Geographical analysis

Department of Geography & GIS

Article

Geographical analysis

Year: 2026, Volume: 15, Issue: 1, Pages: 1-11

Original Article

Spatio-Temporal Analysis of Road Accident Patterns in Karnataka: Causes, Risk Dimensions, and Policy Implications

Received Date:08 March 2026, Accepted Date:07 May 2026

Abstract

This study presents a comprehensive macro-level epidemiological and spatial-temporal analysis of road traffic accidents in Karnataka for the calendar year 2023, contextualized within a five-year longitudinal framework (2019–2023) to evaluate regional traffic safety dynamics. Drawing on empirical data from the official registries of the Karnataka State Police and the State Crime Records Bureau (SCRB), the research evaluates a dataset of 43,440 discrete vehicular crashes, representing an acute 9.25% year-over-year escalation in traffic incidents that culminated in 12,321 fatalities and 52,547 non-fatal injuries. By stratifying these incidents across roadway classifications, vehicular typologies, kinematic collision mechanics, victim demographics, and behavioral infractions, the analysis reveals a concerning post-pandemic resurgence in crash metrics. The findings indicate that National and State Highways exhibit disproportionately high fatality rates relative to their linear mileage, with Vulnerable Road Users (VRUs)—predominantly motorized two-wheeler operators and pedestrians within the active 18–35 age cohort—bearing the primary mortality burden. Furthermore, the data isolates speeding, non-compliance with passive safety systems (helmets and seatbelts), and hazardous overtaking as the primary proximal drivers of fatal outcomes, exacerbated by distinct temporal high-frequency crash vectors linked to peak transit hours. Ultimately, this widening divergence between expanding road infrastructure and regional safety enforcement metrics underscores the critical need for a pivot toward predictive, evidence-based interventions. To mitigate this systemic public health crisis, the study concludes with targeted policy frameworks, advocating for automated speed-enforcement corridors, stricter legislative mandates for protective gear, geometric remediation of infrastructure blackspots, and optimized trauma-care distribution along high-speed corridors.

Keywords: Road accidents, Karnataka, Traffic fatalities, Over-speeding, Two-wheelers, Road safety policy, SCRB

References

1. Hammoudi A, Karani G, Littlewood JR. Road Traffic Accidents Among Drivers in Abu Dhabi, United Arab Emirates. Journal of Traffic and Logistics Engineering. 2014; 2 (1). Available from: https://doi.org/10.12720/jtle.2.1.7-12

2. Hussain T, Shu LY, Sosorburam T, Adji AS, Khan AH, Farooq A. Road Traffic Accidents; An Observational and Analytical Study Exploring the Hidden Truths in Pakistan and South East-Asian Countries. Healthline. 2011; 2 (1). Available from: https://www.healthlinejournal.org/index_pdf/33.pdf

3. Shruthi P, Venkatesh VT, Viswakanth B, Ramesh C, Sujatha PL, Dominic IR. Analysis of Fatal Road Traffic Accidents in a Metropolitan City of South India. Journal of Indian Academy of Forensic Medicine. 2013; 35 (4). Available from: https://doi.org/10.1177/0971097320130406

4. Abojaradeh M. Development of Traffic Accident Prediction Models to Improve Traffic Safety and to Reduce Traffic Accident Severity and Rate in Jordan. IISTE, Journal of Biology, Agriculture and Healthcare. 2015; 5 (2). Available from: https://www.iiste.org/Journals/index.php/JBAH/article/view/19533

5. Vyas PR, Honnappanavar ML, Balakrishna HB. (2014). Identification of Black Spots for Safe Commuting Using Weighted Severity Index and GIS. 3rd World Conference on Applied Sciences, Engineering & Technology.

6. Sorate RR, Kulkarni RP, Bobade SU, Patil MS, Talathi AM, Sayyad IY, Apte SV. Identification of Accident Black Spots on National Highway 4 (New Katraj Tunnel to Chandani Chowk). IOSR Journal of Mechanical and Civil Engineering. 2015; 12 (3). Available from: https://doi.org/10.6084/M9.FIGSHARE.1415742.V1

7. Subbareddy M, Prasad KSB. Identification and Improvement of Accidents black Spots for Mixed Traffic Streets in Developed Cities-A Case Study. International Journal of Engineering Research. 2015; 4 (10). Available from: https://doi.org/10.17950/ijer/v4s10/1003

8. Bobade SU, Patil JP, Sorate RR. Black Spot Analysis on National Highway - 4. International Journal of Engineering Research and. 2016; V5 (03). Available from: https://doi.org/10.17577/ijertv5is030842

9. Gupta R, Singh M. Accident Black-Spot Validation Using GIS. 15th Esri India User Conference. 2014; Available from: https://www.researchgate.net/publication/313858691_Accident_Black-Spot_Validation_using_GIS

10. Jayan DK, Ganeshkumar B. (2010). Identification of Accident Hot Spots: A GIS-Based Implementation for Kannur District, Kerala. International Journal of Geomatics and Geosciences, 1.

