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Constructing a mixed-logit model with market positioning to analyze the effects of new mode introduction

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  • Yang, Chih-Wen
  • Sung, Yen-Ching

Abstract

This study aims to investigate how the introduction of high-speed rail (HSR) influences traveler choice behavior and the market structure in the western corridor of Taiwan. A new mixed-logit model with factor decomposition is constructed to analyze the market positioning of the existing modes and HSR; the data is collected using the stated preference method. The empirical results show that travel cost is the major factor in market positioning. After the introduction of HSR, travelers’ mode preference did not change, whereas locations across modes on the market-positioning map as well as some coefficients of the explanatory variables changed.

Suggested Citation

  • Yang, Chih-Wen & Sung, Yen-Ching, 2010. "Constructing a mixed-logit model with market positioning to analyze the effects of new mode introduction," Journal of Transport Geography, Elsevier, vol. 18(1), pages 175-182.
  • Handle: RePEc:eee:jotrge:v:18:y:2010:i:1:p:175-182
    DOI: 10.1016/j.jtrangeo.2009.01.005
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    1. Chintagunta, Pradeep K., 1999. "Measuring the effects of new brand introduction on inter-brand strategic interaction," European Journal of Operational Research, Elsevier, vol. 118(2), pages 315-331, October.
    2. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    3. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    4. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    6. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, October.
    7. Hensher, David A. & Rose, John M. & Greene, William H., 2008. "Combining RP and SP data: biases in using the nested logit ‘trick’ – contrasts with flexible mixed logit incorporating panel and scale effects," Journal of Transport Geography, Elsevier, vol. 16(2), pages 126-133.
    8. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    9. Román, Concepción & Espino, Raquel & Martín, Juan Carlos, 2007. "Competition of high-speed train with air transport: The case of Madrid–Barcelona," Journal of Air Transport Management, Elsevier, vol. 13(5), pages 277-284.
    10. Greene, William H. & Hensher, David A. & Rose, John, 2006. "Accounting for heterogeneity in the variance of unobserved effects in mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 75-92, January.
    11. Terry Elrod, 1988. "Choice Map: Inferring a Product-Market Map from Panel Data," Marketing Science, INFORMS, vol. 7(1), pages 21-40.
    12. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    13. Hensher, David A., 1997. "A practical approach to identifying the market potential for high speed rail: A case study in the Sydney-Canberra corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(6), pages 431-446, November.
    14. Lee G. Cooper, 1988. "Competitive Maps: The Structure Underlying Asymmetric Cross Elasticities," Management Science, INFORMS, vol. 34(6), pages 707-723, June.
    15. Chandra R. Bhat, 1997. "An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel," Transportation Science, INFORMS, vol. 31(1), pages 34-48, February.
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    Cited by:

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    2. Viteri Mejía, César & Brandt, Sylvia, 2015. "Managing tourism in the Galapagos Islands through price incentives: A choice experiment approach," Ecological Economics, Elsevier, vol. 117(C), pages 1-11.
    3. Li, Xiaowei & Tang, Junqing & Hu, Xiaojiao & Wang, Wei, 2020. "Assessing intercity multimodal choice behavior in a Touristy City: A factor analysis," Journal of Transport Geography, Elsevier, vol. 86(C).

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