Capturing the built environment-travel interaction for strategic planning: Development of a multimodal travel module for the Regional Strategic Planning Model (RSPM)

Liming Wang

Portland State University

Brian Gregor

Oregon System Analytics, LLC

Huajie Yang

Portland State University

Tara Weidner

Oregon Department of Transportation

Tony Knudson

Oregon Department of Transportation

DOI: https://doi.org/10.5198/jtlu.2018.1191


Abstract

Integrated land use and transportation models have evolved along a spectrum from simple sketch planning models to complex microsimulation models. While each has its niche, they are largely unable to balance the flexibility and realism of microsimulation and the speed and interactivity of simple models. The Regional Strategic Planning Model (RSPM) aims to fill this gap by taking a microsimulation approach while making other simplifications in order to model first-order effects quickly. It enables planners to consider the robustness of prospective policies in the face of future uncertainties by accepting a broad range of inputs and allowing rapid simulations of many scenarios. This paper introduces the RSPM and shows how new land use and multimodal transportation sensitivities have been incorporated through the conversion to the new VisionEval open-source framework. Land use and transportation interactions in the RSPM are reviewed, and the development of a new multimodal travel demand module with improved land use sensitivities is highlighted. The use of a unique nationwide dataset combining the 2009 NHTS, EPA’s Smart Location Database, and metropolitan transit and roadway data is explained. The paper concludes with the results of validation and sensitivity tests, and a discussion of future work.

References

Avin, U., Cambridge Systematics, Inc, Patnode, P., 2016. Sketch Planning Tools for Regional Sustainability (No. NCHRP 08-36/Task 117). The AASHTO Standing Committee on Planning, Washington, D.C.

Box, G.E.P., Cox, D.R., 1964. An Analysis of Transformations. Journal of the Royal Statistical Society. Series B (Methodological) 26, 211–252.

Cervero, R., Kockelman, K., 1997. Travel Demand and the 3Ds: Density, Diversity, and Design. Transportation Research Part D: Transport and Environment 2, 199–219. doi:10.1016/S1361-9209(97)00009-6

Cervero, R., Murakami, J., 2010. Effects of built environments on vehicle miles traveled: Evidence from 370 US urbanized areas. Environment and planning A 42, 400–418.

Clifton, K., Bigazzi, A., 2011. Refining GreenSTEP: Impacts of Vehicle Technologies and ITS/Operational Improvements on Travel Speed and Fuel Consumption Curves. Portland State University, Portland, OR.

Clifton, K., Gregor, B., 2012. Development of Decision Tool for Strategies to Reduce Greenhouse Gas Emissions. Transportation Research Record: Journal of the Transportation Research Board 2291, 124–134. doi:10.3141/2291-14

Donnelly, R., Erhardt, G.D., Moeckel, R., Davidson, W.A., 2010. NCHRP Synthesis 406: Advanced Practices in Travel Forecasting. The National Academies Press, Washington, D.C.

Ewing, R., Cervero, R., 2010. Travel and the Built Environment - A Meta-Analysis. Journal of the American Planning Association 76, 265–294.

Ewing, R., Cervero, R., 2001. Travel and the Built Environment: A Synthesis. Transportation Research Record: Journal of the Transportation Research Board 1780, 87–114. doi:10.3141/1780-10

FHWA Office of Planning, Policy, and Realty, 2016. EERPAT - Energy and Emissions Reduction Policy Analysis Tool Version 3.0 (No. FHWA-HEPN-10). U.S. Department of Transportation, Federal Highway Administration, Washington, D.C.

Gandrud, C., 2015. Reproducible Research with R and R Studio, Second Edition, 2 edition. ed. Chapman and Hall/CRC, Boca Raton.

Glaeser, E.L., Kahn, M.E., 2008. The Greenness of Cities: Carbon Dioxide Emissions and Urban Development (Working Paper No. 14238). National Bureau of Economic Research. doi:10.3386/w14238

Gregor, B., 2016. RVMPO Metropolitan Planning Area Scenario Viewer [WWW Document]. URL https: //gregorbj.github.io/RSPM-Viewer/ (accessed 3.26.17).

Gregor, B., 2015. GreenSTEP & RSPM Model Version 3.5 Technical Documentation [WWW Document]. URL https://github.com/gregorbj/RSPM/tree/master/Version_3.5/Documentation (accessed 3.26.17).

Gregor, B., Weidner, T., Raw, J., 2016. VisionEval: A Model System and Software Framework for the Collaborative Development of Regional Strategic Planning Models, in:. Presented at the 6th transportation research board conference on innovations in travel modeling, Denver, CO.

Hastie, T., Tibshirani, R., Friedman, J., 2016. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition, 2nd edition. ed. Springer, New York, NY.

Hunt, J.D., Kriger, D.S., Miller, E.J., 2005. Current Operational Urban Land-Use: A Review. Transport Reviews 25, 329–376. doi:10.1080/0144164052000336470

Levinson, D.M., Krizek, K.J., 2008. Planning for Place and Plexus: Metropolitan Land Use and Transport, 1 edition. ed. Routledge, New York ; London.

National Cooperative Highway Research Program, 2015. Foresignt Report 750: Strategic Issues Facing Transportation.

Oak Ridge National Laboratory, 2011. Developing a Best Estimate of Annual Vehicle Mileage for 2009 NHTS Vehicles. Federal Highway Administration, Washington, D.C.

Oregon Department of Transportation, Planning Section, 2012. Oregon Statewide Transportation Strategy: A 2050 Vision for Greenhouse Gas Emissions Reduction (No. Volum 2 Technical Appendices). Salem, OR.

Oregon State Legislature, 2015. Oregon Revised Statutes 468A.205.

Oregon State Legislature, 2010. Chapter 85 Oregon Laws SB 1059.

Outwater, M., Collin, S., J. Walters, B. Welch, R. Cervero, 2014. SHRP 2 Report S2-C16-RR-1: Effect of Smart Growth Policies on Travel Demand. The National Academies Press, Washington, D.C.

Pietz, A., Gregor, B., 2014. Oregon Statewide Transportation Strategy.

Transportation Research Record: Journal of the Transportation Research Board 2454, 45–52. doi:10.3141/2454-06

R Core Team, 2017. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.

Ramsey, K., Bell, A., 2014. Smart Location Database: Version 2.0 User Guide. US Environment Protection Agency, Washington, DC 20460.

Stevens, M.R., 2017. Does Compact Development Make People Drive Less? Journal of the American Planning Association 83, 7–18. doi:10.1080/01944363.2016.1240044

Texas A&M Transportation Institute, 2015. Urban Mobility Report. College Station, TX.

USDOT Federal Highway Administration, 2011. 2009 National Household Travel Survey.

USDOT Federal Transit Administration, 2009. National Transiti Database.

USDOT Federal Transit Administration, Washington, DC.

Waddell, P., 2011. Integrated Land Use and Transportation Planning and Modelling: Addressing Challenges in Research and Practice. Transport Reviews 31, 209–229. doi:10.1080/01441647.2010.525671