Effect of Traveler’s Nationality on Daily Travel Time Expenditure Using Zero-Inflated Negative Binomial Regression Models: Results from Belgian National Household Travel Survey
Eftekhar, Hamed; Creemers, Lieve; Cools, Mario
2016 • In Transportation Research Recordv: Journal of the Transportation Research Board, 2565, p. 65–77
bootstrapping; travel time expenditure; zero-inflated negative binomial model
Abstract :
[en] In this study, data stemming from the 2010 Belgian National Household Travel Survey were used to assess the effect of a traveler’s nationality on daily travel time expenditure. Negative binomial (zero-inflated) models were estimated to isolate the effect of nationality after other contributing factors such as sociodemographics, residential characteristics, transport options, and temporal characteristics were controlled for. The results indicate that even if one controls for a series of other influencing factors, nationality plays a significant role in differences in travel time expenditure. This finding is especially relevant in the development of policy packages that are targeted at social inequalities. From a methodological perspective, methodological options—two weighting schemes and two bootstrap solutions—were presented to provide sufficient support for the conclusions. To generalize the results in further studies, an oversampling of travelers of different nationalities is strongly recommended. Future research should focus more on the underlying psychological constructs of why ethnic and cultural differences persist even if one accounts for other determinants.
Research Center/Unit :
LEMA : Local Environment Management & Analysis Lepur : Centre de Recherche sur la Ville, le Territoire et le Milieu rural - ULiège
Disciplines :
Civil engineering Special economic topics (health, labor, transportation...)
Author, co-author :
Eftekhar, Hamed ; Université de Liège > Département ArGEnCo > Transports et mobilité
Creemers, Lieve
Cools, Mario ; Université de Liège > Département ArGEnCo > Transports et mobilité
Language :
English
Title :
Effect of Traveler’s Nationality on Daily Travel Time Expenditure Using Zero-Inflated Negative Binomial Regression Models: Results from Belgian National Household Travel Survey
Publication date :
2016
Journal title :
Transportation Research Recordv: Journal of the Transportation Research Board
ISSN :
0361-1981
eISSN :
2169-4052
Publisher :
National Research Council, National Academy of Sciences. Commission on Sociotechnical Systems. Transportation Research Board, Washington, United States - District of Columbia
Volume :
2565
Pages :
65–77
Peer reviewed :
Peer reviewed
Name of the research project :
INTRAS
Funders :
BELSPO - Service Public Fédéral de Programmation Politique scientifique
Duyck, J., M. Englert, L. Masure, and J.-M. Paul. Bevolkingsvooruitzichten 2012-2060 [Demographic Forecasts 2012-2060]. Federal Planning Bureau and Statistics Belgium, Brussels, 2013.
Van der Bracht, K., B. Van de Putte, P.-P. Verhaeghe, and K. Van Kerckem. Ethnic Diversity in Belgium: Old and New Migration, Old and New Developments. Journal of Diversity and Gender Studies, Vol. 1, No. 1, 2015, pp. 73-81.
Chatman, D. G. Explaining the "Immigrant Effect" on Auto Use: The Influences of Neighborhoods and Preferences. Transportation, Vol. 41, No. 3, 2014, pp. 441-461.
Contrino, H., and N. McGuckin. Demographics Matter: Travel Demand, Options, and Characteristics Among Minority Populations. Public Works Management and Policy, Vol. 13, No. 4, 2009, pp. 361-368.
Ma, L., and S. Srinivasan. Impact of Individuals' Immigrant Status on Household Auto Ownership. In Transportation Research Record: Journal of the Transportation Research Board, No. 2156, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 36-46.
Tal, G., and S. Handy. Travel Behavior of Immigrants: An Analysis of the 2001 National Household Transportation Survey. Transport Policy, Vol. 17, No. 2, 2010, pp. 85-93.
Bhat, C. R., R. Paleti, R. M. Pendyala, K. Lorenzini, and K. C. Konduri. Accommodating Immigration Status and Self-Selection Effects in a Joint Model of Household Auto Ownership and Residential Location Choice. In Transportation Research Record: Journal of the Transportation Research Board, No. 2382, Transportation Research Board of the National Academies, Washington, D.C., 2013, pp. 142-150.
Volosin, S. E., S. Paul, K. P. Christian, K. C. Konduri, and R. M. Pendyala. Exploring the Dynamics in Travel Time Frontiers. In Transportation Research Record: Journal of the Transportation Research Board, No. 2382, Transportation Research Board of the National Academies, Washington, D.C., 2013, pp. 20-27.
Farber, S., A. Páez, R. G. Mercado, M. Roorda, and C. Morency. A Time-Use Investigation of Shopping Participation in Three Canadian Cities: Is There Evidence of Social Exclusion? Transportation, Vol. 38, No. 1, 2011, pp. 17-44.
Bhat, G., and R. B. Naumann. Travel-Related Behaviors, Opinions, and Concerns of U.S. Adult Drivers by Race/Ethnicity, 2010. Journal of Safety Research, Vol. 47, 2013, pp. 93-97.
