Chapter
Jan 20, 2022

Improving Walkability by Focusing on Residents’ Needs and Neighborhood’s Built Environment

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Publication: Leveraging Sustainable Infrastructure for Resilient Communities

ABSTRACT

While the benefits of walkability are clear, it could be difficult how to determine the best approach to budgeting on sidewalk development decisions in order to maximize the efficiency of the investment. This paper presents a methodology and a tool to evaluate the walkability of different areas in a city with focus on the gap between walk needs of residents and built environment of the neighborhood. To do that, we first characterize walkability and the most contributing socio-demographic variables on it, like trip purpose, number of vehicles in the household, and the age of individuals. Next, through running principal component analysis, we define a unique index for walkability, which is used to find areas with greatest demand of walkability in their neighborhood through hotspot analysis. Finally, using the Pedestrian Environment Index as an indicator for walkability supply of the neighborhood, we identify the most efficient places to develop sidewalk by finding the gap between demand and supply of walkability in each neighborhood. In addition to providing an informative location-based measure for policymakers, the methodology opens avenues to address some equity concerns related to walkability and prioritize neighborhoods for any improvement based on the needs of the residents.

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REFERENCES

Battista, G. A., and Manaugh, K. (2018). Stores and mores: Toward socializing walkability. Journal of Transport Geography, 67, 53–60.
Bereitschaft, B. (2017). Equity in microscale urban design and walkability: A photographic survey of six Pittsburgh streetscapes. Sustainability, 9(7), 1233.
Bödeker, M., Finne, E., Kerr, J., and Bucksch, J. (2018). Active travel despite motorcar access. A city-wide, GIS-based multilevel study on neighborhood walkability and active travel in Germany. Journal of Transport & Health, 9, 8–18.
Carr, L. J., Dunsiger, S. I., and Marcus, B. H. (2010). Walk score™ as a global estimate of neighborhood walkability. American journal of preventive medicine, 39(5), 460–463.
Christiansen, L. B., Toftager, M., Schipperijn, J., Ersbøll, A. K., Giles-Corti, B., and Troelsen, J. (2014). School site walkability and active school transport–association, mediation and moderation. Journal of Transport Geography, 34, 7–15.
D’Alessandro, D., Appolloni, L., and Capasso, L. (2016). How walkable is the city? Application of the Walking Suitability Index of the Territory (T-WSI) to the city of Rieti (Lazio Region, Central Italy). Epidemiol Prev, 40(3-4), 237–242.
Dong, X., Du, X., Li, K., Zeng, S., and Bledsoe, B. P. (2018). Benchmarking sustainability of urban water infrastructure systems in China. Journal of Cleaner Production, 170, 330–338.
Ewing, R., and Cervero, R. (2010). Travel and the built environment: A meta-analysis. Journal of the American planning association, 76(3), 265–294.
Fenner, A. E., Kibert, C. J., Li, J., Razkenari, M. A., Hakim, H., Lu, X., Kouhirostami, M., and Sam, M. (2020). Embodied, operation, and commuting emissions: A case study comparing the carbon hotspots of an educational building. Journal of Cleaner Production, 268, 122081.
Frank, L. D., Sallis, J. F., Saelens, B. E., Leary, L., Cain, K., Conway, T. L., and Hess, P. M. (2010). The development of a walkability index: application to the Neighborhood Quality of Life Study. British journal of sports medicine, 44(13), 924–933.
Galanis, A., and Eliou, N. (2011). Evaluation of the pedestrian infrastructure using walkability indicators. WSEAS Transactions on Environment and Development, 7(12), 385–394.
Jacobs, J. ( 1961 ). Jane jacobs. The Death and Life of Great American Cities.
Kapousouz, E., Seyrfar, A., Derrible, S., and Ataei, H. (2021). A clustering analysis of energy and water consumption in US states from 1985 to 2015. In Data science applied to sustainability analysis (pp. 81–108): Elsevier.
Kelly, C. E., Tight, M. R., Hodgson, F., and Page, M. (2011). A comparison of three methods for assessing the walkability of the pedestrian environment. Journal of Transport Geography, 19(6), 1500–1508.
Lewis, S. L., and Adhikari, K. (2017). Walkable neighborhood systems. Growth and Change, 48(4), 500–511.
Lo, R. H. (2009). Walkability: what is it? Journal of Urbanism, 2(2), 145–166.
Mahdavi-Amiri, N., and Sadaghiani, F. S. (2017). Strictly feasible solutions and strict complementarity in multiple objective linear optimization. 4OR, 15(3), 303–326.
Mahdavi-Amiri, N., and Salehi Sadaghiani, F. (2020). A superlinearly convergent nonmonotone quasi-Newton method for unconstrained multiobjective optimization. Optimization Methods and Software, 35(6), 1223–1247.
Manaugh, K., and El-Geneidy, A. (2011). Validating walkability indices: How do different households respond to the walkability of their neighborhood? Transportation research part D: transport and environment, 16(4), 309–315.
