Effects of the built environment on automobile-involved pedestrian crash frequency and risk

Journal of Transport and Health

Volumn 3, Issue 4, 2016, Pages 448-456

  Chen, Peng ^a   Zhou, Jiangping ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Built environment; Land use; Pedestrian crash frequency; Pedestrian crash risk; Road network; Spatial autocorrelation

Indexed keywords

EID: 85002843354     PISSN: 22141405     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jth.2016.06.008     Document Type: Article

References (32)

1. Aguero-Valverde, J., Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: Comparing the precision of crash frequency estimates. Accident Analysis & Prevention 50 (2013), 289–297.
2. American Association of State Highway and Transportation Officials and US Department of Transportation, 2013. Commuting in America 2013: The National Report on Commuting Patterns and Trends. 7-8.
3. Bergman, A., Gray, B., Moffat, J.M., Simpson, E.S., Rivara, F.P., Mobilizing for pedestrian safety: an experiment in community action. Injury Prevention 8 (2002), 264–267.
4. Cervero, R., Kockelman, K., Travel demand and the 3Ds: density, diversity, and design. Transportation Research Part D: Transport and Environment 2 (1997), 199–219.
5. de Geus, B., Vandenbulcke, G., Int Panis, L., Thomas, I., Degraeuwe, B., Cumps, E., Aertsens, J., Torfs, R., Meeusen, R., A prospective cohort study on minor accidents involving commuter cyclists in Belgium. Accident Analysis & Prevention 45 (2012), 683–693.
6. Ding, C., Ma, X., Wang, Y., Wang, Y., Exploring the influential factors in incident clearance time: Disentangling causation from self-selection bias. Accident Analysis & Prevention 85 (2015), 58–65.
7. Ellis, C., The new urbanism: Critiques and rebuttals. Journal of Urban Design 7 (2002), 261–291.
8. Frank, L.D., Engelke, P.O., The Built Environment and Human Activity Patterns: Exploring the Impacts of Urban Form on Public Health. Journal of Planning Literature 16 (2001), 202–218.
9. Geyer, J., Raford, N., Pham, T., Ragland, D., Safety in numbers: Data from oakland, california. Transportation Research Record: Journal of the Transportation Research Board, (1982), 2006, 150–154.
10. Jacob, A. Greet Streets. Boston, MA: MIT Press, 1993.
11. Lee, C., Moudon, A.V., The 3Ds+R: Quantifying land use and urban form correlates of walking. Transportation Research Part D: Transport and Environment 11 (2006), 204–215.
12. Lund, H., Testing the claims of new urbanism: Local access, pedestrian travel, and neighboring behaviors. Journal of the American Planning Association 69 (2003), 414–429.
13. Ma, J., Kockelman, K.M., Damien, P., A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods. Accident Analysis & Prevention 40:3 (2008), 964–975.
14. Miranda-Moreno, L.F., Morency, P., El-Geneidy, A.M., The link between built environment, pedestrian activity and pedestrian–vehicle collision occurrence at signalized intersections. Accident Analysis & Prevention 43 (2011), 1624–1634.
15. Morrison, D.S., Petticrew, M., Thomson, H., What are the most effective ways of improving population health through transport interventions? Evidence from systematic reviews. Journal of epidemiology and community health 57 (2003), 327–333.
16. Moudon, A.V., Lin, L., Hurvitz, P., Reeves, P., Risk of pedestrian collision occurrence: case control study of collision locations on state routes in King County and Seattle, Washington. Transportation Research Record: Journal of the Transportation Research Board 2073 (2008), 25–38.
17. Moudon, A.V., Lin, L., Jiao, J., Hurvitz, P., Reeves, P., The risk of pedestrian injury and fatality in collisions with motor vehicles, a social ecological study of state routes and city streets in King County, Washington. Accident Analysis & Prevention 43 (2011), 11–24.
18. Mustafa, Z., PE;Birdsall, M., The Great Streets Movement. ITE Journal, Institute of Transportation Engineers, 84, 2014, 3.
19. Narayanamoorthy, S., Paleti, R., Bhat, C.R., On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level. Transportation Research Part B: Methodological 55 (2013), 245–264.
20. Newman, P., Kenworthy, J., Urban design to reduce automobile dependence. Opolis, 2006, 2.
21. Pucher, J., Buehler, R., Walking and cycling for healthy cities. Built Environment 36 (2010), 391–414.
22. Puget Sound Regional Council, 2014. Activity-Based Travel Model: SoundCast. 〈 http://www.psrc.org/data/models/abmodel/〉.
23. Pulugurtha, S.S., Sambhara, V.R., Pedestrian crash estimation models for signalized intersections. Accident Analysis & Prevention 43 (2011), 439–446.
24. Runyan, C.W., Using the Haddon matrix: introducing the third dimension. Injury prevention 21 (2015), 126–130.
25. Saelens, B., Sallis, J., Frank, L., Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures. Annals of Behavioral Medicine 25 (2003), 80–91.
26. Seattle Department of Transportation, 2009. Seattle Pedestrian Master Plan. 〈 http://www.seattle.gov/transportation/pedestrian_masterplan/docs/PMP%20Summary_Low%20Res.pdf〉.
27. Siddiqui, C., Abdel-Aty, M., Choi, K., Macroscopic spatial analysis of pedestrian and bicycle crashes. Accident Analysis & Prevention 45 (2012), 382–391.
28. The National Highway Traffic Safety Administration, 2012. Traffic safety facts: Pedestrians. 〈 http://www-nrd.nhtsa.dot.gov/Pubs/811888.pdf〉.
29. Ukkusuri, S., Hasan, S., Aziz, H.M.A., Random parameter model used to explain effects of built-environment characteristics on pedestrian crash frequency. Transportation Research Record: Journal of the Transportation Research Board 2237 (2011), 98–106.
30. Ukkusuri, S., Miranda-Moreno, L.F., Ramadurai, G., Isa-Tavarez, J., The role of built environment on pedestrian crash frequency. Safety Science 50 (2012), 1141–1151.
31. Wang, Y., Kockelman, K.M., A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods. Accident Analysis & Prevention 60 (2013), 71–84.
32. Wier, M., Weintraub, J., Humphreys, E.H., Seto, E., Bhatia, R., An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning. Accident Analysis & Prevention 41 (2009), 137–145.