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Extending the Random-Utility-Based Multiregional Input-Output Model: Incorporating Land-Use Constraints, Domestic Demand and Network Congestion in a Model of Texas (2004)
| Venue: | Proceedings of the 83rd Annual Meeting of Transportation Research Board |
| Citations: | 7 - 1 self |
BibTeX
@INPROCEEDINGS{Kockelman04extendingthe,
author = {Kara M. Kockelman and Clare Boothe and Luce Assistant and Professor Civil Engineering},
title = {Extending the Random-Utility-Based Multiregional Input-Output Model: Incorporating Land-Use Constraints, Domestic Demand and Network Congestion in a Model of Texas},
booktitle = {Proceedings of the 83rd Annual Meeting of Transportation Research Board},
year = {2004},
pages = {789--807}
}
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Abstract
This study describes the applications and extensions of an existing random-utility-based multiregional input-output (RUBMRIO) model, applied to Texas trade patterns. The new model simulates labor and commodity trade patterns among zones (counties), as motivated by foreign and domestic export demands. The trade impedance, represented by travel cost on a two-mode transportation network, can be iteratively updated to capture congestion impacts on the highway network. To achieve this, the extended model estimates truck, work and shopping trips, all of which are predicted to remain largely intercounty. Modeling results suggest that Chemical and Allied Products, Mining, Manufacturing and Agriculture sectors generate most of the State’s truck trips, consistent with information from the Vehicle Inventory and Use Survey. The new version can limit production levels and housing – and thus zonal development – according to local land availability. Incorporation of domestic demands, in addition to foreign demands for Texas goods, resulted in relatively close approximation of production found by the U.S. Commodity Flow Survey. Simulation of different demand and production-technology scenarios highlighted the importance of Agriculture, Machinery and Equipment, and Fabricated Metal Products sectors for the State’s economy, as well as the State’s relative dependence on demands by New England and Middle Atlantic States. Improved production technologies reduce the need for intermediate trading but have a larger positive impact if applied in appropriate sectors and counties.
Keyphrases
domestic demand random-utility-based multiregional input-output model network congestion land-use constraint local land availability shopping trip u.s. commodity flow survey trade impedance congestion impact relative dependence production-technology scenario production technology domestic export demand foreign demand texas good extended model estimate truck different demand close approximation new version state economy zonal development texas trade pattern appropriate sector middle atlantic state commodity trade pattern allied product highway network positive impact use survey vehicle inventory travel cost random-utility-based multiregional input-output production level fabricated metal product sector two-mode transportation network state truck trip new england intermediate trading agriculture sector new model