Mohammadi, A., Kermanshah, M., and Moeinaddini, A. ( 2021 ). Investigation of safety attitude on passenger vehicle type choice: An integrated choice and latent variable (ICLV) approach. IATSS Research.
Mohammadi, A., and Poorzahedy, H. (2018). An Electromagnetism-like Algorithm to Solve Three-dimensional Highway Alignment Problem. Scientia Iranica, 25(6), 2997–3020.
Papa, E., and Bertolini, L. (2015). Accessibility and transit-oriented development in European metropolitan areas. Journal of Transport Geography, 47, 70–83.
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., and Vanderplas, J. (2011). Scikit-learn: Machine learning in Python. the Journal of machine Learning research, 12, 2825–2830.
Peiravian, F., Derrible, S., and Ijaz, F. (2014). Development and application of the Pedestrian Environment Index (PEI). Journal of Transport Geography, 39, 73–84.
Rafiemanzelat, R., Emadi, M. I., and Kamali, A. J. (2017). City sustainability: the influence of walkability on built environments. Transportation research procedia, 24, 97–104.
Ruiz-Padillo, A., Pasqual, F. M., Uriarte, A. M. L., and Cybis, H. B. B. (2018). Application of multi-criteria decision analysis methods for assessing walkability: A case study in Porto Alegre, Brazil. Transportation research part D: transport and environment, 63, 855–871.
Sadeghi, B., Sodagari, M., Nematollahi, H., and Alikhani, H. (2021). FMEA and AHP Methods in Managing Environmental Risks in Landfills: A Case Study of Kahrizak, Iran. Environmental Energy and Economic Research, 5(2), 1–15.
Saelens, B. E., and Handy, S. L. (2008). Built environment correlates of walking: a review. Medicine and science in sports and exercise, 40(7 Suppl), S550.
Schlossberg, M., and Brown, N. (2004). Comparing transit-oriented development sites by walkability indicators. Transportation research record, 1887(1), 34–42.
Sehatzadeh, B., Noland, R. B., and Weiner, M. D. (2011). Walking frequency, cars, dogs, and the built environment. Transportation Research Part A: Policy and Practice, 45(8), 741–754.
Seyrfar, A., Ataei, H., and Derrible, S. ( 2020 ). A Review of Building Energy Benchmarking Policies Across the US Cities. Energy Proceedings, 8.
Seyrfar, A., Ataei, H., Movahedi, A., and Derrible, S. ( 2021 ). Data-Driven Approach for Evaluating the Energy Efficiency in Multifamily Residential Buildings. Practice Periodical on Structural Design and Construction, 26 ( 2 ), 04020074.
Seyrfar, A., Osman, I., Yarveicy, V., Akbuga, M., and Reddy, K. R. (2021). Life Cycle Sustainability Assessment of Flexible Pavement Designs: A Case Study of Illinois Interstate Highway. Retrieved from.
Seyrfar, A., Zandiatashbar, A., and Canepa, A. ( 2021 ). Evaluating Transportation Equity: Focusing on Transit Deserts and Transit-Dependent Population. Paper presented at the International Conference on Transportation and Development.
Shumi, S., Zuidgeest, M., Martinez, J., Efroymson, D., and van Maarseveen, M. (2015). Understanding the relationship between walkability and quality-of-life of women garment workers in Dhaka, Bangladesh. Applied research in quality of life, 10(2), 263–287.
Soleimani, H., and Poorzahedy, H. (2021). Multi-agent programming to enhance resiliency of earthquake-prone old metropolitan areas by transit-oriented development under public-private partnership. European journal of transport and infrastructure research, 21(1), 19–52.
Su, S., Pi, J., Xie, H., Cai, Z., and Weng, M. (2017). Community deprivation, walkability, and public health: Highlighting the social inequalities in land use planning for health promotion. Land Use Policy, 67, 315–326.
Van Cauwenberg, J., Van Holle, V., De Bourdeaudhuij, I., Van Dyck, D., and Deforche, B. (2016). Neighborhood walkability and health outcomes among older adults: The mediating role of physical activity. Health & place, 37, 16–25.
Wey, W.-M., and Huang, J.-Y. (2018). Urban sustainable transportation planning strategies for livable City’s quality of life. Habitat International, 82, 9–27.
Wheeler, S. ( 2013 ). Planning for sustainability: creating livable, equitable and ecological communities : Routledge.
Zou, B., Choobchian, P., and Rozenberg, J. (2021). Cyber resilience of autonomous mobility systems: cyber-attacks and resilience-enhancing strategies. Journal of Transportation Security. doi:https://doi.org/10.1007/s12198-021-00230-w.

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Leveraging Sustainable Infrastructure for Resilient Communities
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Published online: Jan 20, 2022

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Ali Mohammadi [email protected]
1Institute for Transportation Studies and Research, Dept. of Civil Engineering, Sharif Univ. of Technology, Tehran, Iran. Email: [email protected]
Pooria Choobchian [email protected]
2Dept. of Civil and Materials Engineering, Univ. of Illinois at Chicago, Chicago, IL. Email: [email protected]

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