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First published online January 1, 2017

Mediation Effects of Income on Travel Mode Choice: Analysis of Short-Distance Trips Based on Path Analysis with Multiple Discrete Outcomes

Hong T. A. Nguyen [email protected], Makoto Chikaraishi, Akimasa Fujiwara, and Junyi ZhangView all authors and affiliations
Volume 2664, Issue 1
https://doi.org/10.3141/2664-03

Abstract

Effects of income on travel behavior have been widely examined in the literature; however, a majority of existing studies focused mainly on the direct effects of income and neglected the indirect effects. This focus is especially true in the context of developing countries in which income per capita is increasing rapidly. Effects of income on travel behavior may be observed through its impacts on other life choices. Such indirect effects are called “mediation effects” in this study. To fill the foregoing research gap, this study focused on travel mode choice in the Hanoi metropolitan area of Vietnam and developed a path model with multiple discrete choices. In the path model, mediation effects of income on travel mode choice were captured by modeling residential location choice as a discrete mediator that generated nonlinear indirect effects of income on mode choice (the proposed model is called the “mediation model”). As a comparison, a joint model of residential location and travel mode choices was built with only direct effects of income on both types of choice. Based on data collected at three new urban areas in Hanoi in 2015, model estimation results confirm the existence of both direct effects and mediation effects of income on mode choice. Simulation analyses further show that as income increases, the share of motorcycles sharply decreases up to a certain level of income; however, it rises after that level.

