Data Linkage for Traffic Safety in Jefferson County, Kentucky
Publication: International Conference on Transportation and Development 2021
ABSTRACT
Transportation agencies seek efficient methods to figure out how to reduce the severity of crashes and prioritize safety improvement investments. Police-reported crash data are the main source of information for transportation engineers to systematically address safety. However, other additional data sets exist that can help explain factors associated with variance in crash outcomes. In this research, crash data collected by Kentucky State Police are linked to associated emergency medical services runs. First, time and location were used to link the data set as the initial assessment. Furthermore, other related fields, such as crash type and the number of injuries, were utilized to investigate the matches that were not unique. Later, the practical implications of using the linked data set are addresses.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Amorim, M., Ferreira, S., and Couto, A. (2014). “Linking police and hospital road accident records: how consistent can it be?” Transportation Research Record, 2432(1), 10-16.
Ariannezhad, A., Karimpour, A., and Wu, Y. J. (2020). Incorporating mode choices into safety analysis at the macroscopic level. Journal of transportation engineering, Part A: Systems, 146(4), 04020022.
Arvin, R., Kamrani, M., and Khattak, A. J. (2019). “How instantaneous driving behavior contributes to crashes at intersections: extracting useful information from connected vehicle message data.” Accident Analysis & Prevention, 127, 118-133.
Boufous, S., Finch, C., Hayen, A., and Williamson, A. (2008). Data linkage of hospital and police crash datasets in NSW. NSW Injury Risk Management Research Centre.
Brubacher, J. R., Chan, H., and Erdelyi, S. (2019). “Injury severity in police collision reports correlates poorly with requirement for hospital admission.” Journal of Transport & Health, 14, 100606.
Burch, C., Cook, L., and Dischinger, P. (2014). “A comparison of KABCO and AIS injury severity metrics using CODES linked data.” Traffic injury prevention, 15(6), 627-630.
Farmer, C. M. (2003). Reliability of police-reported information for determining crash and injury severity.
Ferreira, S., Falcão, L., Couto, A., and Amorim, M. (2015). “The quality of the injury severity classification by the police: An important step for a reliable assessment.” Safety science, 79, 88-93.
Hosseinzadeh, A., Karimpour, A., Kluger, R., and Orthober, R. (2020). “A Framework to Link Crashes to Emergency Medical Service Runs and Trauma Admissions: for Improved Highway Safety Monitoring and Crash Outcome Assessment.” Transportation Research Board 99th Annual Meeting Transportation Research Board.
Hosseinzadeh, A., and Kluger, R. (2021) “Do EMS times associate with injury severity?” Accident Analysis & Prevention. In press.
Hosseinzadeh, A., Moeinaddini, A., and Ghasemzadeh, A. (2021) “Investigating Factors Affecting Severity of Large Truck-involved Crashes: Comparison of the SVM and Random Parameter Logit Model” Jorunal of Safety Research. In press.
Khoda Bakhshi, A., and Ahmed, M. M. (2020). “Utilizing Black-Box Visualization Tools to Interpret Non-Parametric Real-Time Risk Assessment Models.” Transportmetrica A: Transport Science, 1-49.
Bakhshi, A. K., and Ahmed, M. M. (2021). “Practical advantage of crossed random intercepts under Bayesian hierarchical modeling to tackle unobserved heterogeneity in clustering critical versus non-critical crashes.” Accident Analysis & Prevention, 149, 105855.
McDonald, G., Davie, G., and Langley, J. (2009). “Validity of police-reported information on injury severity for those hospitalized from motor vehicle traffic crashes.” Traffic injury prevention, 10(2), 184-190.
McGlincy, M. H. “A Bayesian record linkage methodology for multiple imputation of missing links.” Proc., ASA Proceedings of the Joint Statistical Meetings, Citeseer, 4001-4008.
National Highway Traffic Safety Administration. (2015). “Traffic safety facts. ” Washington, DC: National Highway Traffic Safety Administration.
National Highway Traffic Safety Administration. (2017). “MMUCC Guideline: Model Minimum Uniform Crash Criteria Fifth Edition. ” Washington, DC: National Highway Traffic Safety Administration.
Short, J., and Caulfield, B. (2016). “Record linkage for road traffic injuries in Ireland using police hospital and injury claims data.” Journal of safety research, 58, 1-14.
Tainter, F., Fitzpatrick, C., Gazillo, J., Riessman, R., and Knodler, M., Jr. (2020). “Using a novel data linkage approach to investigate potential reductions in motor vehicle crash severity–An evaluation of strategic highway safety plan emphasis areas.” Journal of Safety Research.
Watson, A., Watson, B., and Vallmuur, K. (2015). “Estimating under-reporting of road crash injuries to police using multiple linked data collections.” Accident Analysis & Prevention, 83, 18-25.
Information & Authors
Information
Published In
Copyright
© 2021 American Society of Civil Engineers.
History
Published online: Jun 4, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.