Effects of Urban Sprawl and Vehicle Miles Traveled on Traffic Fatalities

Traffic Injury Prevention

Volumn 16, Issue 4, 2015, Pages 397-403

  Yeo, Jiho ^a   Park, Sungjin ^b   Jang, Kitae ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Hong Ik University   (South Korea)

Author keywords

built environment; path analysis; traffic fatality; urban sprawl; VMT

Indexed keywords

CAR DRIVING; EPIDEMIOLOGY; HUMAN; MORTALITY; RISK ASSESSMENT; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; UNITED STATES; URBANIZATION;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; HUMANS; RISK ASSESSMENT; UNITED STATES; URBANIZATION;

EID: 84921381089     PISSN: 15389588     EISSN: 1538957X     Source Type: Journal    
DOI: 10.1080/15389588.2014.948616     Document Type: Article

References (29)

1. Asher HB. Causal Modeling. Beverly Hills, CA: Sage Publications; 1983.
2. Bento AM, Cropper ML, Mobarak AM, Vinha K. The effects of urban spatial structure on travel demand in the United States. Rev Econ Stat. 2005;87:466–478.
3. Bureau of Economic Analysis. GDP & Personal Income. Washington, DC: US Department of Commerce; 2013. Available at:http://www.bea.gov/iTable/iTable.cfm?reqid=70&step=1&isuri=1&acrdn=5#reqid=70&step=1&isuri=1. Accessed December 1, 2013.
4. Dargay JM. The effect of income on car ownership: evidence of asymmetry. Transp Res Part A Policy Pract. 2001;35:807–821.
5. Dumbaugh E, Rae R. Safe urban form: revisiting the relationship between community design and traffic safety. J Am Plann Assoc. 2009;75:309–329.
6. Ernst M, McCann B. Mean Streets 2002. Washington, DC: Surface Transportation Policy Project;2002.
7. Ewing R, Cervero R. Travel and the built environment. J Am Plann Assoc. 2010;76:265–294.
8. Ewing R, Dumbaugh E. The built environment and traffic safety—a review of empirical evidence. J Plan Lit. 2009;23:347–367.
9. Ewing R, Meakins G, Hamidi S. Measuring Urban Sprawl and Validating Sprawl Measures—Draft. Bethesda, Maryland: the National Cancer Institute, National Institutes of Health, New York: the Ford Foundation, and Washington, DC: Smart Growth America: 2010. Available at http://gis.cancer.gov/tools/urban-sprawl/. Accessed December 1, 2013.
10. Ewing R, Schieber RA, Zegeer CV. Urban sprawl as a risk factor in motor vehicle occupant and pedestrian fatalities. Am J Public Health. 2003;93:1541–1545.
11. Ewing RH, Pendall R, Chen DD, America SG. Measuring Sprawl and Its Impact. Washington, DC: Smart Growth America; 2002.
12. Farmer CM, Retting RA, Lund AK. Changes in motor vehicle occupant fatalities after repeal of the national maximum speed limit. Accid Anal Prev. 1999;31:537–543.
13. Federal Highway Administration. Office of Highway Policy Information. Available at: http://www.fhwa.dot.gov/policyinformation/index.cfm.
14. Frank L, Bradley M, Kavage S, Chapman J, Lawton TK. Urban form, travel time, and cost relationships with tour complexity and mode choice. Transportation. 2008;35:37–54.
15. Gattis J, Watts A. Urban street speed related to width and functional class. J Transp Eng. 1999;125(3):193–200.
16. Jang K, Kang S, Seo J, Chan C-Y. Cross-section designs for the safety performance of buffer-separated high-occupancy vehicle lanes. J Transp Eng. 2012;139:247–254.
17. Jang K, Park SH, Chung S, Song KH. Influential factors on level of injury in pedestrian crashes: applications of ordered probit model with robust standard errors. Transportation Research Board 89th Annual Meeting. No. 10-2817. 2010.
18. Ladron de Guevara F, Washington SP, Oh J. Forecasting crashes at the planning level: simultaneous negative binomial crash model applied in Tucson, Arizona. Transp Res Rec. 2004;1897:191–199.
19. Lambert TE, Meyer PB. Ex-urban sprawl as a factor in traffic fatalities and EMS response times in the southeastern United States. J Econ Issues. 2006;40:941–953.
20. Lambert TE, Meyer PB. Practitioner's corner: new and fringe residential development and emergency medical services response times in the United States. State & Local Government Review. 2008;40:115–124.
21. Lovegrove GR, Sayed T. Macro-level collision prediction models for evaluating neighbourhood traffic safety. Can J Civ Eng. 2006;33:609–621.
22. Lucy WH. Mortality risk associated with leaving home: recognizing the relevance of the built environment. Am J Public Health. 2003;93:1564–1569.
23. Murphy SL, Xu JQ, Kochanek KD. Deaths Final data for 2010. National Vital Statistics Reports. Hyattsville, MD: National Center for Health Statistics. 2013;61(4).
24. NHTSA. Traffic Safety Facts 2011: A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System. Washington, DC: US Department of Transportation, National Center for Statistics and Analysis; 2013:20509.
25. NHTSA. Fatality Analysis Reporting System (FARS). Washington, DC: US Department of Transportation. Available at: http://ftp.nhtsa.dot.gov/FARS. Accessed December 1, 2013.
26. Noland RB, Oh L. The effect of infrastructure and demographic change on traffic-related fatalities and crashes: a case study of Illinois county-level data. Accid Anal Prev. 2004;36:525–532.
27. Rosén E, Sander U. Pedestrian fatality risk as a function of car impact speed. Accid Anal Prev. 2009;41:536–542.
28. Trowbridge MJ, Gurka MJ, O’Connor RE. Urban sprawl and delayed ambulance arrival in the US. Am J Prev Med. 2009;37:428–432.
29. The U.S. Energy Information Administration. Gasoline Prices by Formulation, Grade, Sales Type. Washington, DC: US Department of Energy; 2013. Available at: http://www.eia.gov/tools/faqs/faq.cfm?id=26&t=10. Accessed December 1, 2013.