Analysing bike crash reasons and predicting occurrence in Izmir city: insights from a logit regression model

Authors

DOI:

https://doi.org/10.55329/gxzw7901

Keywords:

bike crash, cyclist safety, logistic regression, vulnerable road users (VRU), Western Asia, low- and middle-income countries (LMICs)

Abstract

This study aims to analyse the occurrence and causes of bicycle crashes in Izmir, Turkey, with a focus on socio-demographic factors, cycling behaviours, and urban infrastructure. It seeks to identify key determinants of crash probability and reasons using regression models. Data were collected via face-to-face surveys from 1,796 cyclists across Izmir. 25% of surveyed cyclists reported having experienced a bicycle crash. Two statistical models were applied: a binary logistic regression to predict the probability of crash occurrence and a multinomial logit model to determine crash causes. Spatial data were also analysed to identify high-risk urban areas using GIS tools. The binary logistic model showed that higher age, education, income, and use of safety equipment reduced the likelihood of a crash. The multinomial logit model revealed that cyclist distraction, poor road infrastructure, and the sudden appearance of vehicles and pedestrians were the main crash causes. Younger cyclists were more vulnerable to sudden appearances. Spatial analysis identified Konak as the highest risk area, with Bornova and Karsiyaka also showing significant crash densities. Findings highlight the critical role of dedicated cycling infrastructure, especially in urban centres with mixed traffic. Policymakers should prioritize expanding bike lanes, improve road conditions, and promote cyclist education, particularly among youth and low-income populations.

Downloads

Download data is not yet available.

Author Biographies

Elia Odabaşı, Ege University, Türkiye

Elia Odabaşı graduated from the Department of City and Regional Planning at Dokuz Eylül University in 2013. Following her bachelor's degree, she lived in the United Kingdom for professional and academic development. She then completed her master's degree in transportation planning at Ege University in 2018, focusing her research on public transport accessibility. She received her Ph.D. in transportation planning from Ege University in 2024. During her doctoral studies, she spent seven months as a visiting researcher at Uppsala University in Sweden. Her research interests focus on sustainable transportation systems, with a particular expertise in bike-sharing systems.

CRediT contribution: Conceptualization, Data curation, Methodology, Writing – original draft.

Mohammed Hajouj, Hasselt University, Belgium

Mohammed Hajouj is a PhD candidate at the Transportation Research Institute (IMOB), Hasselt University, Belgium. His research interests include activity-based travel demand modelling, multimodal transportation systems, and travel behaviour analysis. His current research focuses on integrating multimodal transport networks into activity-based models.

CRediT contribution: Conceptualization, Formal analysis, Methodology, Writing – original draft.

Yalçın Alver, Ege University, Türkiye

Yalçın Alver is currently a Professor in the Department of Civil Engineering at the Faculty of Engineering, Ege University, where he has served as a faculty member since 2009. He holds a master’s degree in Construction Management from Ege University and a Ph.D. in Transportation Engineering from Kumamoto University, Japan. He has undertaken research as a visiting scholar at both Kumamoto University and Berlin Technical University, Germany. Between 2019 and 2021, he held the position of Visiting Professor at the University of Central Florida, USA. Prof. Dr. Alver's research interests encompass transportation planning and traffic engineering, with a recent emphasis on public transportation planning and traffic safety. He has successfully completed four projects funded by TÜBİTAK (The Scientific and Technological Research Council of Turkey) and nine additional nationally-funded research initiatives. His ongoing research focuses on traffic safety and transportation planning, and his findings have been published in prestigious journals, including Accident Analysis & Prevention and Transportation Research Part F: Traffic Psychology and Behaviour. Additionally, he serves as a consultant to various government agencies and private sector companies.

CRediT contribution: Conceptualization, Methodology, Supervision, Writing – review & editing.

