Identification of hazardous road locations using ambulance data
DOI:
https://doi.org/10.55329/mmey4122Keywords:
ambulances, black spot, emergency medical services, hazardous road location, underreportingAbstract
Background: Police underreporting of traffic crashes is a substantial challenge in Denmark, as in many other countries. Alternative data sources are highly warranted for site-specific road traffic safety work. This study aimed to test the potential benefits and drawbacks of a merger of ambulance data, including crash coordinates, and hospital patient data.
Methods: We tested a definition of a traffic crash based on a merger of hospital patient data and ambulance data, including prehospital medical records information and ambulance coordinates in Aalborg Municipality in the North Denmark Region of Denmark from 2016 to 2019 and presented a method of identification of hazardous intersections, road sections and local traffic areas. We compared selected police data characteristics for the same area and period.
Results: Compared to police data in the same study period, we found 3.2 times as many unique crash sites through the use of combined hospital patient and ambulance data. We showed that as many as 47% of the crash sites found in the ambulance records were located outside the network of major roads, whereas 16% were located at intersections of major roads and 38% on sections of major roads. We found a certain imprecision in the identification of crash locations because some crash coordinates were physical addresses of buildings only close to the crash sites. Furthermore, we noted that the data privacy of patient data is an issue.
Conclusions: Ambulance data have clear-cut potential in site-specific road traffic safety work. However, data quality assurance is necessary prior to the application of the data for black spot identification. As such, more precise coordinates are needed, as well as further methodological development and an anonymisation procedure legally approved by the authorities to make data available for traffic safety work operations.
Downloads
References
Andersen, M. S., Johnsen, S. P., Sørensen, J. N., Jepsen, S. B., Hansen, J. B., & Christensen, E. F. (2013). Implementing a nationwide criteria-based emergency medical dispatch system: A register-based follow-up study. Scand. J. Trauma. Resusc. Emerg. Med., 21. DOI: https://doi.org/10.1186/1757-7241-21-S2-A31
Berg, S. T., & Augustsson, L. (2018). Kan ambulanceregistreringer anvendes i trafiksikkerhedsarbejdet? [Can ambulance data be used in the road traffic safety work?]. Proc. from Annu. Transp. Conf. Aalborg Univ.
Danielsson, F. B., Mikkelsen, S., & Lauritsen, J. (2016). Place of occurrence of traffic injury - can we combine pre- and hospital data to get location? Inj. Prev., 22, A191.3-A192. DOI: https://doi.org/10.1136/injuryprev-2016-042156.531
Danish Regions. (2022). Dansk Indeks for Akuthjælp [Danish Index for Emergency Care].
Kirkwood, B. R., & Sterne, J. A. C. (2003). Essential medical statistics. Blackwell Science Ltd.
Kjærgaard, K., & Lauritsen, J. (2024). Variation in traffic injury settings—same implication of hospital and police-based traffic injury data? J Transport and Health, 36, 101782. DOI: https://doi.org/10.1016/j.jth.2024.101782
Madsen, J. C. O. (2005). Skadesbaseret sortpletudpegning: Fra crash prevention til loss reduction i de danske vejbestyrelsers sortpletarbejde [Injury-based black spot identification: From crash prevention to loss reduction in the Danish road traffic safety work]. Aalborg Universitet.
Melchiorsen, E., Röck, N. D., & Lauritsen, J. (2024). Change in injury pattern with mandatory, referred access compared to open access in an emergency department. Dan. Med. J., 71. DOI: https://doi.org/10.61409/A10220636
Morency, P., & Cloutier, M. S. (2006). From targeted ‘black spots’ to area-wide pedestrian safety. Inj. Prev., 12, 360–364. DOI: https://doi.org/10.1136/ip.2006.013326
Morency, P., Voyer, C., Burrows, S., & Goudreau, S. (2012). Outdoor falls in an urban context: Winter weather impacts and geographical variations. Can. J. Public Health, 103, 218–222. DOI: https://doi.org/10.1007/BF03403816
Olesen, A. V., Madsen, T. K. O., Hels, T., Hosseinpour, M., & Lahrmann, H. S. (2021). Single-bicycle crashes: An in-depth analysis of self-reported crashes and estimation of attributable hospital cost. Accid. Anal. Prev., 161. DOI: https://doi.org/10.1016/j.aap.2021.106353
Olesen, A. V., Petersen, K. D., & Lahrmann, H. S. (2019). Fra skadestue til forebyggelse af trafikulykker [From emergency room to prevention of traffic crashes] (DCE Technical Reports No. 284). Aalborg University.
Olesen, A. V., Petersen, K. D., & Lahrmann, H. S. (2021). Attributable hospital costs, home care costs and risk of long-term sickness benefits following traffic injuries by road user type. J. Transp. Heal., 22, 101104. DOI: https://doi.org/10.1016/j.jth.2021.101104
Rahman, N. H., Rainis, R., Noor, S. H., & Mohamad, S. M. S. (2016). Geospatial and clinical analyses on pediatric related road traffic injury in Malaysia. World J. Emerg. Med., 7, 213. DOI: https://doi.org/10.5847/wjem.j.1920-8642.2016.03.009
Shabanikiya, H., Hashtarkhani, S., Bergquist, R., Bagheri, N., Vafaeinejad, R., Amiri-Gholanlou, M., Akbari, T., & Kiani, B. (2020). Multiple-scale spatial analysis of paediatric, pedestrian road traffic injuries in a major city in North-Eastern Iran 2015-2019. BMC Public Health, 20. DOI: https://doi.org/10.1186/s12889-020-08911-2
Vivento AS & Agenda Kaupang AS. (2015). Kartlegging og vurdering av stordata i offentlig sektor [Mapping and assessment of use of big data in the public sector]. Oslo.
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2025 Anne Vingaard Olesen, Tim Alex Lindskou, Rasmus Øhlenschlæger, Torben Anders Kløjgaard, Anders Brogaard Tallaksen, Jens Lauritsen, Erika Frischknecht Christensen, Harry Lahrmann

This work is licensed under a Creative Commons Attribution 4.0 International License.
Funding data
-
Danish Foundation TrygFonden
Grant numbers 115826