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Public Bus Transport Demand Elasticities in India

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  • Kaushik Deb
  • Massimo Filippini

Abstract

A number of static and dynamic specifications of a log-linear demand function for public transport are estimated using aggregate panel data for twenty-two Indian states over the period 1990 to 2001. In all cases, transit demand is significant and inelastic with respect to the fare. Service quality, approximated by the density of the coverage of the transport service, seems to be an important variable that affects demand. However, service quality improvements should also be preceded by a cost-benefit analysis. Finally, social and demographic variables highlight the complex nature of public bus transit demand in India. © 2013 LSE and the University of Bath

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  • Kaushik Deb & Massimo Filippini, 2013. "Public Bus Transport Demand Elasticities in India," Journal of Transport Economics and Policy, University of Bath, vol. 47(3), pages 419-436, September.
    • Handle: RePEc:tpe:jtecpo:v:47:y:2013:i:3:p:419-436
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    Cited by:

    1. Satyanarayan Kothe, 2014. "Price and Income Elasticity of Demand for Services in India: A Macro Analysis," EcoMod2014 7355, EcoMod.
    2. Gadepalli, Ravi & Tiwari, Geetam & Bolia, Nomes, 2020. "Role of user's socio-economic and travel characteristics in mode choice between city bus and informal transit services: Lessons from household surveys in Visakhapatnam, India," Journal of Transport Geography, Elsevier, vol. 88(C).
    3. Manel Daldoul & Sami Jarboui & Ahlem Dakhlaoui, 2016. "Public transport demand: dynamic panel model analysis," Transportation, Springer, vol. 43(3), pages 491-505, May.
    4. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    5. Atsushi Iimi, 2023. "Estimating the demand for informal public transport: evidence from Antananarivo, Madagascar," Public Transport, Springer, vol. 15(1), pages 129-168, March.
    6. Philippe Gagnepain & Marc Ivaldi & Catherine Muller-Vibes, 2011. "The Industrial Organization of Competition in Local Bus Services," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 32, Edward Elgar Publishing.
    7. Deepa, L. & Rawoof Pinjari, Abdul & Krishna Nirmale, Sangram & Srinivasan, Karthik K. & Rambha, Tarun, 2022. "A direct demand model for bus transit ridership in Bengaluru, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 126-147.
    8. Claudiu URSU & Alina MOROSANU, 2013. "Statistical Evaluation Of Regional Differences Regarding Passenger Cars Fleet Concentration From Romania, In 2007-2012," Romanian Statistical Review, Romanian Statistical Review, vol. 61(10), pages 13-22, November.
    9. Appelbaum, Elie & Berechman, Joseph, 1991. "Demand conditions, regulation, and the measurement of productivity," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 379-400, February.
    10. Deepa, L. & Pinjari, Abdul Rawoof & Nirmale, Sangram Krishna & Biswas, Mehek & Srinivasan, Karthik K., 2023. "The adverse impact of headway variability on bus transit ridership: Evidence from Bengaluru, India," Transport Policy, Elsevier, vol. 141(C), pages 343-356.
    11. Deb, Kaushik & Filippini, Massimo, 2011. "Estimating welfare changes from efficient pricing in public bus transit in India," Transport Policy, Elsevier, vol. 18(1), pages 23-31, January.

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    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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