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68 I N N O VAT I O N S I N T R AV E L D E M A N D M O D E L I N G , V O L U M E 2
average equilibrium unit prices near employment sites Chang, J., and R. Mackett. 2005. A Bi-Level Model of the
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and Wong 2000)] indicated that average equilibrium unit elling: Decision Chains and Hierarchies. Cambridge Uni-
prices for residentially developed parcels had positive spa- versity Press, New York.
tial autocorrelation over the entire region, confirming the Herbert, J., and B. Stevens. 1960. A Model of the Distribution
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CONCLUSIONS Lee, J., and D. Wong. 2000. Statistical Analysis with Arcview
GIS. John Wiley & Sons, Inc., New York.
This paper developed a model for distributing new house- Rouwendal, J., and E. Meijer. 2001. Preferences for Housing,
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application for Austin, Texas, a medium-sized urban Linear Programming and Spatial Interation Models of Resi-
region. The results were reasonable and tangible. Perhaps dential Location. Geographical Analysis, Vol. 6, pp.
most importantly, they suggested that microsimulation of 209238.
an entire region's land market was viable. The model used Tillema, T., D. Ettema, and B. van Wee. 2006. Road Pricing
here can be improved through more realistic developer and (Re)Location Decisions of Households. Presented at
tendencies of parcels (rather than, for example, a single- 85th Annual Meeting of the Transportation Research
valued FAR or solely single-family residential parcels) Board, Washington, D.C.
and consideration of additional policy tools (such as Van Ommeren, J., P. Rietveld, and P. Nijkamp. 1999. Job Mov-
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approaches herald a new wave of land use modeling tive. Journal of Urban Economics, Vol. 46, pp. 230253.
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