Abstract
The field of Walkable Neighborhood Systems is about neighborhoods as systems of land use, mobility, and transportation pricing, and how they can be understood as dense areas delineated by attractive walking distances. To date, four papers have been published in this field: Neighborhood density and travel mode (Lewis in Int J Sustain Dev World Ecol, 2018. https://doi.org/10.1080/13504509.2017.1321052), Walkable Neighborhood Systems (Lewis and Adhikari), San Francisco’s neighborhoods and auto dependency (Lewis and Grande in Cities, 2019. https://doi.org/10.1016/j.cities.2018.12.017), and the Mismeasurement of Mobility for Walkable Neighborhood Systems (Lewis et al., Mismeasurement of Mobility for Walkable Neighborhood Systems, Mineta Transportation Institute, 2020). This paper summarizes the concepts and definitions of the field and replicates for Boston the methodology used in the San Francisco case study. We found 54 Boston neighborhoods using maps in a GIS and guidelines to determine neighborhood boundaries based on walking distances and land use. We establish much higher accuracy than using census blocks. We analyze neighborhood density as our independent variable and three dependent variables: sustainable modes (mode split), food sources, and walk score. The data is presented in tables, correlations, and choropleth-based graphics. Density correlated strongly with the dependent variables. The paper concludes with ideas about how to improve the performance of Walkable Neighborhood Systems for affordability, sustainability, mobility, health and safety, design, and community.
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References
Bento, A., Cropper, M., Mobarak, A., & Vinha, K. (2005). The effects of urban spatial structure on travel demand in the United States. Review of Economics and Statistics, 85(3), 466–478.
Boarnet, M. & Handy, S. (2014). Impacts of residential density on passenger vehicle use and greenhouse gas emissions; Policy Brief, California Air Resources Board. https://www.arb.ca.gov/cc/sb375/policies/density/residential_density_brief.pdf.
Boarnet, M., Houston, D., Ferguson, G., & Spears, S. (2011). Land use and vehicle miles of travel in the climate change debate. In G. Ingram & Y. Hong (Eds.), Climate change and land policies (pp. 151–187). Lincoln Institute of Land Policy.
Boston Redevelopment Authority (BRA). (2010). Population density by census block. http://www.bostonplans.org/getattachment/6d0e3066-e00f-4cee-8ec3-1fe7b561ffec/.
Boyko, C., & Cooper, R. (2011). Clarifying and re-conceptualising density. Progress in Planning, 76(1), 1–61. https://doi.org/10.1016/j.progress.2011.07.001
Brownstone, D., & Golob, T. (2008). The impact of residential density on vehicle usage and energy consumption. Journal of Urban Economics, 65, 91–98.
Cervero, R., & Kockelman, K. (1997). Travel demand and the 3Ds: Density, diversity, and design. Transportation Research Part d: Transport and Environment, 2(3), 199–219.
Chatman, D. G. (2008). Deconstructing development density: Quality, quantity and price effects on household non-work travel. Transportation Research A, 42, 1008–1030.
Chen, C., Gong, H., & Paaswell, R. (2008). Role of the built environment on mode choice decisions: Additional evidence on the impact of density. Transportation, 35, 285. https://doi.org/10.1007/s11116-007-9153-5
De Siqueira, G., Adeel, A., Pasha, P., Balushi, A. A., & Shah, S. A. R. (2021). Sustainable transportation and policy development: A study for impact analysis of mobility patterns and neighborhood assessment of walking behavior. Sustainability, 13, 1871. https://doi.org/10.3390/su13041871
Ewing, R., & Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American Planning Association, 76(3), 265–294.
Ewing, R., & Cervero, R. (2017). Does compact development make people drive less? The answer is yes. Journal of the American Planning Association, 83(1), 19–25. https://doi.org/10.1080/01944363.2016.1245112
Ewing, R., Pendall, R., & Chen, D. (2003). Measuring sprawl and its transportation impacts. Transportation Research Record, 1831, 1. https://doi.org/10.3141/1831-20
Frank, L., Schmid, T., Sallis, J., Chapman, J., & Saelens, B. (2005). Linking objectively measured physical activity with objectively measured urban form. American Journal of Preventive Medicine. https://doi.org/10.1016/j.amepre.2004.11.001
Gehrke, S. (2017). Land use mix and pedestrian travel behavior: advancements in conceptualization and measurement. Dissertation. Portland State University.
