- Sarkar S, Maiti J. Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis. Safety Science. 2020; 131:104900.
- Zou X, Vu HL. Mapping the knowledge domain of road safety studies: A scientometric analysis. Accident Analysis & Prevention. 2019; 132:105243.
- van Eck, N. J., & Waltman, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010; 84: 523–538.
- Aria, M., and Cuccurullo, C. bibliometrix: AnR-tool for comprehensive science mapping analysis, Journal of Informetrics. 2017; 11(4): 959-975.
- Perianes-Rodriguez, A., Waltman, L., & Van Eck, N.J. (2016). Constructing bibliometric networks: A comparison between full and fractional counting. Journal of Informetrics, 10(4), 1178–1195.
- Van Eck, N.J., & Waltman, L. (2011). Text mining and visualization using VOSviewer. ISSI Newsletter, 7(3), 50–54.
- Van Eck, N.J., Waltman, L., Dekker, R., & Van den Berg, J. (2010). A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology, 61(12), 2405–2416.
- Waltman, L., Van Eck, N.J., & Noyons, E.C.M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635.
- Merigó JM, Miranda J, Modak NM, Boustras G, de la Sotta C. Forty years of Safety Science: A bibliometric overview. Safety Science. 2019; 115:66–88.
- Renski, H., Khattak, A., & Council, F. (1998). Impact of Speed Limit increases on Crash Injury Severity: Analysis of Single-Vehicle Crashes on North Carolina Interstate highways. Presented at the 78th Annual meeting of the Transportation Research Board, Washington, D.C.
- Kim, K., Li, L., Richardson, J., and Nitz, L. ~1998!. ‘‘Drivers at fault: influences of age, sex, and vehicle type.’’ J. Safety Res., 29~3! 171– 179.
- National Highway Traffic Safety Administration. (2016b). Fatality Analysis Reporting System [Data files]. Modified 09/12/2016. Accessed 09/14/2016. Available at ftp://ftp. nhtsa.dot.gov/FARS/. Washington, DC: National Highway Traffic Safety Administration.
- Triplett T, Santos R, Rosenbloom S. (2016). American driving survey: 2014-2015. Washington, DC: AAA Foundation for Traffic Safety.
- Garber, N. J., 2000, The Effect of Speed, Flow, and Geometric Characteristics on crash rates for different types of Virginia Highways Transportation Research Council, Charlottesville.
- Abdel-Aty, M. 2003, Analysis of Driver Injury Severity Levels at Multiple Locations Using Ordered Probit Models. Journal of Safety Research, Vol. 34, pp. 597-603.
- HURST P.M. Epidemiological aspects of alcohol in driver crashes and citations. J. Saf. Res. 5: 130-148, 1973.
- Aljanahi, A.A.M., Rhodes, A.H., Metcalfe, A.V., 1999. Speed, speed limits, and road traffic accidents under free flow conditions. Accident Analysis and Prevention 31 (2), 161–168.
- Li, L., Kim, K., 2000. Estimating driver crash risks based on the extended Bradley-Terry model: an induced exposure method. Journal of Royal Statistical Society A 163 (2), 227–240.
- Kim, K., Nitz, L., Richardson, J., Li, L., 1995. Personal and behavioral predictors of an automobile crash and injury severity. Accident Analysis and Prevention 27 (4), 469–481.
- American Automobile Association (AAA), 2009. Teen Crashes – Everyone is at Risk: People Fatally Injured in Motor Vehicle Crashes Involving 15- to 17-Year-olds.http://exchange.aaa.com/wp-content/uploads/2012/05/AAA-Teen-Crashes-Everyones-At-Risk.pdf.
- Kim, J.K., Ulf arsson, G.F., Kim, S., Shankar, V.N., 2013. Driver-injury severity in single-vehicle crashes in California: a mixed logit analysis of heterogeneity due to age and gender. Accident Analysis and Prevention 50, 1073–1081.