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References

1. Jara-Díaz S. R. Income and Taste in Mode Choice Models: Are They Surrogates? Transportation Research Part B: Methodological, Vol. 25, No. 5, 1991, pp. 341–350. https://doi.org/10.1016/0191-2615(91)90027-G.
Google Scholar
2. Jara-Díaz S. R., and Videla J. Detection of Income Effect in Mode Choice: Theory and Application. Transportation Research Part B: Methodological, Vol. 23, No. 6, 1989, pp. 393–400. https://doi.org/10.1016/0191-2615(89)90040-4.
Google Scholar
3. Zhang J., Fujiwara A., and Thein S. Capturing Travelers’ Stated Mode Choice Preferences Under Influence of Income in Yangon City, Myanmar. Journal of Transportation Systems Engineering and Information Technology, Vol. 8, No. 4, 2008, pp. 49–62. https://doi.org/10.1016/S1570-6672(08)60032-X.
Google Scholar
4. Srinivasan S., and Rogers P. Travel Behavior of Low-Income Residents: Studying Two Contrasting Locations in the City of Chennai, India. Journal of Transport Geography, Vol. 13, No. 3, 2005, pp. 265–274. https://doi.org/10.1016/j.jtrangeo.2004.07.008.
Google Scholar
5. Srinivasan K., Pradhan G., and Naidu G. Commute Mode Choice in a Developing Country: Role of Subjective Factors and Variations in Responsiveness Across Captive, Semicaptive, and Choice Segments. Transportation Research Record: Journal of the Transportation Research Board, No. 2038, 2007, pp. 53–61. https://doi.org/10.3141/2038-07.
Google Scholar
6. Abane A. Mode Choice for the Journey to Work Among Formal Sector Employees in Accra, Ghana. Journal of Transport Geography, Vol. 1, No. 4, 1993, pp. 219–229. https://doi.org/10.1016/0966-6923(93)90046-3.
Google Scholar
7. Enam A., and Choudhury C. Methodological Issues in Developing Mode Choice Models for Dhaka, Bangladesh. Transportation Research Record: Journal of the Transportation Research Board, No. 2239, 2011, pp. 84–92. https://doi.org/10.3141/2239-10.
Google Scholar
8. Srinivasan K., Bhargav P., Ramadurai G., Muthuram V., and Srinivasan S. Determinants of Changes in Mobility and Travel Patterns in Developing Countries: Case Study of Chennai, India. Transportation Research Record: Journal of the Transportation Research Board, No. 2038, 2007, pp. 42–52. https://doi.org/10.3141/2038-06.
Google Scholar
9. Pan H., Shen Q., and Zhang M. Influence of Urban Form on Travel Behaviour in Four Neighbourhoods of Shanghai. Housing Studies, Vol. 46, No. 2, 2009, pp. 275–294.
Google Scholar
10. Alpizar F., and Carlsson F. Policy Implications and Analysis of the Determinants of Travel Mode Choice: An Application of Choice Experiments to Metropolitan Costa Rica. Environment and Development Economics, Vol. 8, No. 04, 2003, pp. 603–619. https://doi.org/10.1017/S1355770X0300329.
Google Scholar
11. Kumar M., and Rao K. K. Disaggregate Mode Choice and Departure Time Choice Models for Thane City of Mumbai Metropolitan Region, India. Presented at 11th World Conference on Transport Research, University of California, Berkeley, 2007.
Google Scholar
12. Koppelman F. S., and Bhat C. A Self-Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models. FTA, U.S. Department of Transportation, 2006.
Google Scholar
13. Yagi S., and Mohammadian A. Joint Models of Home-Based Tour Mode and Destination Choices: Applications to a Developing Country. Transportation Research Record: Journal of the Transportation Research Board, No. 2076, 2008, pp. 29–40. https://doi.org/10.3141/2076-04.
Google Scholar
14. Dissanayake D., and Morikawa T. Household Travel Behavior in Developing Countries: Nested Logit Model of Vehicle Ownership, Mode Choice, and Trip Chaining. Transportation Research Record: Journal of the Transportation Research Board, No. 1805, 2002, pp. 45–52. https://doi.org/10.3141/1805-06.
Google Scholar
15. Tuan V. A. Mode Choice Behavior and Modal Shift to Public Transport in Developing Countries: The Case of Hanoi City. Journal of the Eastern Asia Society for Transportation Studies, Vol. 11, 2015, pp. 473–487.
Google Scholar
16. Bhat C. R. Accommodating Variations in Responsiveness to Level-of-Service Measures in Travel Mode Choice Modeling. Transportation Research Part A: Policy and Practice, Vol. 32, No. 7, 1998, pp. 495–507. https://doi.org/10.1016/S0965-8564(98)00011-1.
Google Scholar
17. Saha D. Development of a Mode Choice Model Considering Heterogeneous Traffic of Dhaka City. Master’s thesis. Bangladesh University of Engineering and Technology, Dhaka, 2010.
Google Scholar
