[1] K. Abapur Sangerudi, Modeling the factors affecting the occurrence of accidents based on road inspection, Master’s degree in civil engineering, Arian Institute of Higher Education of Science and Technology, 2016.
[2] A. Ahmadi Fini and H. Taherpur, An appropriate organizational structure for incident command in the road transport network, Police Knowledge Res. 40 (2008), 161–180.
[3] S. Alavi and E. Esfandiari, Evaluating the performance of provinces in road transport safety, J. Traffic Manag. Stud. (2018), no. 54, 57–90.
[4] F. Bagheri Khalili and A.R. Sheikh Al-Eslami, An analysis on the studies conducted in the field of factors affecting the occurrence of accidents on the roads outside the city, Rahvar Promot. Sci. Quart. 8 (2011), no. 15, 93–116.
[5] N. Casado-Sanz, B. Guirao and M. Attard, Analysis of the risk factors affecting the severity of traffic accidents on Spanish crosstown roads: the driver’s perspective, Sustainability 12 (2020), no. 6, 2237.
[6] D. Doaguyan, G. Shiran, M. Amiri and S. Behzadbasirat, Comparison of the two-level pre-crisis management model with international models in the management of traffic crises, Rahvar Sci. Res. Quart. 6 (2017), no. 20.
[7] H. Duynhoven and A. King, Road safety education, Asional Road Safety Committee, 2012.
[8] L. Eboli, C. Forciniti and G. Mazzulla, Factors influencing accident severity: an analysis by road accident type, Transport. Res. Proc. 47 (2020), 449–456.
[9] A. Faghihi, G. Memarzadeh and H. Nazifkar, Iran’s road safety promotion model with emphasis on safety culture, Manag. Res. Iran 17 (2014), no. 4, 161–178.
[10] P. Fawcett, M.V. Flinders, C. Hay and M.Wood, Anti-politics, depoliticization, and governance, Oxford University Press, 2017.
[11] M. Gholami, M. Heydarzadeh and M. Saberizadeh, The vulnerability of road transport infrastructures in Iran and implementation solutions from the point of view of crisis management, Eighth Int. Conf. Comprehen. Crisis Manag., 2016.
[12] K. Goniewicz, M. Goniewicz, W. Pawlowski and P. Fiedor, Road accident rates: strategies and programmes for improving road traffic safety, Eur. J. Trauma Emerg. Surgery 42 (2016), no. 4, 433–438.
[13] C. Gutierrez-Osorio and C. Pedraza, Modern data sources and techniques for analysis and forecast of road accidents: a review, J. Traffic Transport. Engin. 7 (2020), no. 4, 432–446.
[14] M. Haddadi, H. Suri, M. Shakiba and E. Eyni, Global road safety status report (2015), Naja Road Research Center, Tehran, 2016.
[15] W. Haddon Jr, A logical framework for categorizing highway safety phenomena and activity, J. Trauma Acute Care Surgery 12 (1972), no. 3, 193–207.
[16] P. Kordrostami and P. Aminian, The effects of road safety equipment with longitudinal grooves in reducing accidents; case study: Eslam Abad-Goharbaran, Third Conf. Nat. Engin., Babol, 2017.
[17] S. Kumar and D. Toshniwal, Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC), J. Big Data 3 (2016), no. 1, 1–11.
[18] M. Mahpour and B. Safarzadeh, Prioritization of roads in Tehran province in crisis conditions using network strength index, Rahvar Promot. Sci. Quart. 3 (2014), no. 26, 11–29.
[19] I. Makarova, G. Yakupova, P. Buyvol, E.M. Mukhametdinov and A. Pashkevich, Association rules to identify factors affecting risk and severity of road accidents, VEHITS (2020), 614–621.
[20] V. Meyer Jr, M.P.E. Cunha, D.F. Mamedio and D.P. Nogueira, Crisis management in high-reliability organizations: lessons from Brazilian air disasters, Disaster Prevent. Manag.: Int. J. 30 (2020), no. 2, 209–224.
[21] M.N. Mousavi, A. Bagheri Kashkouli, M. Moghimi and J. Kiani, Solutions for organizing and reducing the vulnerability of vital arteries with a crisis management approach (case study: Yazd-Shiraz communication axis), Police Geog. Res. J. 6 (2017), no. 22, 29–62.
[22] M. Muehlebach and R. D’Andrea, Nonlinear analysis and control of a reaction-wheel-based 3-D inverted pendulum, IEEE Transact. Control Syst. Technol. 25 (2016), no. 1, 235–246.
[23] E.S. Park, P.J. Carlson and A. Pike, Safety effects of wet weather pavement markings, Accident Anal. Prevent. 133 (2019), 105271.
[24] M. Puryaari, R. Ahadi and A. Amarji, The role of intelligent systems in improving the performance of crisis management in road transport, Rahvar Promot. Sci. Quart. 2012 (2012), no. 20, 73–91.
[25] F. Rezaei and M. Keramat, What is crisis management and how is it implemented?, Crisis Emerg. Manag. Quart. 10 (2019), no. 35, 139–155.
[26] Road Administration and Road Transport Organization, Road transport statistical yearbook, Publication of Road Traffic and Transportation Organization, Tehran, 2007.
[27] S. Sabbar and S. Dalvand, Semiotic approach to globalization: living in a world of global things, Journal of Cyberspace Studies, 2 (2018), no. 1, 75–88.
[28] P.M. Salmon, G.J. Read, V. Beanland, J. Thompson, A.J. Filtness, A. Hulme, R. McClure and I. Johnston, Bad behaviour or societal failure? Perceptions of the factors contributing to drivers’ engagement in the fatal five driving behaviours, Appl. Ergon. 74 (2019), 162–171.
[29] M. Samadian and E. Jafari, Identifying and prioritizing the factors affecting road accidents, J. Police Geog. 2018 (2019), no. 27, 123–142.
[30] H. Shamanian, Analysis of the effect of speed control cameras on road safety and the prioritization of suburban equipment using the network analysis process method (ANP), Isfahan, Islamic Azad University, Najaf Abad Branch, 2016.
[31] Q. Shi and M. Abdel-Aty, Big data applications in real-time traffic operation and safety monitoring and improvement on urban expressways, Transport. Res. Part C: Emerg. Technol. 58 (2015), 380–394.
[32] J. Steenbruggen, P. Nijkamp, J.M. Smits and G. Mohabir, Traffic incident and disaster management in the Netherlands. Challenges and obstacles in information sharing, Netcom. Reseaux commun. Territ. 26 (2015), 169–200.
[33] M. Taslimi, Crisis field of priority in crisis management, Manag. Sci. Quart. 18 (2005), no. 2.
[34] Y. Vakilaroaya and S.M. Zargar, Determine and prioritize the factors affecting the occurrence of road accidents (Case study: roads of Semnan Province), J. GIS RS Appl. Plann. 9 (2019), no. 3, 58–76.
[35] G. Yakupova, P. Buyvol and V. Shepelev, Identification of factors affecting the road traffic injury rate, Transport. Res. Proc. 50 (2020), 735–742.
[36] H. Zoghi, M. Haj Ali, M. Dirin and K. Malekan, Evaluation of intelligent transportation systems and development in Iran, Ninth Conf. Transport. Traffic Engin., Tehran, 2009