References

Ashok, J., Suganthi, V., & Vijayalakshmi, I. (2016). Comparison of brake reaction time in younger and older drivers. International Journal of Research in Medical Sciences, 4(2), 649-652. DOI: https://doi.org/10.18203/2320-6012.ijrms20160332

Behnood, A., & Mannering, F. (2017). Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances. Analytical Methods in Accident Research, 16, 35-47. DOI: https://doi.org/10.1016/j.amar.2017.08.001

Billot-Grasset, A., Amoros, E., & Hours, M. (2016). How cyclist behavior affects bicycle accident configurations?. Transportation Research Part F: Traffic Psychology and Behaviour, 41 261-276. DOI: https://doi.org/10.1016/j.trf.2015.10.007

Bjornskau, T., Storesund Hesjevoll, I., Ingebrigtsen, R., Karlsen, K., Pokorny, P., Sundfør, H. B., Weyde, K. V., & Mjåland, O. (2025). What characterizes bicycle and e-scooter accidents not included in official accident statistics? Lessons learned from the ReCyCLIST Project in Agder, Norway. Traffic Safety Research, 9. DOI: https://doi.org/10.55329/prfq7240

Bogusiak, K., Pyfel, M., Puch, A., Kopertowska, M., Werfel, D., & Neskoromna-Jedrzejczak, A. (2018). Characteristics and risk factor of bike-related accident: Preliminary analysis. Advances in Clinical and Experimental Medicine, 27(10), 1403-1409. DOI: https://doi.org/10.17219/acem/70695

Buckley, L., Chapman, R. L., & Sheehan, M. (2014). Young driver distraction: State of the evidence and directions for behavior change programs. Journal of Adolescent Health, 54(5 SUPPL.), S16-S21. DOI: https://doi.org/10.1016/j.jadohealth.2013.12.021

Buehler, R., & Dill, J. (2016). Bikeway networks: A review of effects on cycling. Transport Reviews, 36(1), 1-19. DOI: https://doi.org/10.1080/01441647.2015.1069908

Buhler, T., Comby, E., Vaudor, L., & von Pape, T. (2021). Beyond ‘good’ and ‘bad’ cyclists. On compensation effects among risk-taking, safety equipment, and secondary tasks. Journal of Transport & Health, 22, 101131. DOI: https://doi.org/10.1016/j.jth.2021.101131

Damsere-Derry, J., & Bawa, S. (2018). Bicyclists’ accident pattern in Northern Ghana. IATSS Research, 42(3), 138-142. DOI: https://doi.org/10.1016/j.iatssr.2017.10.002

Feenstra, H., Ruiter, R. A. C., Schepers, J., Peters, G. J., & Kok, G. (2011). Measuring risky adolescent cycling behaviour. International Journal of Injury Control and Safety Promotion, 18(3), 181-187. DOI: https://doi.org/10.1080/17457300.2010.540334

Hensher, D. A., Rose, J. M., & Greene, W. H. (2005). Applied Choice Analysis, Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511610356

Hu, F., Lv, D., Zhu, J., & Fang, J. (2014). Related risk factors for injury severity of e-bike and bicycle crashes in Hefei. Traffic Injury Prevention, 15(3), 319-323. DOI: https://doi.org/10.1080/15389588.2013.817669

International Transport Forum (2016). Zero road deaths and serious injuries: Leading a paradigm shift to a safe system. Paris: International Transport Forum. DOI: https://doi.org/10.1787/9789282108055-en

Izmir Metropolitan Municipality (2023). Izmir Metropolitan Municipality. Accessed Sep 24, 2023

Izmir UPI (2017). Izmir Ulaşım Ana Planı (UPİ) sonuç özet raporu [Izmir Transportation Master Plan final summary report]. Izmir, Turkey: Izmir Metropolitan Municipality, Department of Transport.

Jaber, A., Juhász, J., & Csonka, B. (2021). An analysis of factors affecting the severity of cycling crashes using binary regression model. Sustainability, 13(12), 6945. DOI: https://doi.org/10.3390/su13126945

Johansson, R. (2009). Vision Zero—implementing a policy for traffic safety. Safety Science, 47, 826-831. DOI: https://doi.org/10.1016/j.ssci.2008.10.023

Kim, J. K., Kim, S., Ulfarsson, G. F., & Porrello, L. A. (2007). Bicyclist injury severities in bicycle-motor vehicle accidents. Accident Analysis & Prevention, 39(2), 238-251. DOI: https://doi.org/10.1016/j.aap.2006.07.002

Kwan, I., & Mapstone, J. (2002). Interventions for increasing pedestrian and cyclist visibility for the prevention of death and injuries (Review). London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.1002/14651858.CD003438

