Abstract
The spatial allocation of land uses and vehicle route selection within an urban network are
both dependent upon travel times between zones in an urban region. These location and
accessibility components form the basis of a time dependent feedback structure linking
land use and transportation planning. Integrating algorithms for land use allocation, mode
choice, and route selection is the next step required for comprehensive urban planning.
However, any integration of existing models still requires exogenous estimates of future
population and employment.
Predictions of the distribution of land uses, travel mode, and route selection are all based
upon modeling choice behaviors. Similarly, choice behavior modeling can be extended to
virtually all elements of the urban structure. Drawing upon System Dynamics, and
utilizing Forrester's concepts of urban modeling, a truly integrated model can be developed
free of outside input for future population and employment levels.
The feasibility and utility of the Dynamic Urban Land Use - Transportation Model are
demonstrated through the use of a hypothetical urban region. Given a set of initial
conditions, the model simulates the choice behaviors that determine future population
movement, employment opportunities, and housing availability, and allocates these elements to zones. Mode and route selection for the home-to-work journey are then
simulated and become inputs for future spatial allocation. Analysis of the effects on the
urban system as a result of a variety of transportation and land use policies is included to
demonstrate the usefulness of the methodology as a decision making tool.
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