance’ of the urban bus system was determined to be 74%. Based on these factors, the present study achieves a successful development and application of mode-specific benchmarking of public transport systems in the Indian context.

Keywords: Sustainable benchmarking; Public transportation; Performance evaluation; AHP; Expert opinion; Fuzzy logic (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s12469-019-00219-8

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