Factors Affecting Traffic Accidents Density on Selected Multilane Rural Highways

Amjad H. Al-Bayati, Ahmad S. Shakoree, Zahraa A. Ramadan

Abstract


Estimations of average crash density as a function of traffic elements and characteristics can be used for making good decisions relating to planning, designing, operating, and maintaining roadway networks. This study describes the relationships between total, collision, turnover, and runover accident densities with factors such as hourly traffic flow and average spot speed on multilane rural highways in Iraq. The study is based on data collected from two sources: police stations and traffic surveys. Three highways are selected in Wassit governorate as a case study to cover the studied locations of the accidents. Three highways are selected in Wassit governorate as a case study to cover the studied locations of the accidents. The selection includes Kut–Suwera, Kut–ShekhSaad, and Kut–Hay multilane divided highways located in the south of Iraq. The preliminary presentation of the studied highways was performed using Geographic Information System (GIS) software. Data collection was done to obtain crash numbers and types over five years with their locations, hourly traffic flow, and average spot speed and define roadway segments lengths of crash locations. The cumulative speed distribution curves introduce that the spot speed spectrum for each highway's whole traffic extends over a relatively wide range, indicating a maximum speed of 180 kph and a minimum speed of 30 kph. Multiple linear regression analysis is applied to the data using SPSS software to attain the relationships between the dependent variables and the independent variables to identify elements strongly correlated with crash densities. Four regression models are developed which verify good and strong statistical relationships between crash densities with the studied factors. The results show that traffic volume and driving speed have a significant impact on the crash densities. It means that there is a positive correlation between the single factors and crash occurrence. The higher volumes and the faster the driving speed, the more likely it is to crash. As the hourly traffic flow of automobile grows, the need for safe traffic facilities also extended.

 

Doi: 10.28991/cej-2021-03091719

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Keywords


Traffic Safety; Accidents Density; Hourly Traffic Flow; Average Spot Speed; Multiple Linear Regression; GIS; Iraq.

References


Central Statistical Organization (C.S.O), "Statistics Roads Traffic Crashes in Iraq in 2018", Available online: http://cosit.gov.iq/en/ (accessed on May 2021).

Rural and Urban Crashes: A Comparative Analysis. U.S. Department of Transportation Technical Report. DOTHS808450. (August 1996). Available online: https://crashstats.nhtsa.dot.gov/Api/Public/Publication/96847 (accessed on March 2021).

Lassarre, S. “The Introduction of the Variables ‘traffic Volume,’ ‘speed’ and ‘belt-Wearing’ into a Predictive Model of the Severity of Accidents.” Accident Analysis & Prevention 18, no. 2 (April 1986): 129–134. doi:10.1016/0001-4575(86)90057-6.

Lord, Dominique, Abdelaziz Manar, and Anna Vizioli. “Modeling Crash-Flow-Density and Crash-Flow-V/C Ratio Relationships for Rural and Urban Freeway Segments.” Accident Analysis & Prevention 37, no. 1 (January 2005): 185–199. doi:10.1016/j.aap.2004.07.003.

Harwood, D. W. Relationships between Operational and Safety Considerations in Geometric Design Improvements. In Transportation Research Record 1512, TRB, National Research Council, Washington, D.C., (1995). Available online: https://onlinepubs.trb.org/Onlinepubs/trr/1995/1512/1512-001.pdf (accessed on May 2021).

Ghorbanzadeh, Mojgan. "A Study on the Quality of Campus Landscape on Students' Attendance at the University Campus." Civil Engineering Journal 5, no. 4 (2019): 950-962.

Letirand, Frédéric, and Patricia Delhomme. “Speed Behaviour as a Choice between Observing and Exceeding the Speed Limit.” Transportation Research Part F: Traffic Psychology and Behaviour 8, no. 6 (November 2005): 481–492. doi:10.1016/j.trf.2005.06.002.

Bagheri Khalili, Fatemeh, Abdolreza Sheikholeslami, and Abbas Mahmoudabadi. “Variable Efficiency Appraisal in Freeway Accidents Using Artificial Neural Networks—Case Study.” CICTP 2012 (July 23, 2012). doi:10.1061/9780784412442.269.

Roque, Carlos, and Mohammad Jalayer. “Improving Roadside Design Policies for Safety Enhancement Using Hazard-Based Duration Modeling.” Accident Analysis & Prevention 120 (November 2018): 165–173. doi:10.1016/j.aap.2018.08.008.

Xie, Yuanchang, Kaiguang Zhao, and Nathan Huynh. “Analysis of Driver Injury Severity in Rural Single-Vehicle Crashes.” Accident Analysis & Prevention 47 (July 2012): 36–44. doi:10.1016/j.aap.2011.12.012.

Aarts, Letty, and Ingrid van Schagen. “Driving Speed and the Risk of Road Crashes: A Review.” Accident Analysis & Prevention 38, no. 2 (March 2006): 215–224. doi:10.1016/j.aap.2005.07.004.

WHO, World Health Organization, "Speed and Road Crashes". PAHO/NMH/18-007, Pan American Health Organization, 2018. Available online: https://www.paho.org/sites/default/files/2018-SpeedRoadCrashes_ENGLISH_FINAL.pdf (accessed on March 2021).

Wang, Chao, Mohammed Quddus, and Stephen Ison. “A Spatio-Temporal Analysis of the Impact of Congestion on Traffic Safety on Major Roads in the UK.” Transportmetrica A: Transport Science 9, no. 2 (February 2013): 124–148. doi:10.1080/18128602.2010.538871.

Retallack, Angus Eugene, and Bertram Ostendorf. “Current Understanding of the Effects of Congestion on Traffic Accidents.” International Journal of Environmental Research and Public Health 16, no. 18 (September 13, 2019): 3400. doi:10.3390/ijerph16183400.

Duivenvoorden, Kirsten. "The relationship between traffic volume and road safety on the secondary road network." SWOV Institute for Road Safety and Research (2010). Available online: https://tarjomefa.com/wp-content/uploads/2017/08/7590-English-TarjomeFa.pdf (accessed on March 2021).

Cadar, Rodica Dorina, Melania Rozalia Boitor, and Mara Dumitrescu. “Investigating the Role of Traffic Volumes on the Occurrence of the Accidents on the National Roads: a Case Study in Romania.” Geographia Technica 12, no. 2 (October 27, 2017): 20–29. doi:10.21163/gt_2017.122.03.

Vey, Arnold H. “Improvements to Reduce Traffic Accidents.” Transactions of the American Society of Civil Engineers 104, no. 1 (January 1939): 474–484. doi:10.1061/taceat.0005186.

Raff, Morton S. "Interstate highway-accident study." Highway research board bulletin 74 (1953): 18-45.

PIARC, Road Accident Investigation Guidelines for Road Engineers, World Road Association PIARC Technical Committee, (August, 2007). Available online: https://www.who.int/roadsafety/news/piarc_manual.pdf (accessed on March 2021).

Wang, Chao, Mohammed Quddus, and Stephen Ison. “A Spatio-Temporal Analysis of the Impact of Congestion on Traffic Safety on Major Roads in the UK.” Transportmetrica A: Transport Science 9, no. 2 (February 2013): 124–148. doi:10.1080/18128602.2010.538871.


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DOI: 10.28991/cej-2021-03091719

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