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Innovations in Travel Demand Modeling, Volume 2: Papers (2008)

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Suggested Citation:"T57054 txt_068.pdf." National Academies of Sciences, Engineering, and Medicine. 2008. Innovations in Travel Demand Modeling, Volume 2: Papers. Washington, DC: The National Academies Press. doi: 10.17226/13678.
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average equilibrium unit prices near employment sites rose, and the average equilibrium unit prices far away from employment sites declined. This tendency was more significant for sites with single- employment centers (i.e., monocentric job) scenarios than for the corresponding scenarios with multiple employment sites. Moreover, for the six scenarios, Moran’s I- statistics [calculated on the basis of an inverse Euclidean- distance matrix (e.g., Lee and Wong 2000)] indicated that average equilibrium unit prices for residentially developed parcels had positive spa- tial autocorrelation over the entire region, confirming the visual information conveyed by the plots. By using Moran’s statistics, a clustering of households of similar income was observed, as expected. CONCLUSIONS This paper developed a model for distributing new house- holds and tracking home price fluctuations on the basis of microeconomic theories and microsimulation. Disag- gregate spatial data facilitated model calibration and application for Austin, Texas, a medium- sized urban region. The results were reasonable and tangible. Perhaps most importantly, they suggested that microsimulation of an entire region’s land market was viable. The model used here can be improved through more realistic developer tendencies of parcels (rather than, for example, a single- valued FAR or solely single- family residential parcels) and consideration of additional policy tools (such as roadway pricing and land regulation effects). Such approaches herald a new wave of land use modeling opportunities. REFERENCES Alonso, W. 1964. Location and Land Use. Harvard University Press, Cambridge, Mass. Anas, A., and R. Xu. 1999. Congestion, Land Use, and Job Dispersion: A General Equilibrium Model. Journal of Urban Economics, Vol. 45, pp. 451–473. Aptech Systems. 2003. GAUSS Mathematical and Statistical System 6.0. Aptech Systems, Inc., Maple Valley, Wash. Bina, M., and K. Kockelman. 2006. Location Choice vis- à- vis Transportation: The Case of Recent Home buyers. Pre- sented at 11th Conference of the International Association of Travel Behavior Research, Kyoto, Japan. Chang, J., and R. Mackett. 2005. A Bi- Level Model of the Relationship Between Transport and Residential Location. Transportation Research B, Vol. 40, pp. 123–146. Clark, W. A. V., Y. Huang, and S. Withers. 2003. Does Com- muting Distance Matter? Commuting Tolerance and Resi- dential Change. Regional Science and Urban Economics, Vol. 33, pp. 199–221. de la Barra, T. 1989. Integrated Land Use and Transport Mod- elling: Decision Chains and Hierarchies. Cambridge Uni- versity Press, New York. Herbert, J., and B. Stevens. 1960. A Model of the Distribution of Residential Activity in Urban Areas. Journal of Regional Science, Vol. 2, pp. 21–36. Irwin, E., and N. Bockstael. 2004. Land Use Externalities, Open Space Preservation, and Urban Sprawl. Regional Sci- ence and Urban Economics, Vol. 34, pp. 705–725. Lee, J., and D. Wong. 2000. Statistical Analysis with Arcview GIS. John Wiley & Sons, Inc., New York. Rouwendal, J., and E. Meijer. 2001. Preferences for Housing, Jobs, and Commuting: A Mixed Logit Analysis. Journal of Regional Science, Vol. 41, pp. 475–505. Senior, M., and A. Wilson. 1974. Explorations and Syntheses of Linear Programming and Spatial Interation Models of Resi- dential Location. Geographical Analysis, Vol. 6, pp. 209–238. Tillema, T., D. Ettema, and B. van Wee. 2006. Road Pricing and (Re)Location Decisions of Households. Presented at 85th Annual Meeting of the Transportation Research Board, Washington, D.C. Van Ommeren, J., P. Rietveld, and P. Nijkamp. 1999. Job Mov- ing, Residential Moving, and Commuting: A Search Perspec- tive. Journal of Urban Economics, Vol. 46, pp. 230–253. Von Thünen, J. H. 1826. Der Isolierte Staat in Beziehung auf Landwirtschaft und Nationalekonomie. Hamburg, Germany. Wingo, L. 1961. Transportation and Urban Land Use. Johns Hopkins University Press, Baltimore, Md. Zhou, B., and K. Kockelman. 2005. Neighborhood Impacts on Land Use Change: A Multinomial Logit Model of Spa- tial Relationships. Presented at 52nd Annual North Amer- ican Meeting of Regional Science Association Inter- national, Las Vegas, Nev. ADDITIONAL RESOURCE Berechman, J., and K. Small. 1988. Modeling Land Use and Transportation: An Interpretive Review for Growth Areas. Environment and Planning A, Vol. 20, pp. 1285–1309. 68 INNOVATIONS IN TRAVEL DEMAND MODELING, VOLUME 2

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TRB Conference Proceedings 42, Innovations in Travel Demand Modeling, Volume 2: Papers includes the papers that were presented at a May 21-23, 2006, conference that examined advances in travel demand modeling, explored the opportunities and the challenges associated with the implementation of advanced travel models, and reviewed the skills and training necessary to apply new modeling techniques. TRB Conference Proceedings 42, Innovations in Travel Demand Modeling, Volume 1: Session Summaries is available online.

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