Assessing Walkability in the City of Buffalo: Application of Agent-Based Simulation
Publication: Journal of Urban Planning and Development
Volume 139, Issue 3
Abstract
Significant research has been conducted on how environmental attributes influence people’s decisions to walk. In much of this research, however, environmental attributes are averaged for neighborhoods or census geographies for sampled populations. Moreover, the effect of an agent’s walking choices on other actors is not adequately represented by either objective or perceived measures in the literature. Macro-level patterns of walkability arise from interactions across actors and urban environments. The agent-based approach allows for modeling individual uses of the environment by treating the populations as objects that can interact with the environment and other people. This study builds on previous research on pedestrian movement and geographic information system (GIS) measures of the built environment using the agent-based approach to explore the dynamics of the built environment and people’s decision-making processes concerning walking. The results show that models that take individual perspective into account and include social interaction can better capture characteristics of the built and social environment that influence people’s walking choices. This method lays out a new framework for assessing macro-level patterns of walkability across a city using micro-level data.
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References
Al-Azzawi, M., and Raeside, R. (2007). “Modeling pedestrian walking speeds on sidewalks.” J. Urban Plann. Dev., 133(3), 211–219.
Albert, G., Abo-Kalla, H., and Baron, M. (2011). “Transport and environmental variables and the impact of cultural differences on playground use.” J. Urban Plann. Dev., 137(3), 291–297.
American Planning Association. (2007). Great places in America: Neighborhoods, 〈http://www.planning.org/greatplaces/neighborhoods/elmwoodvillage.htm〉 (Oct. 14, 2007).
Amistad, F. T. (2010). “Assessment of the pedestrianization policy in Vigan City: UNESCO world heritage site.” J. Urban Plann. Dev., 136(1), 11–22.
Appleyard, D., Gerson, S., and Lintell, M. (1981). Livable streets, University of California Press, Berkeley, CA.
Aultman-Hall, L., Roorda, M., and Baetz, B. W. (1997). “Using GIS for evaluation of neighborhood pedestrian accessibility.” J. Urban Plann. Dev., 123(1), 10–17.
Axtell, R. (2003). A positive theory of emergence for multi-agent systems, Working paper, Center on Social and Economic Dynamics, Brookings Institution, Washington, DC.
Ben-Joseph, E., and Warner, S. B. (2011). “Child streets.” J. Urban Plann. Dev., 137(4), 365–369.
Benenson, I., Omer, I., and Hatna, E. (2002). “Entity-based modeling of urban residential dynamics: The case of Yaffo, Tel Aviv.” Environ. Plann. Part B, 29(4), 491–512.
Burke, R. (2002). Getting to know Arcobjects, ERSI Press, Redlands, CA.
Campbell, B., Zegeer, C., Huang, H., and Cynecki, M. (1998). Pedestrian safety research in the U.S., Federal Highway Administration, Institute of Transportation Engineers, Design and Safety of Pedestrian Fatalities, Washington, DC.
Centers for Disease Control and Prevention (CDC). (2004). “Healthy communities: what local governments can do to reduce and prevent obesity.” 〈http://www.cdc.gov/obesity/stateprograms/resources.html〉.
Cervero, R., and Duncan, M. (2003). “Walking, bicycling, and urban landscapes: evidence from the San Francisco Bay area.” Am. J. Public Health, 93(9), 1478–1483.
Cervero, R., and Kockelman, K. (1997). “Travel demand and the 3Ds: density, diversity, and design.” Transport. Res. D., 2(3), 199–219.
Cervero, R., and Radisch, C. (1995)., Univ. of California at Berkeley, Berkeley, CA.
Crooks, A., Castle, C., and Batty, M. (2008). “Key challenges in agent-based modelling for geo-spatial simulation.” Comput. Environ. Urban Syst., 32(6), 417–430.
Day, K. (2006). “Active living and social justice: Planning for physical activity in low-income, Black, and Latino communities.” J. Am. Plann. Assoc., 72(1), 82–99.
Doyle, S., Kelly-Schwartz, A., Schlossberg, M., and Stockard, J. (2006). “Active community environments and health.” J. Am. Plann. Assoc., 72(1), 19–31.
Ewing, R. (2005). “Can the physical environment determine physical activity levels?” Exercise Sport Sci. Rev., 33(2), 69–75.
Ewing, R., et al. (2011). “Traffic generated by mixed-use developments: Six-region study using consistent built environmental measures.” J. Urban Plann. Dev., 137(3), 248–261.
Finkelstein, E. A., Fiebelkorn, I. C., and Wang, G. (2003). “National medical spending attributable to overweight and obesity: how much, and who’s paying?.”Health Affairs, Suppl. W3-219-26.
Forsyth, A., Hearst, M., Oakes, J. M., and Schmitz, K. H. (2008). “Design and destinations: Factors influencing walking and total physical activity.” Urban Stud., 45(9) 1973–1996.
