Local environment characteristics associated with walking and taking transit to shopping districts
Keywords:Pedestrian, Transit, Mode Choice, Shopping District, Mixed Logit
AbstractMixed logit modeling was used to identify local environment characteristics associated with walking and taking public transit to and from shopping districts. The analysis was based on 388 intercept survey responses and local environment data from 20 San Francisco Bay Area shopping districts. This study makes methodological advances by 1) evaluating an extensive set of explanatory variables (travel time and cost, socioeconomic characteristics, attitudes, perceptions, and local environment characteristics) within the same modeling process and 2) analyzing shopping mode choice within a tour-based framework. Travel time, travel cost, and respondent socioeconomic characteristics had expected relationships with mode choice. Walking to and from shopping districts was associated with shorter trip distances (i.e., shorter travel time relative to other modes). Transit use was associated with shopping district population density and proximity to a transit station. Automobile use was discouraged by higher employment densities and smaller parking lots. The results support strategies such as developing high-density, mixed-use activity hubs; reducing surface parking; and increasing the price of on-street parking to increase walking and taking transit to shopping districts.
Besser, L. and A. Dannenberg. 2005. “Walking to Public Transit: Steps to Help Meet Physical Activity Recommendations,” American Journal of Preventive Medicine, 29, pp. 273-280.
Black, C., A. Collins, and M. Snell. 2001. “Encouraging Walking: The Case of Journey-to-School Trips in Compact Urban Areas,” Urban Studies, Volume 38, pp. 1121-1141.
Bowman J.L. and M.E. Ben-Akiva. 2000. “Activity-Based Disaggregate Travel Demand Model System with Activity Schedules,” Transportation Research Part A, Volume 35, pp. 1-28.
Cantwell, M., Caulfield, B., and O’Mahony, M. 2009. “Examining the Factors that Impact Public Transport Commuting Satisfaction,” Journal of Public Transportation, Volume 12, Number 2, pp. 1-21.
Cao, X., P.L. Mokhtarian, and S.L. Handy. 2009. “Examining the Impacts of Residential Self-Selection on Travel Behaviour: A Focus on Empirical Findings,” Transport Reviews, Volume 29, Number 3, pp. 359-395, May.
Cervero, R. and M. Duncan. 2003. “Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area,” American Journal of Public Health, Volume 93, Number 9, September.
Cervero, R., C. Ferrell, and S. Murphy. 2002. Transit-Oriented Development and Joint Development in the United States: A Literature Review, Transit Cooperative Research Program, Research Results Digest, Number 52.
Chatman, D.G. 2009. “Residential Choice, the Built Environment, and Nonwork Travel: Evidence Using New Data and Methods,” Environment and Planning A, Volume 41, pp. 1072-1089.
Chen, C., H. Gong, and R. Paaswell. 2008. “Role of the Built Environment on Mode Choice Decisions: Additional Evidence on the Impact of Density,” Transportation, Volume 35, pp. 285-299.
Eboli L. and Mazzulla, G. 2008. “A Stated Preference Experiment for Measuring Service Quality in Public Transport,” Transportation Planning and Technology, Volume 31, Number 5, pp. 509-523.
Evans, J.E. 2004. “Chapter 9: Transit Scheduling and Frequency,” TCRP Report 95: Traveler Response to Transportation System Changes, Transit Cooperative Research Program, Transportation Research Board.
Ewing R. and R. Cervero. 2010. “Travel and the Built Environment: A Meta-Analysis,” Journal of the American Planning Association, Volume 76, Number 3, pp. 1-30, Summer.
Federal Highway Administration. 2009. National Household Travel Survey.
Frank, L., M. Bradley, S. Kavage, J. Chapman, and T.K. Lawton. 2008. “Urban Form, Travel Time, and Cost Relationships with Tour Complexity and Mode Choice, Transportation, Volume 35, Issue 1, pp. 37-54.
Handy, S.L., X. Cao, P.L. Mokhtarian. 2005. “Correlation or Causality between the Built Environment and Travel Behavior? Evidence from Northern California,” Transportation Research Part D, Volume 10, Number 6, pp. 427-444.
Jonnalagadda, N., J. Freedman, W.A. Davidson, and J.D. Hunt. 2001. “Development of Microsimulation Activity-Based Model for San Francisco: Destination and Mode Choice Models,” Transportation Research Record: Journal of the Transportation Research Board 1777, Transportation Research Board of the National Academies, Washington, DC, pp. 25-35.
Kim, S. and G.F. Ulfarsson. 2008. “Curbing Automobile Use for Sustainable Transportation: Analysis of Mode Choice on Short Home-Based Trips,” Transportation, Volume 35, pp. 723-737.
Kitamura, R. P. Mokhtarian, and L. Laidet. 1997. “A Micro-Analysis of Land Use and Travel in Five Neighborhoods in the San Francisco Bay Area,” Transportation, 24, pp. 125-158.
Krizek, K. 2003. “Neighborhood Services, Trip Purpose, and Tour-Based Travel,” Transportation, 30, pp. 387-410.
