Using trip chaining and joint travel as mediating variables to explore the relationships among travel behavior, socio-demographics and urban form
Yu-Jen Chen
Ohio State University
Gulsah Akar
Ohio State University
DOI: https://doi.org/10.5198/jtlu.2017.882
Keywords: Trip chaining, joint travel, travel distances, urban form
Abstract
Using the 2012 Household Travel Survey data for the Cleveland metropolitan area, this study aims to examine the connections between travel behavior by using trip chaining and joint travel as mediating variables of travel distances and controlling for socio-demographics and urban form. Trip chaining and joint travel capture the complexity of tours and intra-household interactions, respectively. Socio-demographics represent personal and household characteristics. Urban form, which is measured not only at tour origins but also at tour destinations, helps capture the effects of residential density, retail and non-retail densities, transportation connectivity, public transit accessibility, and land-use mix. Structural equation model (SEM) approaches are applied to examine the interrelationships among these variables. The model results reveal that significant effects with expected signs exist among travel behavior: Trip chaining is negatively associated with joint travel and positively related to travel distances, and joint travel has negative effects on travel distances. Consistent with existing literature, socio-demographic attributes are strong explanatory factors of travel behavior. Urban form characteristics have significant influence on travel distances at both tour origins and destinations. The findings of this study will improve the future evaluation of transportation projects and land-use policymaking.References
Akar, G., Chen, N., & Gordon, S. I. (2016). Influence of neighborhood types on trip distances: Spatial error models for central Ohio. International Journal of Sustainable Transportation, 10, 284–293.
Antipova, A., & Wang, F. (2010). Land use impacts on trip-chaining propensity for workers and nonworkers in Baton Rouge, Louisiana. Annals of GIS, 16, 141–154.
Bhat, C. R. (1997). Work travel mode choice and number of non-work commute stops. Transportation Research Part B: Methodological, 31, 41–54.
Bricka, S. G. (2008). Trip chaining, linking the influences and implications. Austin, Texas: University of Texas at Austin.
Brownstone, D., & Golob, T. F. (2009). The impact of residential density on vehicle usage and energy consumption. Journal of Urban Economics, 65, 91–98.
Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Abingdon-on-Thames, UK: Routledge.
Chandrasekharan, B., & Goulias, K. G. (1999). Exploratory longitudinal analysis of solo and joint trip making using the Puget Sound transportation panel. Transportation Research Record, 1676, 77–85.
Dieleman, F.M., Dijst, M., & Burghouwt, G. (2002). Urban form and travel behavior: micro-level household attributes and residential context. Urban Studies, 39, 507–527.
Duncan, M. (2015). How much can trip chaining reduce VMT? A simplified method. Transportation, 43(643), 1–17.
Elldér, E. (2014). Residential location and daily travel distances: The influence of trip purpose. Journal of Transport Geography, 34, 121–130.
Ewing, R., & Cervero, R. (2001). Travel and the built environment: A synthesis. Transportation Research Record, 1780, 87–114.
Ewing, R., & Cervero, R. (2010). Travel and the built environment. Journal of the American Planning Association, 76, 265–294.
Ewing, R., Greenwald, M., Zhang, M., Walters, J., Feldman, M., Cervero, R., Frank, L., & Thomas, J. (2011). Traffic generated by mixed-use developments—six-region study using consistent built environmental measures. Journal of Urban Planning and Development, 137, 248–261.
Frank, L., Bradley, M., Kavage, S., Chapman, S., Lawton, T. K. (2008). Urban form, travel time, and cost relationships with tour complexity and mode choice. Transportation, 35, 37–54.
Ho, C., & Mulley, C. (2013a). Incorporating intra-household interactions into a tour-based model of public transport use in car-negotiating households. Transportation Research Record, 2343, 1–9.
Ho, C., & Mulley, C. (2013b). Tour-based mode choice of joint household travel patterns on weekend and weekday. Transportation, 40, 789–811.
Ho, C., & Mulley, C. (2015). Intra-household Interactions in tour-based mode choice: The role of social, temporal, spatial and resource constraints. Transport Policy, 38, 52–63.
Holzapfel, H. (1986). Trip relationships in urban areas. Brookfield, Vermont: Gower Publishing.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55.
Kitamura, R., & Susilo, Y. O. (2005). Is travel demand insatiable? A study of changes in structural relationships underlying travel. Transportmetrica, 1, 23–45.
Krizek, K. J. (2003). Neighborhood services, trip purpose, and tour-based travel. Transportation, 30, 387–410.
Kuppam, A. R., & Pendyala, R. M. (2001). A structural equations analysis of commuters’ activity and travel patterns. Transportation, 28, 33–54.
Lin, T., & Wang, D. (2014). Social networks and joint/solo activity–travel behavior. Transportation Research Part A: Policy and Practice, 68, 18–31.
Liu C. (2012). Exploring the influence of urban form on travel and energy consumption, using structural equation modeling. College Park, Maryland: University of Maryland.
Liu, C., & Shen, Q. (2011). An empirical analysis of the influence of urban form on household travel and energy consumption. Computers, Environment and Urban Systems, 35, 347–357.