Frank, L., Andresen, M., and Schmid, T. (2004). “Obesity relationships with community design, physical activity, and time spent in cars.” Am. J. Preventive Med., 27(2), 87–96.
Frank, L., and Engelke, P. (2001). “The built environment and human activity patterns: Exploring the impacts of urban form on public health.” J. Plann. Lit., 16(2), 204–216.
Frank, L., Sallis, J., Conway, T., Chapman, J., Saelens, B., and Bachman, W. (2006). “Many pathways from land use to health.” J. Am. Plann. Assoc., 72(1), 75–87.
Frank, L. D., and Engelke, P. O. (2002). “The built environment and human activity patterns: Exploring the impacts of urban form on public health.” J. Plann. Lit., 16(2), 202–218.
Handy, E., Boarnet, M., Ewing, R., and Killingsworth, R. (2002). “How the built environment affects physical activity: views from urban planning.” Am. J. Prev. Med., 23(2), 64–73.
Hillier, B., Burdett, R., Peponis, J., and Penn, A. (1987). “Creating life: or, does architecture determine anything?” Archit. Behav., 3(3), 233–250.
Hillier, B., and Hanson, J. (1984). The social logic of space, Cambridge University Press, Cambridge, UK.
Hillier, B., Hanson, J., Peponis, J., Hudson, J., and Burdett, R. (1983). “Space syntax: A different urban perspective.” Archit. J., 178(48), 47–63.
Hillier, B., Iida, S. (2005). “Network and psychological effects in urban movement.” Spatial information theory, Proc., Conf. on Spatial Information Theory, Lecture Notes in Computer Science, A. G. Cohn and D. M. Mark, eds., Vol. 3693, Springer, Berlin, 475–490.
Hillier, B., and Shu, S. (2000). “Crime and urban layout: the need for evidence.” Secure foundations: key issues in crime prevention, S. Ballintyne, K. Pease, and V. McLaren, eds., Crime Reduction and Community Safety, Institute of Public Policy Research, London, 224–248.
Humpel, N., Owen, N., and Leslie, E. (2002). “Environmental factors associated with adults’ participation in physical activity: A review.” Am. J. Preventive Med., 22(3), 188–199.
Jiang, B., Claramunt, C., and Klarqvist, B. (2000). “An integration of space syntax into GIS for modelling urban spaces.” Int. J. Appl. Earth Observ. Geoinform., 2(3–4), 161–171.
Kitamura, R., Mokhtarian, P. A., and Laidet, L. (1997). “A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area.” Transportation, 24(2), 125–158.
Krizek, K. J., and Johnson, P. J. (2006). “Proximity to trails and retail: effects on urban cycling and walking.” J. Am. Plann. Assoc., 72(1), 33–42.
Knoblauch, R., Nitzburg, M., Dewar, R., Templer, J., and Pietrucha, M. (1995). Older pedestrian characteristics for use in highway design, Office of Safety and Traffic Operations Research and Development, Federal Highway Administration, Washington, DC.
Knoblauch, R. L., Pictrucha, M. T., and Nitzburg, M. (1996). “Field studies of pedestrian walking speed and start-up time.” Transportation Research Record 1538, Transportation Research Board, Washington, DC, 27–38.
Landis, B., Ottenberg, R., and Vattikuti, V. (1999). The roadside pedestrian environment: Toward a comprehensive level of service, Paper 990570, Transportation Research Board, National Research Council, Washington, DC.
Lewin, K. (1951). Field theory in social science: selected theoretical papers, Harper & Row, Oxford, England.
Lin, J., and Chang, H. (2010). “Built environment effects on children’s school travel in Taipai: Independence and travel mode.” Urban Stud., 47(4), 867–889.
Lotfi, S., and Koohsari, M. J. (2011). “Neighborhood walkability in a city within a developing county.” J. Urban Plann. Dev., 137(4), 402–408.
Milazzo, J. S., Rouphail, N. M., Hummer, J. E., and Alien, D. P. (1999). “Quality of service for interrupted-flow pedestrian facilities in Highway Capacity Manual 2000.” Transportation Research Record 1678, Transportation Research Board, Washington, DC, 25–31.
Moudon, A. V., Hess, P., Snyder, M. C., and Stanilov, K. (1997). “Effects of site design on pedestrian travel in mixed-use, medium-density environments.” Transportation Research Record 1578, Transportation Research Board, Washington, DC, 48–55.
Morland, K., Diez Roux, A. V., and Wing, S. (2006). “Supermarkets, other food stores, and obesity: The atherosclerosis risk in communities study.” Am. J. Preventive Med., 30(4), 333–339.
Owens, P. (1993). “Neighborhood form and pedestrian life: Taking a closer look.” Landsc. Urban Plann., 26(1–4), 115–135.