- Yu, H., Yuan, R., Li, Z., Zhang, G., & Ma, D. T. (2020). Identifying heterogeneous factors for driver injury severity variations in snow-related rural single-vehicle crashes. Accident Analysis & Prevention, 144, 105587.
- Das, Subasish & Datta, Songjukta & Al-Zubaidi, Hamsa & Obaid, Ihsan. (2021). Applying interpretable machine learning to classify tree and utility pole related crash injury types. IATSS Research. 45. 10.1016/j.iatssr.2021.01.001.
- Hamsa Zubaidi, Ihsan Obaid, Ali Alnedawi, Subasish Das, Md Mazharul Haque, Temporal instability assessment of injury severities of motor vehicle drivers at give-way controlled unsignalized intersections: A random parameters approach with heterogeneity in means and variances, Accident Analysis & Prevention, Volume 156, 2021, 106151,ISSN 0001-4575.
- Subasish Das, Lisa Minjares-Kyle, Lingtao Wu, Russell H. Henk , Understanding crash potential associated with teen driving: Survey analysis using multivariate graphical method ,Journal of Safety Research ,Volume 70,2019,Pages 213-222,ISSN 0022-4375.
- Ashifur Rahman, Md. Mahmud Hossain, Elisabeta Mitran, Xiaoduan Sun, Understanding the contributing factors to young driver crashes: A comparison of crash profiles of three age groups, Transportation Engineering ,Volume 5,2021,100076,ISSN 2666-691X.
- Redelmeier, Donald & Manzoor, Fizza. (2019). Life-threatening alcohol-related traffic crashes in adverse weather: A double-matched case-control analysis from Canada. BMJ Open. 9. e024415. 10.1136/bmjopen-2018-024415.
- Lin, HA., Chan, CW., Wiratama, B.S. et al. Evaluating the effect of drunk driving on fatal injuries among vulnerable road users in Taiwan: a population-based study. BMC Public Health 22, 2059 (2022).
- Charles Goldenbeld, Katrien Torfs, Willem Vlakveld, Sjoerd Houwing, Impaired driving due to alcohol or drugs: International differences and determinants based on E-Survey of Road Users' Attitudes first-wave results in 32 countries, IATSS Research, Volume 44, Issue 3,2020,Pages 188-196,ISSN 0386-1112.
- Fouda Mbarga, N., Abubakari, AR., Aminde, L.N. et al. Seatbelt use and risk of major injuries sustained by vehicle occupants during motor-vehicle crashes: a systematic review and meta-analysis of cohort studies. BMC Public Health 18, 1413 (2018).
- Nawaf Alnawmasi, Fred Mannering,A temporal assessment of distracted driving injury severities using alternate unobserved-heterogeneity modeling approaches,Analytic Methods in Accident Research,Volume 34,2022,100216,ISSN 2213-6657.
- Ihsan Obaid, Ali Alnedawi, Ghufraan Mohammed Aboud, Reuben Tamakloe, Hamsa Zuabidi, Subasish Das,Factors associated with driver injury severity of motor vehicle crashes on sealed and unsealed pavements: Random parameter model with heterogeneity in means and variances,International Journal of Transportation Science and Technology, 2022,ISSN 2046-0430,https://doi.org/10.1016/j.ijtst.2022.04.002.
- Zubaidi, H.A., Anderson, J.C., Hernandez, S., 2020. Understanding roundabout safety through the application of advanced econometric techniques. J. Transp. Sci. Technol. https://doi.org/10.1016/j.ijtst.2020.03.001.
- Subasish Das, Songjukta Datta, Hamsa Abbas Zubaidi, Ihsan Ali Obaid, Applying interpretable machine learning to classify tree and utility pole related crash injury types, IATSS Research,Volume 45, Issue 3,2021,Pages 310-316, ISSN 0386-1112,https://doi.org/10.1016/j.iatssr.2021.01.001.
|