11. Saleh S. Geographical Information System (GIS)-Based Analysis of Road Traffic Accident Blackspots in Federal Capital Territory (F.C.T). Journal of Traffic and Logistics Engineering. 2014; 2 (2). Available from: https://doi.org/10.12720/jtle.2.2.108-112

12. Zhao J, Deng W. Traffic Accidents on Expressways: New Threat to China. Traffic Injury Prevention. 2012; 13 (3). Available from: https://doi.org/10.1080/15389588.2011.645959

13. Atubi AO. Road Traffic Accidents in Warri and Environs: A Ten-Year Survey. AFRREV IJAH. 2012; 1 (2). Available from: https://scispace.com/pdf/road-traffic-accidents-in-warri-and-environs-a-ten-year-57ysa6lsk2.pdf

14. Zhou J, Zhao X, Jiang Z, Zhu S, Zhaou J. Investigation on Road Traffic Safety of the Mountain Areas in Southwest China Based on Wulong County, Chongqing Municipality. Traffic Injury Prevention. 2005; 6 (2). Available from: https://doi.org/10.1080/15389580590931707

15. Rahman HA, Zulkifli NAM, Subramaniam K, Hua LT. Car Occupants Accidents and Injuries among Adolescents in Malaysia. Proceedings of the Eastern Asia Society for Transportation Studies. 2005; 5 Available from: https://easts.info/on-line/proceedings_05/1867.pdf

16. Lalitha K, Ruther GK. (2014). Road Traffic Accident Awareness among College Students in Guntur, Andhra Pradesh. IMPACT: International Journal of Research in Humanities, Arts and Literature, 2(3). 83-86

17. Chinnaswamy GK, Chirwa EC, Nammi S, Nowpada S, Chen T, Mao N. Benchmarking and accident characteristics of flat-fronted commercial vehicles with respect to pedestrian safety. International Journal of Crashworthiness. 2007; 12 (3). Available from: https://doi.org/10.1080/13588260701441365

18. Pandi DG, et al. (2016). Road Maintenance and Nighttime Accident Prevention in Tamil Nadu. IJARIIE, 2.

19. Islam MB, Kanitpong K. ). Identification of Factors in Road Accidents Through In-Depth Accident Analysis. IATSS Research. 2008; 32 (2). Available from: https://doi.org/10.1016/s0386-1112(14)60209-0

20. Apparao G, Mallikarjunareddy P, Raju SVG. (2013). Identification of Accident Black Spots for National Highway Using GIS. International International Journal of Scientific and Technology Research, 2(2).

21. Oulha R, Boumediene A, Amara K, Benyoucef S, Hamadouche MA, Brahimi K. Using Qualitative Study and GIS to Explore Road Accident Black Areas in Algeria. Periodica Polytechnica Transportation Engineering. 2016; 44 (4). Available from: https://doi.org/10.3311/pptr.8446

22. Molla MM, Stone ML, Lee E. Geostatistical Approach to Detect Traffic Accident Hot Spots and Clusters in North Dakota. UGPTI Department Publication. 2014; Available from: https://www.ugpti.org/resources/reports/downloads/dp-276.pdf

23. Kundakci E. (2014). Identification of Urban Traffic Accident Hot Spots and Their Characteristics by Using GIS. Master's Thesis, Middle East Technical University, Ankara.

24. Svetlana M. Temporal Analysis of the Traffic Accidents Occurrence in Province of Vojvodina. Transport Problems. 2013; 8 (1). Available from: https://www.researchgate.net/publication/289164458_Temporal_analysis_of_the_traffic_accidents_occurrence_in_province_of_Vojvodina

25. Ivan K, Haidu L. (2012). The Spatio-Temporal Distribution of Road Accidents in Cluj-Napoca. Geographia Technica.

26. Soltani A, Askari S. Analysis of Intra-Urban Traffic Accidents Using Spatiotemporal Visualization Techniques. Transport and Telecommunication Journal. 2014; 15 (3). Available from: https://doi.org/10.2478/ttj-2014-0020

27. Jain A, Menezes RG, Kanchan T, Gagan S, Jain R. Two wheeler accidents on Indian roads – a study from Mangalore, India. Journal of Forensic and Legal Medicine. 2009; 16 (3). Available from: https://doi.org/10.1016/j.jflm.2008.08.019

28. Rodriguez JM, Penaloz RE, Montoya JM. Road Traffic Injury Trends in the City of Valledupar, Colombia. A Time Series Study from 2008 to 2012. PLOS ONE. 2015; 10 (12). Available from: https://doi.org/10.1371/journal.pone.0144002

29. Amarasingha N. Characteristics of Three-Wheeler Crashes. International Research Symposium on Engineering Advancements, SAITM. 2015; Available from: https://www.researchgate.net/publication/286473386_Characteristics_of_Three-Wheeler_Crashes

30. Misra A, Singh SK. Road Accident Analysis: A Case Study of Patna City. Urban Transport Journal. 2004; 2 (2). Available from: https://ssrn.com/abstract=570441

31. Yang BM, Kim J. Road traffic accidents and policy interventions in Korea. Injury Control and Safety Promotion. 2003; 10 (1-2). Available from: https://doi.org/10.1076/icsp.10.1.89.14120

32. Ndung'u CW, Bonface RM, Mwai LK. Analysis of Causes and Response Strategies of Road Traffic Accidents in Kenya. IOSR Journal of Business and Management. 2015; 17 (4). Available from: https://doi.org/10.9790/487X-17435877

33. Kharola PS, Tiwari G, Mohan D. Traffic Safety and City Public Transport System: Case Study of Bengaluru, India. Journal of Public Transportation. 2010; 13 (4). Available from: https://doi.org/10.5038/2375-0901.13.4.4

34. Government of Karnataka, Police Department. (2024). Road Accidents in Karnataka – 2023. State Crime Records Bureau (SCRB) & Police Computer Wing, Bengaluru.

35. Ministry of Road Transport and Highways (MoRTH), Government of India. (2023). Road Accidents in India – 2022. Transport Research Wing, New Delhi.

36. World Health Organization. (2023). Global Status Report on Road Safety 2023. WHO, Geneva.

Copyright

© 2026 Kumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Bangalore University, Bengaluru, Karnataka

DON'T MISS OUT!

Subscribe now for latest articles and news.