Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model
The purpose of this study is to examine how the characteristics of domestic tourists and attributes of travel modes influence the tourists’ modal choice to Nha Trang, Viet Nam by applying the multinomial probit model. The analysis is based on primary data surveyed from tourists visiting Nha Trang in March, 2011. A total of 402 valid samples were used from 554 initial samples. The study provides several important findings concerning tourists’ modal choice. Travel time per kilometer, per-kilometer travel cost to income ratio, mode quality variables, and income are key elements in explaining the tourists’ modal choice decision. In addition, tourists with a lower income tend to be more sensitive to change in per-kilometer cost. Furthermore, the high-income tourists are much more likely to choose plane or train rather than coach. Understanding the tourists’ modal choice behavior may help tourism transport companies to develop appropriate marketing strategies.
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Volume (Year): 49 (2013)
Issue (Month): C ()
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- John F. Geweke & Michael P. Keane & David E. Runkle, 1994.
"Alternative computational approaches to inference in the multinomial probit model,"
170, Federal Reserve Bank of Minneapolis.
- Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-32, November.
- Swait, Joffre & Adamowicz, Wiktor, 2001. " The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching," Journal of Consumer Research, Oxford University Press, vol. 28(1), pages 135-48, June.
- Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
- Koppelman, Frank S. & Bhat, Chandra R. & Schofer, Joseph L., 1993. "Market research evaluation of actions to reduce suburban traffic congestion: Commuter travel behavior and response to demand reduction actions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(5), pages 383-393, September.
- Horowitz, Joel L., 1991. "Reconsidering the multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 25(6), pages 433-438, December.
- Bolduc, Denis, 1999. "A practical technique to estimate multinomial probit models in transportation," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 63-79, February.
- Commins, Nicola & Nolan, Anne, 2008.
"The Determinants of Mode of Transport to Work in the Greater Dublin Area,"
WP268, Economic and Social Research Institute (ESRI).
- Commins, Nicola & Nolan, Anne, 2011. "The determinants of mode of transport to work in the Greater Dublin Area," Transport Policy, Elsevier, vol. 18(1), pages 259-268, January.
- Weeks, Melvyn, 1997. " The Multinomial Probit Model Revisited: A Discussion of Parameter Estimability, Identification and Specification Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 11(3), pages 297-320, September.
- Recker, Wilfred W. & Golob, Thomas F., 1979. "A non-compensatory model of transportation behavior based on sequential consideration of attributes," Transportation Research Part B: Methodological, Elsevier, vol. 13(4), pages 269-280, December.
- Bhat, Chandra R., 1998. "Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 495-507, September.
- Richard Paap & Philip Hans Franses, 2000. "A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.
- Kraft, John & Kraft, Arthur, 1974. "Empirical estimation of the value of travel time using multi mode choice models," Journal of Econometrics, Elsevier, vol. 2(4), pages 317-326, December.
- Swait, Joffre & Ben-Akiva, Moshe, 1987. "Empirical test of a constrained choice discrete model: Mode choice in São Paulo, Brazil," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 103-115, April.
- Lisa Zorn & Elizabeth Sall & Daniel Wu, 2012. "Incorporating crowding into the San Francisco activity-based travel model," Transportation, Springer, vol. 39(4), pages 755-771, July.
- Choo, Sangho & Mokhtarian, Patricia L., 2004.
"What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice,"
Transportation Research Part A: Policy and Practice,
Elsevier, vol. 38(3), pages 201-222, March.
- Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," University of California Transportation Center, Working Papers qt7vg1057g, University of California Transportation Center.
- McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
- McFadden, Daniel, 1989.
"A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration,"
Econometric Society, vol. 57(5), pages 995-1026, September.
- Daniel McFadden, 1987. "A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Working papers 464, Massachusetts Institute of Technology (MIT), Department of Economics.
- Barff, Richard & MacKay, David & Olshavsky, Richard W, 1982. " A Selective Review of Travel-Mode Choice Models," Journal of Consumer Research, Oxford University Press, vol. 8(4), pages 370-80, March.
- H C W L Williams, 1977. "On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit," Environment and Planning A, SAGE Publishing, vol. 9(3), pages 285-344, March.
- Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
- Kenneth Train, 1980. "A Structured Logit Model of Auto Ownership and Mode Choice," Review of Economic Studies, Oxford University Press, vol. 47(2), pages 357-370.
- Pradeep K. Chintagunta, 1992. "Estimating a Multinomial Probit Model of Brand Choice Using the Method of Simulated Moments," Marketing Science, INFORMS, vol. 11(4), pages 386-407.
- Bhat, Chandra R., 1995. "A heteroscedastic extreme value model of intercity travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 29(6), pages 471-483, December.
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