Development of Improved Trip Attraction Rates for Small and Medium-Sized Travel Demand Models

Abstract

Accurate data are essential for the development of robust and valid travel demand models to support the planning activities of metropolitan planning organizations (MPOs). The Travel Survey Program of the Texas Department of Transportation (DOT) includes workplace travel surveys to develop trip attraction rates for travel demand modeling activities. This paper reports the findings of a research study that developed a comprehensive database of workplace travel surveys conducted by the Texas DOT over the past 13 years. The final master database contained data from more than 63,000 trips at more than 5,100 establishments across 15 urban areas in Texas. Trip attraction rates for three trip purposes (home-based work, home-based nonwork, and non-home based) were calculated from these data, with segmentation according to establishment type, urban area size, and the population density of the traffic analysis zone in which the establishment was located. Trip attraction rates were calculated for person trips and auto trips. One of the key findings from this study was that the trip attraction rates varied across area types and indicated that population density contributed to the trip attraction characteristics of workplace establishments. The findings of this research can be used by MPOs of all sizes—especially those serving small and medium-sized urban areas—to improve travel demand models by providing more improved trip attraction rates for a variety of contexts.

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References

Cambridge Systematics, Inc. NCHRP Report 716: Travel Demand Forecasting: Parameters and Techniques. Transportation Research Board of the National Academies, Washington, D.C., 2012.

Stopher

P. R.

, and Greaves

S. P.

. Household Travel Surveys: Where Are We Going? Transportation Research Part A, No. 41, 2007, pp. 367–381.

Zhao

, and Kockelman

K. M.

. The Propagation of Uncertainty Through Travel Demand Models: An Exploratory Analysis. Annals of Regional Science, Vol. 36, No. 1, 2002, pp. 45–163.

Kikuchi

, Felsen

, Mangalpally

, and Gupta

. Trip Attraction Rates of Shopping Centers in Northern New Castle County, Delaware. Delaware Center for Transportation, Newark, 2004.

Hard

, Bhat

, Chigoy

, Green

, Dubey

, Pearson

, Sperry

B. R.

, Loftus-Otway

, and Moore

P. C.

. Improved Trip Generation Data for Texas Using Work Place and Special Generator Survey Data. FHWA/TX-15/0-6760-1. Texas A&M Transportation Institute, College Station, 2015.

Stone

J. R.

, Han

, Huntsinger

L. F.

, Mei

, Khattak

A. J.

, and Fan

. Guidelines for Developing Travel Demand Models: Medium Communities and Metropolitan Planning Organizations. FHWA/NC/2006-58. I North Carolina Department of Transportation, Transportation Planning Branch, Raleigh, 2007.

Ullah

M. S.

, Molakatalla

, Morocoima-Black

, and Mohideen

A. Z.

. Travel Demand Modeling for the Small and Medium Sized MPOs in Illinois. FHWA-ICT-11-091. Illinois Center for Transportation, Rantoul, 2011.

Martin

W. A.

, and McGuckin

N. A.

. NCHRP Report 365: Travel Estimation Techniques for Urban Planning. TRB, National Research Council, Washington, D.C., 1998.

Everett

J. D.

An Investigation of the Transferability of Trip Generation Models and the Utilization of a Spatial Context Variable. PhD dissertation. University of Tennessee, Knoxville, 2009.

10.

Badoe

D. A.

, and Miller

E. J.

. Transportation–Land Use Interaction: Empirical Findings in North America, and Their Implications for Modeling. Transportation Research Part D, Vol. 5, No. 4, 2000, pp. 235–263.

11.

Frank

L. D.

, and Pivo

. Impacts of Mixed Use and Density on Utilization of Three Modes of Travel: Single-Occupant Vehicle, Transit, and Walking. In Transportation Research Record 1466, TRB, National Research Council, Washington, D.C., 1994, pp. 44–52.

12.

Ewing

, and Cervero

. Travel and the Built Environment: A Meta-Analysis. Journal of the American Planning Association, Vol. 76, No. 3, 2010, pp. 265–294.

13.

Ewing

, and Cervero

. Travel and the Built Environment: A Synthesis. In Transportation Research Record: Journal of the Transportation Research Board, No. 1780, TRB, National Research Council, Washington, D.C., 2001, pp. 87–114.

14.

Bagley

M. N.

, and Mokhtarian

P. L.

. The Impact of Residential Neighborhood Type on Travel Behavior: A Structural Equations Modeling Approach. The Annals of Regional Science, Vol. 36, 2002, pp. 279–297.