Investigating factors influencing pedestrian injury severity at intersections

References

• Abdel-Aty M, Chen CL, Schott JR. An assessment of the effect of driver age on traffic accident involvement using log-linear models. Accid Anal Prev. 1998;30:851–861.
   PubMed Web of Science ®Google Scholar
• Amarasingha N, Dissanayake S. Gender difference of young drivers on injury severity outcome of highway crashes. J Safety Res. 2014;49:113–120.
   PubMed Web of Science ®Google Scholar
• Ben-Akiva M, Lerman S. Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, MA: The MIT Press; 1985.
   Google Scholar
• Chen IG, Durbin DR, Ellio MR, Senserrick T, Winston FK. Child passenger injury risk in motor vehicle crashes: a comparison of nighttime and daytime driving by teenage and adult drivers. J Safety Res. 2006;37:299–306.
   PubMed Web of Science ®Google Scholar
• Dissanayake S, Lu JJ. Factors influential in making an injury severity difference to older drivers involved in fixed object–passenger car crashes. Accid Anal Prev. 2001;34:609–618.
   Web of Science ®Google Scholar
• Donmez B, Liu ZS. Association of distraction involvement and age with driver injury severities. J Safety Res. 2015;52:23–28.
   PubMed Web of Science ®Google Scholar
• Duncan C, Khattak A, Council F. Applying the ordered probit model to injury severity in truck–passenger car rear-end collisions. Transp Res Rec. 1998;1635:63–71.
   Google Scholar
• Eluru N, Bhat CR, Hensher DA. A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. Accid Anal Prev. 2008;40:1033–1054.
   PubMed Web of Science ®Google Scholar
• Garrido R, Bastos A, Almeida A, Elvas JP. Prediction of road accident severity using the ordered probit model. Paper presented at: 17th Meeting of the EURO Working Group on Transportation; 2014; Sevilla, Spain.
   Google Scholar
• Greene WH. Econometric Analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall; 2002.
   Google Scholar
• Hao W, Kamga C, Daniel J. The effect of age and gender on motor vehicle driver injury severity at highway–rail grade crossings in the United States. J Safety Res. 2015;55:105–113.
   PubMed Web of Science ®Google Scholar
• Islam S, Mannering F. Driver aging and its effect on male and female single-vehicle accident injuries: some additional evidence. J Safety Res. 2006;37:267–276.
   PubMed Web of Science ®Google Scholar
• Jang K, Park SH, Kang S, Song KH, Kang S, Chung S. Evaluation of pedestrian safety: pedestrian crash hot spots and risk factors for injury severity. Transp Res Rec. 2013;2393:104–116.
   Web of Science ®Google Scholar
• Kweon YJ, Kockelman KM. Overall injury risk to different drivers: combining exposure, frequency, and severity models. Accid Anal Prev. 2003;35:441–450.
   PubMed Web of Science ®Google Scholar
• Lam LT. Distractions and the risk of car crash injury: the effect of drivers' age. J Safety Res. 2002;33:411–419.
   PubMed Web of Science ®Google Scholar
• Lee C, Abdel-Aty M. Comprehensive analysis of vehicle–pedestrian crashes at intersections in Florida. Accid Anal Prev. 2005;37:775–786.
   PubMed Web of Science ®Google Scholar
• Liu C, Utter D, Chen CL. Characteristics of Crash Injuries among Young, Middle-Aged, and Older Drivers. Washington, DC: NHTSA; 2007. DOT HS 810857. Available at: http://www-nrd.nhtsa.dot.gov/Pubs/810857.pdf.
   Google Scholar
• National Safety Council. Manual on Classification of Motor Vehicle Traffic Accidents. 5th ed. ANSI D-16.1-1989, National Safety Council: Itasca, IL: 1989.
   Google Scholar
• Neyens DM, Boyle LN. The influence of driver distraction on the severity of injuries sustained by teenage drivers and their passengers. Accid Anal Prev. 2008;40:254–259.
   PubMed Web of Science ®Google Scholar
• NHTSA. 2015 Motor Vehicle Crashes: Overview. Washington, DC: NHTSA; 2015. Available at: https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812318.pdf.
   Google Scholar
• Obeng K, Rokonuzzaman M. Pedestrian injury severity in automobile crashes. J Safety Sci Technol. 2013;3:9–17.
   Google Scholar
• Oh C, Kang Y, Kim B, Kim W. Analysis of pedestrian–vehicle crashes in Korea: focused on developing probabilistic pedestrian fatality model. Paper presented at: International Technical Conference on the Enhanced Safety of Vehicles; 2005.
   Google Scholar
• Pei Y, Fu C. Investigating crash injury severity at unsignalized intersections in Heilongjiang Province, China. J Traffic Transp Eng (Engl Ed). 2014;1(4):272–279.
   Google Scholar
• Pour-Rouholamin M, Zhou H. Investigating the risk factors associated with pedestrian injury severity in Illinois. J Safety Res. 2016;57:9–17.
   PubMed Web of Science ®Google Scholar
• Sarkar S, Richard T, Hunt J. Logistic regression model of risk of fatality in vehicle–pedestrian crashes on national highways in Bangladesh. Transp Res Rec. 2011;2264:128–137.
   Web of Science ®Google Scholar
• Savolainen P, Mannering F, Lord D, Quddus M. The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. Accid Anal Prev. 2011;43:1666–1676.
   PubMed Web of Science ®Google Scholar
• Schneider R, Diogenes M, Arnold L, Attaset V, Griswold J, Ragland D. Association between roadway intersection characteristics and pedestrian crash risk in Alameda County, California. Transp Res Rec. 2010;2198:41–51.
   Web of Science ®Google Scholar
• Shankar V, Mannering F. An explanatory multinomial logit analysis of single-vehicle motorcycle accident severity. Accid Anal Prev. 1996;27(3):183–194.
   Google Scholar
• Sze NN, Wong SC. Diagnostic analysis of the logistics model for pedestrian injury severity in traffic crashes. Accid Anal Prev. 2007;39:1267–1278.
   PubMed Web of Science ®Google Scholar
• Thompson JP, Baldock MRJ, Mathias JL, Wundersitz LN. An examination of the environmental, driver and vehicle factors associated with the serious and fatal crashes of older rural drivers. Accid Anal Prev. 2013;50:768–775.
   PubMed Web of Science ®Google Scholar
• Ulfarsson GF, Mannering FL. Differences in male and female injury severities in sport-utility vehicle, minivan and passenger car accidents. Accid Anal Prev. 2004;36(2):135–147.
   PubMed Web of Science ®Google Scholar
• Wu Q, Zhang GH, Ci YS, Wu LN, Tarefder RA, Alcantara AD. Exploratory multinomial logit model-based driver injury severity analyses for teenager and adult drivers in intersection-related crashes. Traffic Inj Prev. 2016;17:413–422.
   PubMed Web of Science ®Google Scholar
• Zajac SS, Ivan JN. Factors influencing injury severity of motor vehicle–crossing pedestrian crashes in rural Connecticut. Accid Anal Prev. 2003;35:369–379.
   PubMed Web of Science ®Google Scholar