Temporal Stability and Transferability of Non-Motorized and Total Trip Generation Models

Judith L. Mwakalonge, Juhann C. Waller, Judy A. Perkins

Department of Civil and Environmental Engineering, North Carolina A & T State University, Greensboro, USA.
Department of Civil and Environmental Engineering, Prairie View A & M University, Prairie View, USA.
Department of Civil and Mechanical Engineering and Technology, South Carolina State University, Orangeburg, USA.

DOI: 10.4236/jtts.2012.24031                

Abstract

Transportation systems provide a means for moving people and the goods from which they are spatially separated. Of the two means of surface transportation, the motorized mode is used extensively for utilitarian travel in developed countries. The increasing reliance on motorized travel has contributed to increased traffic congestion, air pollution, and greenhouse emissions. Non-motorized travel has recently received significant attention as a means to reduce congestion and environmental problems and improve human health. However, non-motorized modeling is generally underdeveloped. This study investigated some changes in non-motorized and total travel and the characteristics of the traveling public in 1990, 1995, 2001, and 2009 using a national travel survey. The study also investigated the temporal transferability of linear-regression trip generation models for non-motorized and total travel under such changes. High-income households made fewer non-motorized trips in 1990 and 1995 compared to 2001 and 2009. Persons aged 50 and over showed an increased demand for non-motorized travel, whereas children aged 0 - 15 showed a decreasing preference for non-motorized travel over time. Regarding temporal stability, only the coefficient for single-adult households with no children was stable across all of the analysis years. For both non-motorized and total travel, most model parameter estimates were stable short term but not long term. In general, the total travel models transferred better than non-motorized models, both short term and long term. Despite not finding universal stability in model parameter estimates, the models were marginally able to replicate travel in 2009 relative to the locally estimated 2009 model.

Keywords

Non-Motorized; Trasferability; Temporal; Total Travel

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	M. R. Baltes, “Factors Influencing Nondiscretionary Work Trips by Bicycle Determined from 1990 U.S. Census Metropolitan Statistical Area Data, Transportation Research Record 1538,” Transportation Research Board, Washington DC, 1996, pp. 96-101.
[2]	C. R. Bhat, J. Y. Guo and R. Sardesai, “Non-Motorized Travel in the San Francisco Bay Area,” University of Texas, Austin, 2005.
[3]	Urban Transportation Caucus, “Urban transportation report Card, San Francisco Bike Coalition, Cascade Bicycle Club, and Chicago land Bicycle Federation Transportation Alternatives, 2007
[4]	Urban Mobility Report, Texas Transportation Institute, The Texas A&M University System, Austin, 2004.
[5]	D. Shrank and T. Lomax, “,” 2009 Urban Mobility Report, Texas Transportation Institute, The Texas A&M University System, Austin, 2009.
[6]	M. Replogle, “Integrating Pedestrian and Bicycle Factors into Regional Transportation Planning Models: Summary of the State-Of-The-Art and Suggested Steps Forward,” Urban Design, Telecommunication and Travel Forecasting Conference: Summary, Recommendations and Compendium of Papers, Travel Model Improvement Program, Williamsburg, 27-30 October, 1996, pp. 75-94.
[7]	K. J. Crifton and K. J. Krizek, “The Utility of the NHTS in Understanding Bicycle and Pedestrian Travel,” National Household Travel Survey Conference: Understanding Our Nation’s Travel, 1-2 November, 2004 Washington DC.
[8]	U.S. Department of Transportation, Bureau of Transportation Statistics, Bicycle and Pedestrian Data Sources, Needs and Gaps, 2000, Washington, DC.
[9]	C. R. Emond, W. Tang and S. L. Handy, “Explaining Gender Difference in Bicycling Behavior,” Transportation Research Board, Washington DC, 2009, pp. 16-25.
[10]	R. Cervero and M. Duncan, “Walking, Bicycling, and Urban Landscapes: Evidence from the San Francisco Bay Area,” American Journal of Public Health, Vol. 93, No. 9, 2003, pp. 1478-1483. doi:10.2105/AJPH.93.9.1478
[11]	E. J. Kannel and K. W. Heathington, “Temporal Stability of Trip Generation Relations,” Highway Research Record, Vol. 472, 1973, pp. 17-27.
[12]	A. Cotrus, J. N. Prashker and Y. Shiftan, “Spatial and Temporal Transferability of Trip Generation Demand Models in Israel, Bureau of Transportation Statistics,” Journal of Transportation and Statistics, Vol. 8 No. 1, 2003, pp. 37-56.
[13]	Oak Ridge National Laboratory, The 2001 National Household Travel Survey, Oak Ridge National Laboratory for the US Department of Transportation, 2004. http:/nhts.ornl.gov/publications.html
[14]	J. L. Mwakalonge, “Econometric Modeling of Total Urban Travel Demand Using Data Collected in Single and Repeated Cross-Sectional Surveys,” Ph.D. Dissertation, Department of Civil and Environmental Engineering, Tennessee Technological University, Cookeville, 2010.
[15]	K. G. Goulias, R. M. Pendyala and R. Kitamura, “Practical Method for the Estimation of Trip Generation and Trip Chaining,” Transportation Research Board, Wasington DC, 1991, pp. 47-56.
[16]	Oak Ridge National Laboratory, The National Household Travel Survey. Oak Ridge National Laboratory for the US Department of Transportation, 2010. http:/nhts.ornl.gov/publications.html
[17]	G. F. Ulfarsson and V. N. Shankar, “Children’s Travel to School: Discrete Choice Modeling of Correlated Motorized and Non-Motorized Transportation Modes Using Covariance Heterogeneity,” Environment and Planning B: Planning and Design, Vol. 35, No. 2, 2008, pp. 195-206. doi:10.1068/b3360
[18]	A. Hadayeghi, A. S. Shalaby, B. N. Persaud and C. Cheung, “Temporal Transferability and Updating of Zonal Level Accident Prediction Models,” Accident Analysis & Prevention, Vol. 38, No. 3, 2006, pp. 579-589. doi:10.1016/j.aap.2005.12.003
[19]	D. A. Badoe, “An Investigation into the Long Range Transferability of Work-Trip Discrete Mode Choice Models,” Ph.D. Dissertation, University of Toronto, Toronto, 1994.
[20]	F. S. Koppelman and C. G. Wilmot, “Transferability Analysis of Disaggregate Choice Models,” Transportation Research Board, Washington DC, 1982, pp. 18-24.