18. Stephanedes Y. J., Kumar V., and Padmanabhan B. A Fully Disaggregate Mode-Choice Model for Business Intercity Travel. Transportation Planning and Technology, Vol. 9, No. 1, 1984, pp. 13–23. https://doi.org/10.1080/03081068408717265.
Google Scholar
19. Mokhtarian P. L., and Cao X. Examining the Impacts of Residential Self-Selection on Travel Behavior: A Focus on Methodologies. Transportation Research Part B: Methodological, Vol. 42, No. 3, 2008, pp. 204–228. https://doi.org/10.1016/j.trb.2007.07.006.
Google Scholar
20. Litman T. Land Use Impacts on Transport: How Land Use Factors Affect Travel Behavior. Victoria Transport Policy Institute, Victoria, British Columbia, Canada, 2005. http://www.vtpi.org/landtravel.pdf. Accessed March 2, 2017.
Google Scholar
21. Bhat C. R., and Guo J. Y. A Comprehensive Analysis of Built Environment Characteristics on Household Residential Choice and Auto Ownership Levels. Transportation Research Part B: Methodological, Vol. 41, No. 5, 2007, pp. 506–526. https://doi.org/10.1016/j.trb.2005.12.005.
Google Scholar
22. Tran M. T., Zhang J., Chikaraishi M., and Fujiwara A. A Joint Analysis of Residential Location, Work Location, and Commuting Mode Choices in Hanoi, Vietnam. Journal of Transport Geography, Vol. 54, 2016, pp. 181–193. https://doi.org/10.1016/j.jtrangeo.2016.06.003.
Google Scholar
23. Paleti R., Bhat C., and Pendyala R. Integrated Model of Residential Location, Work Location, Vehicle Ownership, and Commute Tour Characteristics. Transportation Research Record: Journal of the Transportation Research Board, No. 2382, 2013, pp. 162–172. https://doi.org/10.3141/2382-18.
Google Scholar
24. Yang M., Li D., Wang W., Zhao J., and Chen X. Modeling Gender-Based Differences in Mode Choice Considering Time-Use Pattern: Analysis of Bicycle, Public Transit, and Car Use in Suzhou, China. Advances in Mechanical Engineering, Vol. 2013, 2013, pp. 1–11. https://doi.org/10.1155/2013/706918.
Google Scholar
25. Van Acker V., and Witlox F. Car Ownership as a Mediating Variable in Car Travel Behaviour Research Using a Structural Equation Modelling Approach to Identify Its Dual Relationship. Journal of Transport Geography, Vol. 18, No. 1, 2010, pp. 65–74. https://doi.org/10.1016/j.jtrangeo.2009.05.006.
Google Scholar
26. Ben-Akiva M. E., and Lerman S. R. Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press, Cambridge, Mass., 1985.
Google Scholar
27. Temme D., Paulssen M., and Dannewald T. Incorporating Latent Variables into Discrete Choice Models: A Simultaneous Estimation Approach Using SEM Software. Business Research, Vol. 1, No. 2, 2008, pp. 220–237. https://doi.org/10.1007/BF03343535.
Google Scholar
28. Politis I., Papaioannou P., and Basbas S. Integrated Choice and Latent Variable Models for Evaluating Flexible Transport Mode Choice. Research in Transportation Business and Management, Vol. 3, 2012, pp. 24–38. https://doi.org/10.1016/j.rtbm.2012.06.007.
Google Scholar
29. Atasoy B., Glerum A., and Bierlaire M. Attitudes Towards Mode Choice in Switzerland. Planning Review, Vol. 49, No. 2, 2013, pp. 101–117. https://doi.org/10.1080/02513625.2013.827518.
Google Scholar
30. Soto J. J., Cantillo V., and Arellana J. Hybrid Choice Modeling of Alternative Fueled Vehicles in Colombian Cities Including Second Order Structural Equations. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
Google Scholar
31. Muthén B. A General Structural Equation Model with Dichotomous, Ordered Categorical, and Continuous Latent Variable Indicators. Psychometrika, Vol. 49, No. 1, 1984, pp. 115–132. https://doi.org/10.1007/BF02294210.
Google Scholar
32. Daly A., Hess S., Patruni B., Potoglou D., and Rohr C. Using Ordered Attitudinal Indicators in a Latent Variable Choice Model: A Study of the Impact of Security on Rail Travel Behaviour. Transportation, Vol. 39, No. 2, 2012, pp. 267–297. https://doi.org/10.1007/s11116-011-9351-z.
Google Scholar
33. Dekker T., Hess S., Arentze T., and Chorus C. Incorporating Needs—Satisfaction and Regret—Minimization in a Discrete Choice Model of Leisure Activities. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
Google Scholar
34. Pinjari A. R., Pendyala R. M., Bhat C. R., and Waddell P. A. Modeling the Choice Continuum: An Integrated Model of Residential Location, Auto Ownership, Bicycle Ownership, and Commute Tour Mode Choice Decisions. Transportation, Vol. 38, No. 6, 2011, pp. 933–958. https://doi.org/10.1007/s11116-011-9360-y.
Google Scholar
35. Rose B. M., Holmbeck G. N., Coakley R. M., and Franks E. A. Mediator and Moderator Effects in Developmental and Behavioral Pediatric Research. Journal of Developmental and Behavioral Pediatrics, Vol. 25, No. 1, 2004, pp. 58–67. https://doi.org/10.1097/00004703-200402000-00013.
