Page 119 - tmp_Neat
P. 119
Warsh, J., Rothman, L., Slater, M., Steverango, C. & Howard, A., 2009. Are school zones
effective? An examination of motor vehicle versus child pedestrian crashes near
schools, Injury Prevention, 15(4), 226-9.
Washington, S. P., M. G. Karlaftis and F. Mannering., 2010. Statistical and econometric
methods for transportation data analysis. Second Edition, CRC Press, Boca Raton,
Florida.
Weng, J. & Meng, Q., 2014. Rear end crash potential estimation in the work zone merging
areas. Journal of Advanced Transportation, 48(3): 238-249.
World Health Organization (WHO), 2009. Global status report on road safety: time for
action, World Health Organization, Geneva, Switzerland.
World Health Organization (WHO), 2013. Global status report on road safety 2013:
supporting a decade of action, World Health Organization, Geneva, Switzerland.
Winston, C., Maheshri, V. and Mannering, F., 2006. An exploration of the offset hypothesis
using disaggregate data: The case of airbags and antilock brakes. Journal of Risk and
Uncertainty, 32 (2), 83-99.
Wu Q, Zhang G, Ci Y, Wu L, Tarefder RA, Alcántara AD., 2016. Exploratory multinomial
logit model–based driver injury severity analyses for teenage and adult drivers in
intersection-related crashes. Traffic Injury Prevention, 17(4), 413-22.
Xie, Y, Zhang, Y & Liang, F., 2009. Crash injury severity analysis using Bayesian ordered
probit models, Journal of Transportation Engineering, 35 (1), 18-25.
Yamamoto, T, Hashiji, J & Shankar, V., 2008. Underreporting in traffic accident data, bias in
parameters and the structure of injury severity models. Accident Analysis &
Prevention, 40 (4), 1320-9.
Yanko, M.R. and Spalek, T.M., 2013. Route familiarity breeds inattention: A driving
simulator study. Accident Analysis & Prevention, 57, 80-86.
99