Traveler Response to Transportation System Changes Handbook, Third Edition: Chapter 15, Land Use and Site Design (2003)

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15-127 Table 15-61 Model Coefficients for Predicting Mode Share of Rockridge and Lafayette Residents Variables Work Model Coefficients Non-Work Model Coefficients Dependent Variable (mode share of:) Non-SOV Trips Non-Auto Trips Rockridge neighborhood (Rockridge=1, Lafayette=0) 0.2749 0.8291 Persons per household — 0.3067 San Francisco destination (yes=1, no=0) 3.2448 — Berkeley destination (yes=1, no=0) 1.2634 — Vehicles per household (cars, vans, utility trucks) -0.3236 -0.7798 Annual Salary of Respondent (in $10,000s) — -0.0149 Male Respondent (yes=1, no=0) 0.4549 — Age of Respondent (years) -0.0317 — Constant 0.4537 0.0798 Note: “—“ indicates variable not included in model. The Rockridge neighborhood variable gives some feel for the importance of the fine-grained texture and pedestrian-friendly environment of Rockridge as compared to the coarser land use mix and road network, and auto-oriented environment, of Lafayette. A graspable comparison offered within each model individually is the closeness in the absolute of the Rockridge coefficient and the vehicles per household coefficient. This may be taken as indicating that living in Rockridge’s traditional neighborhood environment is as important to selecting a non-SOV (or non-auto) travel mode as having one less vehicle in the household, for either work purpose or non-work travel. Sources: Cervero, R., and Radisch, C., Travel Choices in Pedestrian Versus Automobile Oriented Neighborhoods. Institute of Urban and Regional Development, University of California; Working Paper 644, Berkeley, CA (1995). • NTI — National Transit Institute, “Coordinating Transportation and Land Use Course Manual.” Rutgers University, New Brunswick, NJ, [2000]. • Added trip distance observations and model coefficient interpretations by the Handbook authors. For additional case studies that are closely related, see “Case Studies” in both Chapter 16, “Pedestrian and Bicycle Facilities,” and Chapter 17, “Transit Oriented Development.” REFERENCES Special Note: In addition to primary sources, this chapter’s “References” section covers those secondary sources included among primary sources in the first-column identifications of research projects in summary Tables 15-3, 15-7, 15-9, 15-10, 15-14, 15-16, 15-22, 15-23, 15-30, 15-32, and 15-41. Primary table sources are those identified in the “Sources” listing under the tables in question. 1000 Friends of Oregon, “Making the Connections — A Summary of the LUTRAQ Project.” Vol. 7, Portland, OR (February, 1997).

15-128 Bradley, M., Outwater, M. L., Jonnalagadda, N., and Ruiter, E., Estimation of an Activity-Based Microsimulation Model for San Francisco. Paper presented at the 80th Annual Meeting of the Transportation Research Board. Preprint CD-ROM. Washington, DC (2001). Brosnan, R., “Transit Oriented Development,” The Smart Growth Speaker Series. Oral presentation and visuals (updated 2001). Sponsored by the U.S. EPA, ICMA, the National Building Museum and the Smart Growth Network, Washington, DC (September 5, 2000). Burchell, R. W., and Listokin, D., Land, Infrastructure, Housing Costs, and Fiscal Impacts Associated with Growth. Rail-Volution Conference 1996: Building Successful Communities with Rail. Rutgers University (September 1996). Burchell, R. W., Lowenstein, G., Dolphin, W. R., Galley, C. C., Downs, A., Seskin, S., Still, K. G., Moore, T., “The Costs of Sprawl — 2000.” TCRP Report 74 (2002). Burchell, R. W., Shad, N. A., Listoken, D., Phillips, H., Downs, A., Seskin, S., Davis, J. S., Moore, T., Helton, D., Gall, M., “The Costs of Sprawl Revisited.” TCRP Report 39 (1998). Cambridge Systematics, Inc., Parsons Brinckerhoff, Mark Bradley Research & Consulting, CCS Planning & Engineering, Inc., Hausrath Economics Group, Hunt Analytics Incorporated, Lawton Consulting, and Corey, Canapary & Galanis, “San Francisco Travel Demand Forecasting Model Development.” Final Report. Prepared for San Francisco County Transportation Authority, San Francisco, CA (2002). Cambridge Systematics, “The Effects of Land Use and Travel Demand Strategies On Commuting Behavior.” Federal Highway Administration, Travel Model Improvement Program, Washington, DC (1994). Cambridge Systematics, S. H. Putman Associates, and Calthorpe Associates, “Model Modifications.” LUTRAQ Project, Vol. 4, 1000 Friends of Oregon, Portland, OR (1992). Cervero, R., America’s Suburban Centers: A Study of the Land Use — Transportation Link. Urban Mass Transit Administration, U.S. Department of Transportation, Washington, DC (1988). Cervero, R., America’s Suburban Centers: The Land Use — Transportation Link. Unwin-Hyman, Boston, MA (1989). Cervero, R., “Job-Housing Balance as Public Policy,” Urban Land, Vol. 50, No. 10 (1991a). Cervero, R., “Jobs-Housing Balance Revisited: Trends and Impacts in the San Francisco Bay Area,” Journal of the American Planning Association (1996a). Cervero, R., “Land Uses and Travel At Suburban Activity Centers.” Transportation Quarterly, Vol. 45, No. 4 (1991b). Cervero, R., “Mixed Land Uses and Commuting: Evidence from the American Housing Survey,” Transportation Research, Vol. 30A, No. 5 (1996b). Cervero, R., Urban Design Issues Related to Transportation Modes, Designs and Services for Neo- Traditional Developments. Urban Design, Telecommuting and Travel Forecasting Conference,

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