Chatman, D. G., and N. J. Klein. Why Do Immigrants Drive Less? Confirmations, Complications, and New Hypotheses from a Qualitative Study in New Jersey, USA. Transport Policy, Vol. 30, 2013, pp. 336-344.
Smart, M. U.S. Immigrants and Bicycling: Two-Wheeled in Autopia. Transport Policy, Vol. 17, No. 3, 2010, pp. 153-159.
Bora, N., Y.-H. Chang, and R. Maheswaran. Mobility Patterns and User Dynamics in Racially Segregated Geographies of U.S. Cities. In Social Computing, Behavioral-Cultural Modeling and Prediction (W. G. Kennedy, N. Agarwal, and S. J. Yang, eds.), Springer International Publishing, Cham, Switzerland, 2014, pp. 11-18.
Silm, S., and R. Ahas. Ethnic Differences in Activity Spaces: A Study of Out-of-Home Nonemployment Activities with Mobile Phone Data. Annals of the Association of American Geographers, Vol. 104, No. 3, 2014, pp. 542-559.
Kuebler, M., and J. S. Rugh. New Evidence on Racial and Ethnic Disparities in Homeownership in the United States from 2001 to 2010. Social Science Research, Vol. 42, No. 5, 2013, pp. 1357-1374.
Banerjee, A., X. Ye, and R. Pendyala. Understanding Travel Time Expenditures Around the World: Exploring the Notion of a Travel Time Frontier. Transportation, Vol. 34, No. 1, 2007, pp. 51-65.
Ahmed, A., and P. Stopher. Seventy Minutes Plus or Minus 10: A Review of Travel Time Budget Studies. Transport Reviews, Vol. 34, No. 5, 2014, pp. 607-625.
Chikaraishi, M., A. Fujiwara, J. Zhang, K. W. Axhausen, and D. Zumkeller. Changes in Variations of Travel Time Expenditure: Some Methodological Considerations and Empirical Results from German Mobility Panel. In Transportation Research Record: Journal of the Transportation Research Board, No. 2230, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 121-131.
Cools, M., E. Moons, and G. Wets. Assessing the Impact of Public Holidays on Travel Time Expenditure: Differentiation by Trip Motive. In Transportation Research Record: Journal of the Transportation Research Board, No. 2157, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 29-37.
Li, D., T. Miwa, and T. Morikawa. Analysis of Car Usage Time Frontiers Incorporating Both Inter-and Intraindividual Variation with GPS Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2413, Transportation Research Board of the National Academies, Washington, D.C., 2014, pp. 13-23.
Raux, C., T.-Y. Ma, I. Joly, V. Kaufmann, E. Cornelis, and N. Ovtracht. Travel and Activity Time Allocation: An Empirical Comparison Between Eight Cities in Europe. Transport Policy, Vol. 18, No. 2, 2011, pp. 401-412.
Sharmeen, F., T. Arentze, and H. Timmermans. Incorporating Time Dynamics in Activity Travel Behavior Model: A Path Analysis of Changes in Activity and Travel Time Allocation in Response to Life-Cycle Events. In Transportation Research Record: Journal of the Transportation Research Board, No. 2382, Transportation Research Board of the National Academies, Washington, D.C., 2013, pp. 54-62.
Susilo, Y. O., and M. Dijst. How Far Is Too Far? Travel Time Ratios for Activity Participation in the Netherlands. In Transportation Research Record: Journal of the Transportation Research Board, No. 2134, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 89-98.
Yang, D., and H. Timmermans. Analysis of Influence of Fuel Price on Individual Activity-Travel Time Expenditure. Transport Policy, Vol. 30, 2013, pp. 40-55.
Zong, F., J. Hongfei, P. Xiang, and W. Yang. Prediction of Commuter's Daily Time Allocation. PROMET-Traffic and Transportation, Vol. 25, No. 5, 2013, pp. 445-455.
Cornelis, E., M. Hubert, P. Huynen, K. Lebrun, G. Patriarche, A. De Witte, L. Creemers, K. Declercq, D. Janssens, M. Castaigne, L. Hollaert, and F. Walle. Belgian Daily Mobility (BELDAM): Enquete sur la mobilité quotidienne des belges. SPF Mobilité and Transports, Brussels, Belgium, 2012.
Hubert, J.-P., J. Armoogum, K. W. Axhausen, and J.-L. Madre. Immobility and Mobility Seen Through Trip-Based Versus Time-Use Surveys. Transport Reviews, Vol. 28, No. 5, 2008, pp. 641-658.
Hilbe, J. M. Negative Binomial Regression. Cambridge University Press, New York, 2007.
SAS/STAT 14.1 User's Guide. SAS Institute Inc., Cary, N.C., 2015.
Long, J. S. Regression Models for Categorical and Limited Dependent Variables. Sage Publications, Thousand Oaks, Calif., 1997.
Hesterberg, T., S. Monaghen, D. S. Moore, A. Clipson, and R. Epstein. Bootstrap Methods and Permutation Tests. In Practice of Business Statistics, W. H. Freeman and Company, New York, 2003, Chap. 18.
