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Understanding the determinants of demand for public transport: Evidence from suburban rail operations in five divisions of Indian Railways

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  • Rahman, Syed
  • Balijepalli, Chandra

Abstract

This paper analyses suburban rail fare elasticity and compares the results across five suburban divisional operations of the Indian Railways in three cities viz., Chennai, Kolkata and Mumbai. The three cities chosen have a highly varying modal share of public transport trips and thus offer interesting insights into the attitudes of trip makers towards the changes in operational variables such as fares, service levels. This paper contributes towards understanding of the determinants of demand for public transport in a developing country and applies econometric methods involving static and dynamic modelling methodologies. This research addresses the question of smaller sample sizes which constrain the use of standard regression approaches and applies a bootstrapping method which substitutes for traditional assumptions on distributions and asymptotic results. It was found that the suburban rail demand is inelastic to fare which indicates that the revenue would increase with an increase in fare. Finally, the paper illustrates the use of computed elasticities by estimating the demand for suburban rail in Kolkata.

Suggested Citation

  • Rahman, Syed & Balijepalli, Chandra, 2016. "Understanding the determinants of demand for public transport: Evidence from suburban rail operations in five divisions of Indian Railways," Transport Policy, Elsevier, vol. 48(C), pages 13-22.
    • Handle: RePEc:eee:trapol:v:48:y:2016:i:c:p:13-22
    DOI: 10.1016/j.tranpol.2016.02.006
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    1. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2003. "The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 605-627, August.
    2. Wardman, Mark & Lythgoe, William & Whelan, Gerard, 2007. "Rail Passenger Demand Forecasting: Cross-Sectional Models Revisited," Research in Transportation Economics, Elsevier, vol. 20(1), pages 119-152, January.
    3. Goodwin, P. B. & Williams, H. C. W. L., 1985. "Public transport demand models and elasticity measures: An overview of recent British experience," Transportation Research Part B: Methodological, Elsevier, vol. 19(3), pages 253-259, June.
    4. Paulley, Neil & Balcombe, Richard & Mackett, Roger & Titheridge, Helena & Preston, John & Wardman, Mark & Shires, Jeremy & White, Peter, 2006. "The demand for public transport: The effects of fares, quality of service, income and car ownership," Transport Policy, Elsevier, vol. 13(4), pages 295-306, July.
    5. Mark Wardman, 2014. "Price Elasticities of Surface Travel Demand A Meta-analysis of UK Evidence," Journal of Transport Economics and Policy, University of Bath, vol. 48(3), pages 367-384, September.
    6. Pucher, John & Korattyswaropam, Nisha & Mittal, Neha & Ittyerah, Neenu, 2005. "Urban transport crisis in India," Transport Policy, Elsevier, vol. 12(3), pages 185-198, May.
    7. Wardman, Mark, 2006. "Demand for rail travel and the effects of external factors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(3), pages 129-148, May.
    8. Batley, Richard & Dargay, Joyce & Wardman, Mark, 2011. "The impact of lateness and reliability on passenger rail demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(1), pages 61-72, January.
    9. Welde, Morten, 2011. "Demand and operating cost forecasting accuracy for toll road projects," Transport Policy, Elsevier, vol. 18(5), pages 765-771, September.
    10. Sudhakara Reddy, B. & Balachandra, P., 2012. "Urban mobility: A comparative analysis of megacities of India," Transport Policy, Elsevier, vol. 21(C), pages 152-164.
    11. Joyce M. Dargay & Mark Hanly, 2002. "The Demand for Local Bus Services in England," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 73-91, January.
    12. de Grange, Louis & González, Felipe & Muñoz, Juan Carlos & Troncoso, Rodrigo, 2013. "Aggregate estimation of the price elasticity of demand for public transport in integrated fare systems: The case of Transantiago," Transport Policy, Elsevier, vol. 29(C), pages 178-185.
    13. Bharill, Rohit & Rangaraj, Narayan, 2008. "Revenue management in railway operations: A study of the Rajdhani Express, Indian Railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1195-1207, November.
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