مروری بر مطالعات ایمنی تقاطعات با استفاده از روش علم‌سنجی

نوع مقاله : مقاله مروری

نویسندگان

1 عضو هیات علمی دانشکده عمران دانشگاه علم و صنعت ایران

2 دانشجوی کارشناسی ارشد، دانشکده عمران، دانشگاه علم‌وصنعت ایران، تهران،ایران

3 دانشجوی دکترا، دانشکده عمران، دانشگاه علم‌وصنعت ایران، تهران، ایران

چکیده

با توجه به افزایش مطالعات مربوط به ایمنی تقاطعات، مطالعه حاضر قصد دارد مروری کلی بر این مطالعات با استفاده از روش علم‌سنجی داشته باشد. در این تحقیق، 744 مقاله مربوط به ایمنی تقاطعات تا 1 آوریل 2021 از طریق موتور جست‌وجوی وب آو ساینس  (WoS)استخراج ‌شده و با استفاده از روش‌های تحلیل توصیفی، هم-استنادی، هم-تألیفی و هم-رخدادی کلمات به ترتیب ساختار توصیفی، معنایی، اجتماعی و مفهومی را با به‌کارگیری نرم‌افزارهای VOSviewer و Bibliometrix ارائه می‌دهد. همچنین، نحوه رشد و توسعه انتشارات، پر­استنادترین مقالات، موثر‌ترین نویسندگان، منابع، مؤسسات و کشورها مورد تجزیه ‌و تحلیل قرار می‌گیرد. نتایج نشان دادند که بر طبق تحلیل هم-استنادی، ساختار معنایی تحقیقات ایمنی تقاطعات به پنج خوشه اصلی تقسیم شده ‌است: مطالعات فراوانی تصادفات، شدت تصادفات، اقدامات و شاخص‌های عملکرد ایمنی، ایمنی کاربران آسیب‌پذیر، تخمین سطح ایمنی و تحلیل داده‌های تصادفات در تقاطعات راه. علاوه بر آن، با استفاده از تحلیل مفهومی کلید واژگان مقالات ایمنی تقاطعات، موضوع‌های مربوط به ایمنی دوچرخه‌ سواران، سیستم حمل‌ونقل هوشمند، شبیه‌سازی رانندگان، رفتار رانندگان، تحلیل قطعات و تقاطعات راه به‌ عنوان زمینه‌های محرک با تراکم و مرکزیت بالا در مطالعات شناسایی شدند. موضوعاتی مانند بیز تجربی، تخصیص منابع، ارتباط وسایل نقلیه، تجزیه ‌و تحلیل ایمنی خودکار، اقدامات، تقاطعات چراغ‌دار، وسایل نقلیه خودران، اتوماتای سلولی، رانندگان مسن و تقاطعات بدون چراغ نیز به‌ عنوان زمینه‌های پایه و اساسی شناسایی شدند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

A Review on Intersection Safety Studies with Bibliometric Methods

نویسندگان [English]

  • Ali Tavakoli Kashani 1
  • Ali Mirhashemi 2
  • Saeideh Amirifar 3
1 IUST
2 M.Sc. student, Iran University of Science and Technology, Tehran, Iran
3 Ph.D. student, Iran University of Science and Technology, Tehran, Iran
چکیده [English]

Considering the increase in intersection safety studies, the present study will review these studies using scientometric methods. To this aim, 744 articles related to intersection safety until April 1, 2021, were extracted from the Web of Science (WOS) research engine. In the current study, co-citation, co-author, and co-occurrence of words were presented with descriptive analysis methods using VOS viewer and Bibliometrix software, which provide a descriptive, social, and conceptual framework, respectively. Also, the growth and development of the publications, the most cited articles, the most influential authors, sources, institutions, and countries are analyzed. Results showed that according to the co-citation analysis, the conceptual structure of intersection safety is divided into five main clusters: accident frequency, accident severity, safety performance measures, safety of vulnerable users, estimation of safety level, and intersection accident data analysis studies. Moreover, using conceptual analysis of keywords in intersection safety articles, topics related to cyclist safety, intelligent transportation systems, driver simulation, driver behavior, segment analysis, and road intersections were identified as high density and high centrality in studies. Topics such as empirical Bayes, resource allocation, vehicle communication, automated safety analysis, countermeasures, old drivers, and intersections without traffic lights were identified as basic and transversal themes.

