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Comprehensive Regional Modeling for Long-Range Planning: Linking Integrated Urban Models and Geographic Information Systems

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  • Johnston, Robert
  • de la Barra, Thomas

Abstract

This study demonstrates the sequential linking of two types of models to permit the comprehensive evaluation of regional transportation and land use policies. First, we operate an integrated urban model (TRANUS), which represents both land and travel markets with zones and networks. The travel and land use projections from TRANUS are outlined, to demonstrate the general reasonableness of the results, as this is the first application of a market-based urban model in the US. Second, the land use projections for each of the 58 zones in the urban model were fed into a Geographic Information System (GIS)-based land allocation model, which spatially allocates the several land uses within each zone according to simple accessibility rules. While neither model is new, this is one of the first attempts to link these two types of models for regional policy assessments. Other integrated urban models may be linked to other GIS land allocation models in this fashion. Pairing these two types of models allows the user to gain the advantages of the urban models, which represent spatial competition across a region and produce measures of user welfare (traveler and locator surplus), and the advantages of the GIS land allocation models, which produce detailed land use maps that can then be used for environmental impact assessment.

Suggested Citation

  • Johnston, Robert & de la Barra, Thomas, 2000. "Comprehensive Regional Modeling for Long-Range Planning: Linking Integrated Urban Models and Geographic Information Systems," Institute of Transportation Studies, Working Paper Series qt0f97v7sn, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt0f97v7sn
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    References listed on IDEAS

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    1. J D Hunt & D C Simmonds, 1993. "Theory and Application of an Integrated Land-Use and Transport Modelling Framework," Environment and Planning B, , vol. 20(2), pages 221-244, April.
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    Cited by:

    1. Merlin, Louis A. & Levine, Jonathan & Grengs, Joe, 2018. "Accessibility analysis for transportation projects and plans," Transport Policy, Elsevier, vol. 69(C), pages 35-48.
    2. Rodier, Caroline J, 2000. "Uncertainty in Travel and Emissions Models: A Case Study in the Sacramento Region," University of California Transportation Center, Working Papers qt7cg7f9dd, University of California Transportation Center.
    3. Bin Zhou & Kara Kockelman, 2008. "Neighborhood impacts on land use change: a multinomial logit model of spatial relationships," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 321-340, June.
    4. Nina Schwarz & Dagmar Haase & Ralf Seppelt, 2010. "Omnipresent Sprawl? A Review of Urban Simulation Models with Respect to Urban Shrinkage," Environment and Planning B, , vol. 37(2), pages 265-283, April.
    5. Xianchun Tan & Tangqi Tu & Baihe Gu & Yuan Zeng & Tianhang Huang & Qianqian Zhang, 2021. "Assessing CO 2 Emissions from Passenger Transport with the Mixed-Use Development Model in Shenzhen International Low-Carbon City," Land, MDPI, vol. 10(2), pages 1-19, February.
    6. David Hensher & Tu Ton, 2002. "TRESIS: A transportation, land use and environmental strategy impact simulator for urban areas," Transportation, Springer, vol. 29(4), pages 439-457, November.
    7. Timothy Welch & Sabyasachee Mishra, 2014. "Envisioning an emission diet: application of travel demand mechanisms to facilitate policy decision making," Transportation, Springer, vol. 41(3), pages 611-631, May.

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