Parker, D. C., Manson, S. M., Janssen, M. A., Hoffman, M. J., and Deadman, P. (2003). “Multi-agent systems for the simulation of land-use and landcover change: A review.” Ann. Assoc. Am. Geogr., 93(2), 314–337.
Power, C., Simms, A., and White, R. (2001). “Hierarchical fuzzy pattern matching for the regional comparison of land use maps.” Int. J. Geogr. Inf. Sci., 15(1), 77–100.
Rahaman, K. R., Lourenco, J. M., and Viegas, J. M. (2012). “Perceptions of pedestrians and shopkeepers in European medium-sized cities: Study of Guimaraes, Portugal.” J. Urban Plann. Dev., 138(1), 26–34.
Raja, S., Yin, L., Roemmich, J., Ma, C., Epstein, L., and Yadav, P. (2010). “Food environment, built environment, and women's BMI: evidence from Erie County, New York.” J. Plann. Educ. Res., 29(4), 444–460.
Randall, T. A., and Baetz, B. W. (2001). “Evaluating pedestrian connectivity for suburban sustainability.” J. Urban Plann. Dev., 127(1), 1–15.
Rodriguez, D. A., Khattak, A. J., and Evenson, K. R. (2006). “Can new urbanism encourage physical activity? Comparing a new urbanist neighborhood with conventional suburbs.” J. Am. Plann. Assoc., 72(1), 43–54.
Roemmich, J. N., Epstein, L. H., Raja, S., and Yin, L. (2007). “The neighborhood and home environments: Disparate relationships with physical activity and sedentary behaviors in youth.” Ann. Behav. Med., 33(1), 29–38.
Roemmich, J. N., Epstein, L. H., Raja, S., Yin, L., Robinson, J., and Winiewicz, D. (2006). “Influence of access to parks and recreational facilities on the physical activity of young children.” Preventive Med., 43(6), 437–441.
Saelens, B., Sallis, J., and Frank, L. (2003). “Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures.” Ann. Behav. Med., 25(2), 80–91.
Sallis, J. F., Frank, L. D., Saelens, B. E., and Kraft, M. K. (2004). “Active transportation and physical activity: Opportunities for collaboration on transportation and public health research.” Transport. Res. A, 38(4), 249–268.
Samimi, A., and Mohammadian, A. K. (2010). “Health impacts of urban development and transportation systems.” J. Urban Plann. Dev., 136(3), 208–213.
Shriver, K. (1997). “Influence of environmental design on pedestrian travel behavior in four Austin neighborhoods.” Transportation Research Record 1578, Transportation Research Board, Washington, DC, 64–75.
Southworth, M. (2005). “Designing the walkable city.” J. Urban Plann. Dev., 131(4), 246–257.
Torrens, P. M., Li, X., and Griffin, W. A. (2011). “Building agent-based walking models by machine-learning on diverse databases of space-time trajectory samples.” Trans. Geogr. Inf. Sci., 15(s1), 67–94.
Ueno, J., Nakazawa, A., and Kishimoto, T. (2009). “An analysis of pedestrian movement in multilevel complex by space syntax theory—In the case of Shibuya Station.” Proc., 7th Int. Space Syntax Symp., KTH, Stockholm.
Warburton, D. E., Nichol, C. W., and Bredin, S. S. (2006). “Health benefits of physical activity: The evidence.” Can. Med. Assoc. J., 174(6), 801–809.
White, R. (2006). “Pattern base map comparisons.” J. Geogr. Syst., 8(2), 145–164.
Whyte, W. H. (1988). City: Rediscovering the center, Doubleday, New York.
Williamson, D. (1999). “The prevention of obesity.” New Engl. J. Med., 341(15), 1140–1141.
Yin, L. (2009). “The dynamics of residential segregation in Buffalo: An agent-based simulation.” Urban Stud., 46(13), 2749–2770.
Yin, L. (2010). “Modeling cumulative effects of wildfire hazard policy and exurban household location choices: An application of agent-based simulations.” Plann. Theory Pract., 11(3), 375–396.
Yin, L., and Muller, B. (2007). “Residential location and the biophysical environment: Exurban development agents in a heterogeneous landscape.” Environ. Plann. Part B, 34(2), 279–295.
Zacharias, J., Bernhardt, T., and de Montigny, L. (2005). “Computer-simulated pedestrian behavior in shopping environment.” J. Urban Plann. Dev., 131(3), 195–200.
Zweig, C., Seiderman, C., Lagerway, P., Cynecki, M., Ronkin, M., and Schneider, R. H. (2002). Pedestrian facilities user’s guide: Providing safety and mobility, Office of Safety and Traffic Operations Research and Development, Federal Highway Administration, Washington, DC.
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Published In
Journal of Urban Planning and Development
Volume 139 • Issue 3 • September 2013
Pages: 166 - 175
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Sep 8, 2011
Accepted: Feb 7, 2013
Published online: Feb 9, 2013
Discussion open until: Jul 9, 2013
Published in print: Sep 1, 2013
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