Estimating Bicycling and Walking for Planning and Project Development: A Guidebook (2014)

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117 Handy, S. L., Clifton, K., and Fisher, J., The Effectiveness of Land Use Policies as a Strategy for Reducing Automobile Dependence: A Study of Austin Neighborhoods. Research Report. Southwest Region Uni­ versity Transportation Center, The University of Texas at Austin. http://www.des.ucdavis.edu/faculty/handy/Austin_Report.pdf (October, 1998). Hood, J., E. Sall and B. Charlton. “A GPS­based Bicycle Route Choice Model for San Francisco, California.” Transportation Letters: The International Journal of Transportation Research (2011) 3: (63–75) Hunt, J. D., and J. E. Abraham. “Influences on Bicycle Use.” Springer Science+Business Media B. V., Calgary, Alberta (2006). Jones, M. G., et al. Seamless Travel: Measuring Bicycle and Pedestrian Activity in San Diego County and its Relationship to Land Use, Trans- portation, Safety and Facility Type. Alta Planning & Design and UC Berkeley Safe Transportation Education and Research Center for Caltrans, Task Order 6117 (2010). Kockelman, K. M. 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118 Appendix A: Seattle Tour-Generation and Mode-Choice Models Appendix B: Enhanced Four-Step Process Appendix C: Portland Pedestrian Model Enhancement Appendix D: Baltimore PedContext Model Appendix E: Baltimore MoPeD Model Appendix F: Portland Bicycle Route Choice Model Appendix G: Direct Demand Models Technical Appendix: Model Summaries