Holtzclaw, J. (1994). Using residential patterns and transit to decrease auto dependence and costs. Natural Resources Defense Council.
Leck, E. (2006). The impact of urban form on travel behavior: A meta-analysis. Berkeley Planning Journal, 19, 1.
Leinberger, C., & Lynch, P. (2015). The WalkUP Wake-Up Call: Boston. George Washington University School of Business.
Lewis, S. (2018). Neighborhood density and travel mode: New survey findings for high densities. International Journal of Sustainable Development & World Ecology. https://doi.org/10.1080/13504509.2017.1321052
Lewis, S., & Adhikari, K. (2017). Walkable neighborhood systems. Growth and Change. https://doi.org/10.1111/grow.12185
Lewis, S., & Grande, E. (2019). San Francisco’s neighborhoods and auto dependency. Cities. https://doi.org/10.1016/j.cities.2018.12.017
Lewis, S., Grande, E., & Robinson, R. (2020). Mismeasurement of mobility for walkable neighborhood systems. Mineta Transportation Institute.
Litman, T. (2018). Evaluating criticism of smart growth. Victoria Transport Policy Institute.
Litman, T. (2022). Land use impacts on transport: How land use factors affect travel behavior. Victoria Transport Policy Institute.
Melia, S., Barton, H., & Parkhurst, G. (2011). The paradox of intensification. Transport Policy, 18(1), 46–52.
Moudon, A., & Hess, P. (2000). Suburban clusters: The nucleation of multifamily housing in suburban areas in the Central Puget Sound. JAPA, 66(3), 243–263.
Moudon, A., Hess, P., Snyder, M., & Stanilov, K. (1997). Effects of site design on pedestrian travel in mixed-use, medium-density environments. TRB. https://doi.org/10.3141/1578-07
National Research Council (NRC). (2009). Driving and the Built Environment: The Effects of Compact Development on Motorized Travel, Energy Use, and CO2 Emissions. Committee on Relationships Among Development Patterns, Vehicle Miles Traveled, and Energy Consumption. Washington, D.C.: National Academies Press.
Oakes, J., Forsyth, A., & Schmitz, K. (2007). The effects of neighborhood density and street connectivity on walking behavior: The Twin Cities walking study. Epidemiologic Perspectives & Innovations, 4(1), 16. http://epiperspectives.biomedcentral.com/articles/10.1186/1742-5573-4-16
Saelens, B., & Handy, S. (2008). Built environment correlates of walking: A review. Medicine and Science in Sports and Exercise, 40(7 Suppl), S550–S566. https://doi.org/10.1249/MSS.0b013e31817c67a4
Saelens, B., Sallis, J., & Frank, L. (2003). Environmental correlates of walking and cycling findings from the transportation, urban design, and planning literatures. Annals of Behavioral Medicine. https://doi.org/10.1207/S15324796ABM2502_03
Salon, D. (2009). Neighborhoods, cars, and commuting in New York City: A discrete choice approach. Transportation Research Part A Policy and Practice, 43(2), 180–196. https://doi.org/10.1016/j.tra.2008.10.002
Steinmetz-Wood, M., El-Geneidy, A., & Ross, N. A. (2020). Moving to policy-amenable options for built environment research: The role of micro-scale neighborhood environment in promoting walking. Health & Place, 66, 102462. https://doi.org/10.1016/j.healthplace.2020.102462
Stevens, M. (2016). Does compact development make people drive less? Journal of the American Planning Association, 83, 7–18. https://doi.org/10.1080/01944363.2016.1240044
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The Hayward Area Planning Association, a non-profit supported by individual donations, paid the research assistants.
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Conceptualization: SL, EG. Methodology: EG, SL. Formal analysis and investigation: EG, SL. Writing—original draft preparation: SL. Writing—review and editing: SL, RR. Funding acquisition: SL. Resources: SL, EG. Supervision: SL.
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Lewis, S., Grande, E. & Robinson, R. Boston’s Walkable Neighborhood Systems: delineation and performance. GeoJournal 88, 4049–4079 (2023). https://doi.org/10.1007/s10708-023-10848-z
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DOI: https://doi.org/10.1007/s10708-023-10848-z