Liu, J., Khattak, A. J., Li, X., Nie, Q., & Ling, Z. (2020). Bicyclist injury severity in traffic crashes: A spatial approach for geo-referenced crash data to uncover non-stationary correlates. Journal of Safety Research, 73, 25-35. DOI: https://doi.org/10.1016/j.jsr.2020.02.006

Louviere, J. J., Hensher, D. A., Swait, J. D., & Adamowicz, W. (2000). Stated Choice Methods, Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511753831

Ma, J., Ren, G., Wang, S., Yu, J., & Wang, L. (2022). Characterizing the effects of contributing factors on crash severity involving e-bicycles: A study based on police-reported data. International Journal of Injury Control and Safety Promotion, 29(4), 463-474. DOI: https://doi.org/10.1080/17457300.2022.2081982

Mesimäki, J., & Luoma, J. (2021). Near accidents and collisions between pedestrians and cyclists. European Transport Research Review, 13(1), 58. DOI: https://doi.org/10.1186/s12544-021-00497-z

Montoro, L., Useche, S. A., Alonso, F., & Esteban, C. (2018). Distraction of cyclists: How does it influence their risky behaviors and traffic crashes?. PeerJ, 6, e5616. DOI: https://doi.org/10.7717/peerj.5616

Olivier, J., Walter, R., & Grzebieta, R. (2013). Investigating bicycle crashes in Australia using medical and police injury data. Accident Analysis & Prevention, 50, 1118-1128. DOI: https://doi.org/10.1016/j.aap.2012.09.003

Pucher, J., & Buehler, R. (2008). Cycling for everyone: Lessons from Europe. Transportation Research Record: Journal of the Transportation Research Board, 2074, 58-65. DOI: https://doi.org/10.3141/2074-08

Pucher, J., & Buehler, R. (2016). Increasing the use of bicycles in urban transportation and reducing bicycle accident. Journal of Safety Research, 56, 133-141.

Pucher, J., & Buehler, R. (2008). Making cycling irresistible: Lessons from The Netherlands, Denmark and Germany. Transport Reviews, 28, 495-528. DOI: https://doi.org/10.1080/01441640701806612

Rash-ha Wahi, R., Haworth, N., Debnath, A. K., & King, M. (2018). Influence of type of traffic control on injury severity in bicycle–motor vehicle crashes at intersections. Transport Research Record, 2672(38), 199-209. DOI: https://doi.org/10.1177/0361198118773576

Rella Riccardi, M., Mauriello, F., Scarano, A., & Montella, A. (2023). Analysis of contributory factors of fatal pedestrian crashes by mixed logit model and association rules. International Journal of Injury Control and Safety Promotion, 30(2), 195-209. DOI: https://doi.org/10.1080/17457300.2022.2116647

Reynolds, C. C. O., Harris, M. A., Teschke, K., Cripton, P. A., & Winters, M. (2009). The impact of transportation infrastructure on bicycling injuries and crashes: A review of the literature. Environmental Health, 8(1). DOI: https://doi.org/10.1186/1476-069X-8-47

Roshanfekr, P., Khodaie-Ardakani, M. R., Sajjadi, H., & Malek Afzali Ardakani, H. (2020). Income-related inequality in traffic accident health outcomes (injury, disability and mortality): Evidence from the nationwide survey in Iran. Iranian Journal of Public Health, 49(4), 718-726. DOI: https://doi.org/10.18502/ijph.v49i4.3179

Royal, S., Kendrick, D., & Coleman, T. (2007). Promoting bicycle helmet wearing by children using nonlegislative interventions: Systematic review and meta-analysis. Injury Prevention, 162-167. DOI: https://doi.org/10.1136/ip.2006.013441

Sabbaghian, M. H., Llopis-Castelló, D., & García, A. (2024). Assessing micromobility safety on horizontal curves of bike lanes: A video motion analysis methodology. Traffic Safety Research, 7. DOI: https://doi.org/10.55329/mmvw5208

Seva, R., Flores, G. M. T., Gotohio, M. P. T., & Paras, N. G. C. (2013). Logit model of motorcycle accidents in the Philippines considering personal and environmental factors. International Journal for Traffic and Transport Engineering, 3(2), 173-184. DOI: https://doi.org/10.7708/ijtte.2013.3(2).06

Scholes, S., Wardlaw, M., Anciaes, P., Heydecker, B., & Mindell, J. S. (2018). Fatality rates associated with driving and cycling for all road users in Great Britain 2005–2013. Journal of Transport & Health, 8, 321-333. DOI: https://doi.org/10.1016/j.jth.2017.11.143

