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Modelling the dynamics of bus use in a changing travel environment using panel data

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  • Kiron Chatterjee

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  • Kiron Chatterjee, 2011. "Modelling the dynamics of bus use in a changing travel environment using panel data," Transportation, Springer, vol. 38(3), pages 487-509, May.
    • Handle: RePEc:kap:transp:v:38:y:2011:i:3:p:487-509
    DOI: 10.1007/s11116-010-9312-y
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    References listed on IDEAS

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    1. Kiron Chatterjee & Kang-Rae Ma, 2009. "Time taken for residents to adopt a new public transport service: examining heterogeneity through duration modelling," Transportation, Springer, vol. 36(1), pages 1-25, January.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    4. Víctor Cantillo & Juan de Dios Ortúzar & Huw C. W. L. Williams, 2007. "Modeling Discrete Choices in the Presence of Inertia and Serial Correlation," Transportation Science, INFORMS, vol. 41(2), pages 195-205, May.
    5. Kitamura, Ryuichi & Bunch, David S., 1990. "Heterogeneity and State Dependence in Household Car Ownership: A Panel Analysis Using Ordered-Response Probit Models with Error Components," University of California Transportation Center, Working Papers qt0qv4q55r, University of California Transportation Center.
    6. Rishin Roy & Pradeep K. Chintagunta & Sudeep Haldar, 1996. "A Framework for Investigating Habits, “The Hand of the Past,” and Heterogeneity in Dynamic Brand Choice," Marketing Science, INFORMS, vol. 15(3), pages 280-299.
    7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    8. Chandra R. Bhat, 2000. "Incorporating Observed and Unobserved Heterogeneity in Urban Work Travel Mode Choice Modeling," Transportation Science, INFORMS, vol. 34(2), pages 228-238, May.
    9. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    10. Mintesnot Woldeamanuel & Rita Cyganski & Angelika Schulz & Andreas Justen, 2009. "Variation of households ’ car ownership across time: application of a panel data model," Transportation, Springer, vol. 36(4), pages 371-387, July.
    11. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    12. Dargay, Joyce & Hanly, Mark, 2007. "Volatility of car ownership, commuting mode and time in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 934-948, December.
    13. Karthik Srinivasan & P. Bhargavi, 2007. "Longer-term changes in mode choice decisions in Chennai: a comparison between cross-sectional and dynamic models," Transportation, Springer, vol. 34(3), pages 355-374, May.
    14. Ryuichi Kitamura, 2009. "A dynamic model system of household car ownership, trip generation, and modal split: model development and simulation experiment," Transportation, Springer, vol. 36(6), pages 711-732, November.
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    Cited by:

    1. Forsey, David & Habib, Khandker Nurul & Miller, Eric J. & Shalaby, Amer, 2013. "Evaluating the impacts of a new transit system on commuting mode choice using a GEV model estimated to revealed preference data: A case study of the VIVA system in York Region, Ontario," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 1-14.
    2. González, Rosa Marina & Marrero, Ángel Simón & Cherchi, Elisabetta, 2017. "Testing for inertia effect when a new tram is implemented," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 150-159.
    3. Kun Gao & Minhua Shao & Kay W. Axhausen & Lijun Sun & Huizhao Tu & Yihong Wang, 2022. "Inertia effects of past behavior in commuting modal shift behavior: interactions, variations and implications for demand estimation," Transportation, Springer, vol. 49(4), pages 1063-1097, August.
    4. Maria Fernanda Guajardo Ortega & Heike Link, 2023. "Estimating Mode Choice Inertia and Price Elasticities after a Price Intervention – Evidence from Three Months of almost Fare-free Public Transport in Germany," Discussion Papers of DIW Berlin 2052, DIW Berlin, German Institute for Economic Research.
    5. Jahanshahi, Kaveh & Jin, Ying & Williams, Ian, 2015. "Direct and indirect influences on employed adults’ travel in the UK: New insights from the National Travel Survey data 2002–2010," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 288-306.
    6. Creemers, Lieve & Tormans, Hans & Bellemans, Tom & Janssens, Davy & Wets, Geert & Cools, Mario, 2015. "Knowledge of the concept Light Rail Transit: Exploring its relevance and identification of the determinants of various knowledge levels," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 31-43.
    7. Kim, Seheon & Rasouli, Soora & Timmermans, Harry & Yang, Dujuan, 2018. "Estimating panel effects in probabilistic representations of dynamic decision trees using bayesian generalized linear mixture models," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 168-184.
    8. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    9. Javier D. Donna, 2021. "Measuring long‐run gasoline price elasticities in urban travel demand," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 945-994, December.
    10. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90260, University Library of Munich, Germany.
    11. Preston, John, 2016. "Big buses in a small country: The prospects for bus services in Wales," Research in Transportation Economics, Elsevier, vol. 59(C), pages 379-387.
    12. Thorhauge, Mikkel & Swait, Joffre & Cherchi, Elisabetta, 2020. "The habit-driven life: Accounting for inertia in departure time choices for commuting trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 272-289.
    13. Rubin, Ori & Mulder, Clara H. & Bertolini, Luca, 2014. "The determinants of mode choice for family visits – evidence from Dutch panel data," Journal of Transport Geography, Elsevier, vol. 38(C), pages 137-147.
    14. Grigolon, Anna B. & Borgers, Aloys W.J. & Kemperman, Astrid D.A.M. & Timmermans, Harry J.P., 2014. "Vacation length choice: A dynamic mixed multinomial logit model," Tourism Management, Elsevier, vol. 41(C), pages 158-167.
    15. Scheiner, Joachim & Chatterjee, Kiron & Heinen, Eva, 2016. "Key events and multimodality: A life course approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 148-165.
    16. Chatterjee, Kiron & Sherwin, Henrietta & Jain, Juliet, 2013. "Triggers for changes in cycling: the role of life events and modifications to the external environment," Journal of Transport Geography, Elsevier, vol. 30(C), pages 183-193.
    17. Lisa Döring & Maarten Kroesen & Christian Holz-Rau, 2019. "The role of parents’ mobility behavior for dynamics in car availability and commute mode use," Transportation, Springer, vol. 46(3), pages 957-994, June.

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