Impacts of Analysis Zone Structures on Modeled Statewide Traffic
Publication: Journal of Transportation Engineering
Volume 127, Issue 1
Abstract
Because a statewide transportation planning model covers a much larger area than an urban transportation planning model, land-use inventories and a household survey, which are often used to collect socioeconomic and traffic data for a UTP model, are prohibitively expensive for a STP model. The literature suggests alternatives of using the geography of census such as census tracts or block groups as Traffic Analysis Zones (TAZs) and using decennial Census for the socioeconomic data needed for statewide traffic demand modeling. The use of these alternatives raises new research questions for transportation planners. Which level of the census geography is better for statewide planning? Where should the centroids of TAZs be located given that the TAZs are heterogeneous in land-use activities? How much difference will the change of TAZ size and centroid location make in the results? Would the difference justify the extra effort in using more detailed TAZs and network? The primary purpose of this study is to determine how different TAZ structures and different roadway network details affect the ability of a STP model to replicate annual average daily traffic counts on the network. Idaho statewide traffic demand model is adopted as a case study. Results of this study can provide transportation planners a quantitative guide in selecting a zoning system for their statewide traffic demand models.
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References
1.
Baass, K. G. ( 1981). “Design of zonal systems for aggregate transportation planning models.” Transp. Res. Rec. 807, Transportation Research Board, Washington, D.C.
2.
Bach, L. ( 1981). “The problem of aggregation and distance for analyses of accessibility and access opportunity in location-allocation models.” Envir. and Plng. A, 13, 955–978.
3.
Batty, M., and Sikdar, P. K. ( 1982a). “Spatial aggregation in gravity models. 1: An information-theoretic framework.” Envir. and Plng. A, 14, 377–405.
4.
Batty, M., and Sikdar, P. K. ( 1982b). “Spatial aggregation in gravity models. 2: One-dimensional population density models.” Envir. and Plng. A, 14, 525–553.
5.
Batty, M., and Sikdar, P. K. ( 1982c). “Spatial aggregation in gravity models. 3. Two-dimensional trip distribution and location models.” Envir. and Plng. A, 14, 629–658.
6.
Batty, M., and Sikdar, P. K. ( 1982d). “Spatial aggregation in gravity models. 4. Generalizations and large-scale applications.” Envir. and Plng. A, 14, 795–822.
7.
Clark, W. A. V., and Avery, K. L. ( 1976). “The effects of data aggregation in statistical analysis.” Geographic Anal., 8, 428–437.
8.
Crevo, C. C. ( 1991). “Impacts of zonal reconfigurations on travel demand forecasts.” Transp. Res. Rec. 1305, Transportation Research Board, Washington, D.C.
9.
Ding, C. ( 1994). Impact analysis of spatial data aggregation on transportation forested demand: A GIS approach, Urban and Regional Information Association, 362–375.
10.
Federal Highway Administration. ( 1999). Calibration and Adjustment of System Planning Models, 〈http://www.bts.gov/tmip/papers〉.
11.
Fotheringham, A. S., and Wong, D. W. S. ( 1991). “The modifiable areal unit problem in multivariate statistical analysis.” Envir. and Plng. A, 23, 1025–1044.
12.
Goodchild, M. F. ( 1979). “The Aggregation Problem in Location-Allocation.” Geographic Anal., 11(3), 240–254.
13.
Openshaw, S. ( 1977). “Optimal zoning systems for spatial interaction models.” Envir. and Plng. A, 9, 169–184.
14.
Travel forecasting guidelines. (1992). JHK & Associates.
15.
Werner, C. ( 1985). Spatial transportation modeling, SAGE Publications, Beverly Hills, Calif.
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Received: Feb 29, 2000
Published online: Feb 1, 2001
Published in print: Feb 2001
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