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Incorporating land use in metropolitan transportation planning

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  • Waddell, Paul
  • Ulfarsson, Gudmundur F.
  • Franklin, Joel P.
  • Lobb, John

Abstract

In current practice, very few Metropolitan Planning Agencies attempt to capture the effects of transportation system changes on land use, and the consequent feedback effects on transportation system performance, despite substantial evidence that these effects may be significant. In this paper, we present a case study on the application of UrbanSim, a detailed land use simulation model system, and its integration with a regional travel demand model in the Greater Wasatch Front area of Utah. Like several other metropolitan areas, this region has recently been confronted with legal challenges to proposed highway projects, drawing substantial scrutiny to the land use-transportation connection. We describe the UrbanSim model specification, results from model estimation, and sensitivity analyses conducted with the combined land use and travel model system. The results of the sensitivity analysis suggest that accounting for the land use effects of a regional transportation plan may produce significant shifts in key transportation evaluation measures such as vehicle miles traveled, vehicle hours traveled, and hours of congestion delay.

Suggested Citation

  • Waddell, Paul & Ulfarsson, Gudmundur F. & Franklin, Joel P. & Lobb, John, 2007. "Incorporating land use in metropolitan transportation planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 382-410, June.
  • Handle: RePEc:eee:transa:v:41:y:2007:i:5:p:382-410
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    1. Zahra Kalantari & Sara Khoshkar & Helena Falk & Vladimir Cvetkovic & Ulla Mörtberg, 2017. "Accessibility of Water-Related Cultural Ecosystem Services through Public Transport—A Model for Planning Support in the Stockholm Region," Sustainability, MDPI, Open Access Journal, vol. 9(3), pages 1-16, February.
    2. Chorus, Caspar G. & Timmermans, Harry J.P., 2009. "Measuring user benefits of changes in the transport system when traveler awareness is limited," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 536-547, June.
    3. Mörtberg, Ulla & Goldenberg, Romain & Kalantari, Zahra & Kordas, Olga & Deal, Brian & Balfors, Berit & Cvetkovic, Vladimir, 2017. "Integrating ecosystem services in the assessment of urban energy trajectories – A study of the Stockholm Region," Energy Policy, Elsevier, vol. 100(C), pages 338-349.
    4. Marko Kryvobokov & Aurélie Mercier & Alain Bonnafous & Dominique Bouf, 2013. "Simulating housing prices with UrbanSim: predictive capacity and sensitivity analysis," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 31-44, March.
    5. Sevcíková, Hana & Raftery, Adrian E. & Waddell, Paul A., 2011. "Uncertain benefits: Application of Bayesian melding to the Alaskan Way Viaduct in Seattle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 540-553, July.
    6. Poulicos Prastacos & Nektarios Chrysoulakis, 2011. "Urban Atlas, land use modelling and spatial metric techniques," ERSA conference papers ersa11p1406, European Regional Science Association.
    7. Brian Lee & Paul Waddell, 2010. "Residential mobility and location choice: a nested logit model with sampling of alternatives," Transportation, Springer, vol. 37(4), pages 587-601, July.
    8. Hernández González, Yeray & Corral Quintana, Serafín, 2016. "An integrated assessment of alternative land-based passenger transport policies: A case study in Tenerife," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 201-214.
    9. Su, Hailong & Wu, Jia Hao & Tan, Yinghui & Bao, Yuanqiu & Song, Bing & He, Xinghua, 2014. "A land use and transportation integration method for land use allocation and transportation strategies in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 329-353.
    10. Marko Kryvobokov, 2015. "A two-level regional approach to residential location choice model," Letters in Spatial and Resource Sciences, Springer, vol. 8(2), pages 181-196, July.
    11. Yang Chen & Martha M. Bakker & Arend Ligtenberg & Arnold K. Bregt, 2016. "How Are Feedbacks Represented in Land Models?," Land, MDPI, Open Access Journal, vol. 5(3), pages 1-20, September.
    12. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    13. Natalie Wiseman & Zachary Patterson, 2016. "Testing block subdivision algorithms on block designs," Journal of Geographical Systems, Springer, vol. 18(1), pages 17-43, January.
    14. Canca, David & Zarzo, Alejandro & Algaba, Encarnación & Barrena, Eva, 2013. "Macroscopic attraction-based simulation of pedestrian mobility: A dynamic individual route-choice approach," European Journal of Operational Research, Elsevier, vol. 231(2), pages 428-442.
    15. Soria-Lara, Julio A. & Aguilera-Benavente, Francisco & Arranz-López, Aldo, 2016. "Integrating land use and transport practice through spatial metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 330-345.
    16. Karst T. Geurs & Michiel de Bok & Barry Zondag, 2012. "Accessibility benefi ts of integrated land use and public transport policy plans in the Netherlands," Chapters,in: Accessibility Analysis and Transport Planning, chapter 8, pages 135-153 Edward Elgar Publishing.

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