Krizek, K., A. Forsyth, and L. Baum. 2009. Walking and Cycling International Literature Review, Final Report, Department of Transport, State Of Victoria, Melbourne, Australia.
Long, L., J. Lin, and K. Proussaloglou. 2010. “Investigating Contextual Variability in Mode Choice in Chicago Using a Hierarchical Mixed Logit Model,” Urban Studies, Volume 47, Number 11, pp. 2445-2459.
Mackett, R.L. 2003. “Why do People use their Cars for Short Trips?” Transportation, Volume 30, pp. 329-349.
Manaugh, K. and A.M. El-Geneidy. 2013. “Does Distance Matter? Exploring the Links among Values, Motivations, Home Location, and Satisfaction in Walking Trips,” Transportation Research Part A, Volume 50, pp. 198-208.
Pratt, R.H. and Evans, J.E. 2004. “Chapter 10: Bus Routing and Coverage,” TCRP Report 95: Traveler Response to Transportation System Changes, Transit Cooperative Research Program, Transportation Research Board.
Purvis, C. 1997. Travel Demand Models for the San Francisco Bay Area (BAYCAST-90): Technical Summary, Metropolitan Transportation Commission, Oakland, CA, June.
Redman, L., Friman, M., Gärling, T., and Hartig, T. 2013. “Quality Attributes of Public Transport that Attract Car Users: A Research Review,” Transport Policy, Volume 25, pp. 119-127.
Rodriguez, D.A., S. Aytur, A. Forsyth, J.M. Oakes, and K.J. Clifton. 2008. “Relation of Modifiable Neighborhood Attributes to Walking,” Preventive Medicine, Voume 47, pp. 260–264.
Rubin, J. 2011. Choosing Transit: The Influence of Past Travel Behavior, Attitudes and Habits on Present Choices, A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in City and Regional Planning, University of California, Berkeley.
Ryley, T.J. 2008. “The Propensity for Motorists to Walk for Short Trips: Evidence from West Edinburgh,” Transportation Research Part A, Volume 42, pp. 620-628.
Saelens, B.E., J.F. Sallis, J.B. Black, and D. Chen. 2003. “Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation,” American Journal of Public Health, Volume 93, Number 9, pp. 1552-1558, September.
Schneider R.J., L.S. Arnold, and D.R. Ragland. 2009. “A Pilot Model for Estimating Pedestrian Intersection Crossing Volumes,” Transportation Research Record: Journal of the Transportation Research Board, Volume 2140, pp. 13-26.
Schneider, R.J. 2011. Understanding Sustainable Transportation Choices: Shifting Routine Automobile Travel to Walking and Bicycling, Available online, http://www.uctc.net/research/UCTC-DISS-2011-01.pdf, Accessed November 30, 2013.
Schneider, R.J., T. Henry, M.F. Mitman, L. Stonehill, and J. Koehler. 2012. “Development and Application of the San Francisco Pedestrian Intersection Volume Model,” Transportation Research Record: Journal of the Transportation Research Board, Volume 2299, pp. 65-78.
Schneider, R.J. 2013a. “Theory of Routine Mode Choice Decisions: An Operational Framework to Increase Sustainable Transportation,” Transport Policy, Volume 25, pp. 128-137.
Schneider, R.J. 2013b. “Measuring Transportation at a Human Scale: An Intercept Survey Approach to Capture Pedestrian Activity,” Journal of Transport and Land Use, Volume 6, Number 3, pp. 43-59.
Shoup, D.C. 1997. “The High Cost of Free Parking,” Journal of Planning Education and Research, Volume 17 pp. 3-20.
Steiner, R. 1998. “Trip Generation and Parking Requirements in Traditional Shopping Districts,” Transportation Research Record: Journal of the Transportation Research Board 1617, Transportation Research Board of the National Academies, Washington, DC, pp. 28-37.
Suminski, R.R., W.S. Poston, R.L. Petosa, E. Stevens, and L.M. Katzenmoyer. 2005. “Features of the Neighborhood Environment and Walking by U.S. Adults,” American Journal of Preventative Medicine, Volume 28, pp. 149-55.
Too, L., and Earl, G. 2010. “Public Transport Service Quality and Sustainable Development: A Community Stakeholder Perspective,” Sustainable Development, Volume 18, pp. 51-61.
Train, K. 2009. Discrete Choice Methods with Simulation, Second Edition, Cambridge, Cambridge University Press.
Vaca, E. and J.R. Kuzmyak. 2005. “Chapter 13: Parking Pricing and Fees,” TCRP Report 95: Traveler Response to Transportation System Changes, Transit Cooperative Research Program, Transportation Research Board.
Viton, P.A. 2004. “Will Mixed Logit Change Urban Transport Policies?” Journal of Transport Economics and Policy, Volume 38, Number 3, pp. 403-423.
Wasfi, R., N. Ross, and A. El-Geneidy. 2013. “Achieving Recommended Daily Physical Activity Levels through Commuting by Public Transportation: Unpacking Individual and Contextual Influences,” Health and Place, 23, 18-25.
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