Lu, X., & Pas, E. I. (1999). Socio-demographics, activity participation and travel behavior. Transportation Research Part A: Policy and Practice, 33, 1–18.
McDonald, N. (2006). Exploratory analysis of children’s travel patterns. Transportation Research Record, 1977, 1–7.
McDonald, N. C. (2005). Does residential density affect the travel “gender gap.” Conference Proceedings 35: Research on Women’s Issues in Transportation, 68–75.
McGuckin, N., & Murakami, E. (1999). Examining trip-chaining behavior: Comparison of travel by men and women. Transportation Research Record, 1693, 79–85.
Mercado, R., & Páez, A. (2009). Determinants of distance traveled with a focus on the elderly: A multilevel analysis in the Hamilton CMA, Canada. Journal of Transport Geography, 17, 65–76.
Morency, C., Paez, A., Roorda, M. J., Mercado, R., & Farber, S. (2011). Distance traveled in three Canadian cities: Spatial analysis from the perspective of vulnerable population segments. Journal of Transport Geography, 19, 39–50.
Mueller, R., & Hancock, G. (2010). Structural equation modeling. The reviewer’s guide to quantitative methods in the social sciences, 371–383.
Noland, R. B., & Thomas. J. V. (2007). Multivariate analysis of trip-chaining behavior. Environment and Planning B: Planning and Design, 34, 953.
Pearl, J. (2000) Causality: Models, reasoning and inference. Cambridge, England: Cambridge University Press.
Primerano, F., Taylor, M. A., Pitaksringkarn, L., & Tisato, P. (2008). Defining and understanding trip chaining behavior. Transportation, 35, 55–72.
Rentziou, A., Gkritza, K., & Souleyrette, R. R. (2012). VMT, energy consumption, and GHG emissions forecasting for passenger transportation. Transportation Research Part A: Policy and Practice, 46, 487–500.
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8, 23–74.
Schmöcker, J.-D., Quddus, M. A., Noland, R. B., & Bell, M. G. H. (2005). Estimating trip generation of elderly and disabled people: Analysis of London data. Transportation Research Record, 1924, 9–18.
Schmöcker, J.-D., Su, F., & Noland, R. B. (2010). An analysis of trip chaining among older London residents. Transportation, 37, 105–123.
Srinivasan, S., & Bhat, C. R. (2008). An exploratory analysis of joint-activity participation characteristics using the American time use survey. Transportation, 35, 301–327.
Sun, Y., Waygood, E., Fukui, K., & Kitamura, R. (2009). Built Environment or Household Life-Cycle Stages—Which Explains Sustainable Travel More? Transportation Research Record, 2135, 123–129.
Susilo, Y. O., & Kitamura, R. (2008). Structural changes in commuters’ daily travel: The case of auto and transit commuters in the Osaka metropolitan area of Japan, 1980–2000. Transportation Research Part A: Policy and Practice, 42, 95–115.
Tillberg Mattsson, K. (2002). Children’s (in)dependent mobility and parents’ chauffeuring in the town and the countryside. Tijdschrift voor economische en sociale geografie, 93, 443–453.
Van Acker, V., & Witlox, F. (2010). Car ownership as a mediating variable in car travel behavior research using a structural equation modelling approach to identify its dual relationship. Journal of Transport Geography, 18, 65–74.
Van Acker, V., & Witlox, F. (2011). Commuting trips within tours: How is commuting related to land use? Transportation, 38, 465–486.
van den Berg P, Arentze, T., & Timmermans, H. (2013). A path analysis of social networks, telecommunication and social activity–travel patterns. Transportation Research Part C: Emerging Technologies, 26, 256–268.
Vovsha, P., & Petersen, E. (2005). Escorting children to school: Statistical analysis and applied modeling approach. Transportation Research Record 1921, 131–140.
Vovsha. P., Petersen, E., & Donnelly, R. (2003). Explicit modeling of joint travel by household members: Statistical evidence and applied approach. Transportation Research Record, 1831, 1–10.
Wallace. B., Barnes, J., & Rutherford, G. (2000). Evaluating the effects of traveler and trip characteristics on trip chaining, with implications for transportation demand management strategies. Transportation Research Record, 1718, 97–106.
Wang, R. (2014). The stops made by commuters: evidence from the 2009 US National Household Travel Survey. Journal of Transport Geography, 47, 109–118.
Waygood, E. O. D. (2011). What is the role of mothers in transit-oriented development? The case of Osaka–Kyoto–Kobe, Japan. Transportation Research Board Conference Proceedings.
Wilhelm, J., Wolf, J., Kang, E., & Taylor, D. (2014, January). The Cleveland GPS Household Travel Survey: Survey design, imputation of trip characteristics, and secondary uses of the data. Paper presented at the Transportation Research Board 93rd Annual Meeting, Washington, DC.
Xiao, X. (2013). Structural equation modeling compared with ordinary least squares in simulations and life insurers’ data. Master of science in statistics report. University of Texas at Austin. Retrieved from http://hdl.handle.net/2152/22516
Yang, M., Wang, W., Ren, G., Fan, R., Qi, B., & Chen, X. (2010). Structural equation model to analyze socio-demographics, activity participation, and trip chaining between household heads. Transportation Research Record, 2157, 38–45.