Google Scholar
36. Wu A. D., and Zumbo B. D. Understanding and Using Mediators and Moderators. Social Indicators Research, Vol. 87, No. 3, 2008, pp. 367–392. https://doi.org/10.1007/s11205-007-9143-1.
Google Scholar
37. Fairchild A. J., and MacKinnon D. P. A General Model for Testing Mediation and Moderation Effects. Prevention Science, Vol. 10, No. 2, 2009, pp. 87–99. https://doi.org/10.1007/s11121-008-0109-6.
PubMed
Google Scholar
38. MacKinnon D. P., Lockwood C. M., Hoffman J. M., West S. G., and Sheets V. A Comparison of Methods to Test Mediation and Other Intervening Variable Effects. Psychological Methods, Vol. 7, No. 1, 2002, pp. 83–104. https://doi.org/10.1037/1082-989X.7.1.83.
PubMed
Google Scholar
39. Baron R. M., and Kenny D. A. The Moderator–Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations. Journal of Personality and Social Psychology, Vol. 51, No. 6, 1986, pp. 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173.
PubMed
Google Scholar
40. Frazier P. A., Tix A. P., and Barron K. E. Testing Moderator and Mediator Effects in Counseling Psychology Research. Journal of Counseling Psychology, Vol. 51, No. 1, 2004, pp. 115–134. https://doi.org/10.1037/0022-0167.51.1.115.
Google Scholar
41. Edwards J. R., and Lambert L. S. Methods for Integrating Moderation and Mediation: A General Analytical Framework Using Moderated Path Analysis. Psychological Methods, Vol. 12, No. 1, 2007, pp. 1–22. https://doi.org/10.1037/1082-989X.12.1.1.
PubMed
Google Scholar
42. Hayes A. F. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. Guilford Press, New York, 2013.
Google Scholar
43. Spencer S. J., Zanna M. P., and Fong G. T. Establishing a Causal Chain: Why Experiments Are Often More Effective Than Mediational Analyses in Examining Psychological Processes. Journal of Personality and Social Psychology, Vol. 89, No. 6, 2005, pp. 845–851. https://doi.org/10.1037/0022-3514.89.6.845.
PubMed
Google Scholar
44. MacKinnon D. P., Warsi G., and Dwyer J. H. A Simulation Study of Mediated Effect Measures. Multivariate Behavioral Research, Vol. 30, No. 1, 1995, pp. 41–62. https://doi.org/10.1207/s15327906mbr3001_3.
PubMed
Google Scholar
45. Frölich M., and Huber M. Direct and Indirect Treatment Effects: Causal Chains and Mediation Analysis with Instrumental Variables. Discussion 8280. IZA Institute of Labor Economics, Bonn, Germany, 2014.
Google Scholar
46. Imai K., Keele L., and Yamamoto T. Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects. Statistical Science, Vol. 25, No. 1, 2010, pp. 51–71. https://doi.org/10.1214/10-STS321.
Google Scholar
47. Imai K., Keele L., and Tingley D. A General Approach to Causal Mediation Analysis. Psychological Methods, Vol. 15, No. 4, 2010, pp. 309–334. https://doi.org/10.1037/a0020761.
PubMed
Google Scholar
48. Muthén B. Applications of Causally Defined Direct and Indirect Effects in Mediation Analysis Using SEM in Mplus. Mplus, 2011. https://www.statmodel.com/examples/penn.shtml#extendSEM.
Google Scholar
49. Ward K. The World in 2050. Hong Kong and Shanghai Bank Corporation, Hong Kong, 2012.
Google Scholar
50. Zhang J. Revisiting Residential Self-Selection Issues: A Life-Oriented Approach. Journal of Transport and Land Use, Vol. 7, No. 3, 2014, pp. 29–45. https://doi.org/10.5198/jtlu.v7i3.460.
Google Scholar
51. Zhang J. Life-Oriented Behavioral Research for Urban Policy. Springer, New York, 2016.
Google Scholar
52. Zhang J. The Life-Oriented Approach and Travel Behavior Research. Presented at 14th International Conference on Travel Behaviour Research, Windsor, United Kingdom, 2015.
Google Scholar

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Volume 2664, Issue 1
Pages: 23 - 30
Article first published online: January 1, 2017
Issue published: January 2017

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Authors

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Hong T. A. Nguyen
Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima 739-8529, Japan
[email protected]
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Makoto Chikaraishi
Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima 739-8529, Japan
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Akimasa Fujiwara
Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima 739-8529, Japan
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Junyi Zhang
Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1 Kagamiyama, Higashi-Hiroshima 739-8529, Japan
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