Schleinitz, K., & Petzoldt, T. (2023). Development of German pedelec (and bicycle) crashes between 2013 and 2021. Journal of Safety Research, 87, 187-201. DOI: https://doi.org/10.1016/j.jsr.2023.09.016

Sener, I. N., Lee, K., Hudson, J. G., Martin, M., & Dai, B. (2021). The challenge of safe and active transportation: Macrolevel examination of pedestrian and bicycle crashes in the Austin District. Journal of Transportation Safety & Security, 13(5), 525-551. DOI: https://doi.org/10.1080/19439962.2019.1645778

Simsek, U., & Demircan, T. (2025). Retrospective study to compare injury patterns and associations in 170 patients following electric scooter and bicycle accidents in Turkey. Medical Science Monitor, 31, e947155. DOI: https://doi.org/10.12659/MSM.947155

SUMP (2022). EU support to Izmir Sustainable Urban Mobility Plan (SUMP Izmir): Baseline mobility assessment and strategic framework. Izmir, Turkey: Izmir Metropolitan Municipality, Department of Transport.

Svetina, M. (2016). The reaction times of drivers aged 20 to 80 during a divided attention driving. Traffic Injury Prevention, 17(8), 810-814. DOI: https://doi.org/10.1080/15389588.2016.1157590

Teschke, K., Harris, M. A., Reynolds, C. C. O., Winters, M., Babul, S., Chipman, M., Cusimano, M. D., Brubacher, J. R., Hunte, G., Friedman, S. M., Monro, M., Shen, H., Vernich, L., & Cripton, P. A. (2012). Route infrastructure and the risk of injuries to bicyclists: A case-crossover study. American Journal of Public Health, 102(12), 2336-2343. DOI: https://doi.org/10.2105/AJPH.2012.300762

Thompson, D. C., Rivara, F. P., & Thompson, R. S. (1996). Effectiveness of bicycle safety helmets in preventing head injuries: A case-control study. JAMA, 276(24), 1968-1973. DOI: https://doi.org/10.1001/jama.1996.03540240046029

Turkish Statistical Institute (TUIK) (2022).

Turkish Statistical Institute (TUIK) (2024).

Vilaça, M., Macedo, E., Tafidis, P., & Coelho, M. C. (2019). Multinomial logistic regression for prediction of vulnerable road users risk injuries based on spatial and temporal assessment. International Journal of Injury Control and Safety Promotion, 26(4), 379-390. DOI: https://doi.org/10.1080/17457300.2019.1645185

Wang, Z., Neitzel, R. L., Zheng, W., Wang, D., Xue, X., & Jiang, G. (2021). Road safety situation of electric bike riders: A cross-sectional study in courier and take-out food delivery population. Traffic Injury Prevention, 22(7), 564-569. DOI: https://doi.org/10.1080/15389588.2021.1895129

Wang, C., Shao, Y., Ye, F., & Zhu, T. (2024). Injury severity analysis of e-bike riders in China based on the in-vehicle recording video crash data: A random parameter ordered logit model. International Journal of Injury Control and Safety Promotion, 568-578. DOI: https://doi.org/10.1080/17457300.2024.2385102

Winters, M., Brauer, M., Setton, E. M., & Teschke, K. (2010). Built environment influences on healthy transportation choices: bicycling versus driving. Journal of Urban Health, 87(6), 969-993. DOI: https://doi.org/10.1007/s11524-010-9509-6

World Health Organization (2018). Global status report on road safety 2018. World Health Organization. Accessed Jun 7, 2023.

Zhou, J., Chen, F., Khattak, A., & Dong, S. (2024). Interpretable ensemble-imbalance learning strategy on dealing with imbalanced vehicle-bicycle crash data: A case study of Ningbo, China. International Journal of Crashworthiness, 29(5), 884-897. DOI: https://doi.org/10.1080/13588265.2024.2316924

Published

2026-07-31

How to Cite

Odabasi, E., Hajouj, M., & Alver, Y. (2026). Analysing bike crash reasons and predicting occurrence in Izmir city: insights from a logit regression model. Traffic Safety Research, 10, e000146. https://doi.org/10.55329/gxzw7901

Issue

Section

Research article