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Public bus transport demand elasticities in India

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  • Filippini Massimo

    (Istituto Mecop, Università della Svizzera italiana)

  • Deb Kaushik

    (TERI University, New Delhi, India)

Abstract

A number of static and dynamic specifications of a log linear demand function for public transport are estimated using aggregate panel data for 22 Indian states over the period 1990 to 2001. Demand has been defined as total passenger kilometers to capture actual market transactions, while the regressors include public transit fare, per capita income, service quality, and other demographic and social variables. In all cases, transit demand is significant and inelastic to the fare. Service quality is the most significant policy variable. Finally, social and demographic variables highlight the complex nature of public bus transit demand in India.

Suggested Citation

  • Filippini Massimo & Deb Kaushik, 2010. "Public bus transport demand elasticities in India," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1002, USI Università della Svizzera italiana.
    • Handle: RePEc:lug:wpaper:1002
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Satyanarayan Kothe, 2014. "Price and Income Elasticity of Demand for Services in India: A Macro Analysis," EcoMod2014 7355, EcoMod.
    5. 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).
    6. Manel Daldoul & Sami Jarboui & Ahlem Dakhlaoui, 2016. "Public transport demand: dynamic panel model analysis," Transportation, Springer, vol. 43(3), pages 491-505, May.
    7. 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.
    8. Atsushi Iimi, 2023. "Estimating the demand for informal public transport: evidence from Antananarivo, Madagascar," Public Transport, Springer, vol. 15(1), pages 129-168, March.
    9. 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.
    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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    More about this item

    Keywords

    Demand Elasticities; Dynamic Panel Data; Bus Transport; India;
    All these keywords.

    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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