کلیدواژه‌ها [English]

  • Intersection safety
  • Bibliometrics
  • Review
  • Science mapping
  • Crash
[1] A. Tavakoli Kashani, A. Ahmadi Nezhad, A. Afshar, Evaluating the Effects of Countdown Timers on Intersection Safety: A Case Study in Arak, Iran, AUT Journal of Civil Engineering,  (2019).
[2] A. Tavakoli Kashani, S. Amirifar, A. Mirhashemi, Investigating the impact of driver and vehicle characteristics on the risk of red-light running crashes, Amirkabir Journal of Civil Engineering,  (2021).
[3] I.L.M.O, Iranian Legal Medicine Organization,  (2020).
[4] FHWA, About Intersection Safety, https://safety.fhwa.dot.gov/intersection/about/index.cfm,  (2021).
[5] R. Johnson, A. Watkinson, M. Mabe, The STM report, An overview of scientific and scholarly publishing. 5th edition October,  (2018).
[6] V.P. Diodato, P. Gellatly, Dictionary of Bibliometrics, Psychology Press, 1994.
[7] I. Zupic, T. Čater, Bibliometric methods in management and organization, Organizational Research Methods, 18(3) (2015) 429-472.
[8] M.J. Cobo, F. Chiclana, A. Collop, J.d. Ona, E. Herrera-Viedma, A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping, IEEE Transactions on Intelligent Transportation Systems, 15 (2013).
[9] R.M. Gandia, F. Antonialli, B.H. Cavazza, A.M. Neto, D.A.D. Lima, J.Y. Sugano, I. Nicolai, A.L. Zambalde, Autonomous vehicles: scientometric and bibliometric review*, Transport Reviews, 39(1) (2019) 9-28.
[10] X. Zou, W.L. Yue, H.L. Vu, Visualization and analysis of mapping knowledge domain of road safety studies, Accident Analysis and Prevention, 118 (2018) 131-145.
[11] H. Ospina-Mateus, L.A.Q. Jiménez, F.J. Lopez-Valdes, K. Salas-Navarro, Bibliometric analysis in motorcycle accident research: a global overview, Scientometrics, 121(2) (2019) 793-815.
[12] K. van Nunen, J. Li, G. Reniers, K. Ponnet, Bibliometric analysis of safety culture research, Safety Science, 108 (2018) 248-258.
[13] M.J. Cobo, F. Chiclana, A. Collop, J. De Ona, E. Herrera-Viedma, A bibliometric analysis of the intelligent transportation systems research based on science mapping, IEEE Trans. Intell. Transp. Syst., 15(2) (2014) 901-908.
[14] M. Aria, C. Cuccurullo, bibliometrix: An R-tool for comprehensive science mapping analysis, J. Inf., 11(4) (2017) 959-975.
[15]N.J. van Eck, L. Waltman, Software survey: VOSviewer, a computer program for bibliometric mapping, Scientometrics, 84(2) (2010) 523-538.
[16] S. Nakagawa, G. Samarasinghe, N.R. Haddaway, M.J. Westgate, R.E. O'Dea, D.W.A. Noble, M. Lagisz, Research Weaving: Visualizing the Future of Research Synthesis, Trends Ecol. Evol., 34(3) (2019) 224-238.
[17] B.C. Brookes, Theory of the Bradford law, Journal of documentation,  (1977).
[18] W.O. Neal, W.A. Paddock, Submission of Issues in Uncontrolled-Intersection Collision Cases in Texas--Including a Related Discussion of Some Recent Trends in the Negligence Per Se Doctrine, Tex. L. Rev., 44 (1965) 1.
[19] C. Lee, M. Abdel-Aty, Comprehensive analysis of vehicle–pedestrian crashes at intersections in Florida, Accident Analysis & Prevention, 37(4) (2005) 775-786.
[20] M. Poch, F. Mannering, Negative binomial analysis of intersection-accident frequencies, Journal of transportation engineering, 122(2) (1996) 105-113.
[21] M.R. Hafner, D. Cunningham, L. Caminiti, D. Del Vecchio, Cooperative collision avoidance at intersections: Algorithms and experiments, IEEE Trans. Intell. Transp. Syst., 14(3) (2013) 1162-1175.
[22] A. Adedokun, Application of Road Infrastructure Safety Assessment Methods at Intersections, in, 2016.
[23] M.J. Reurings, T. Eenink, R. Elvik, R. Cardoso, C. Stefan, Accident prediction models and road safety impact assessment: a state-of-the-art. Report D 2.1 of the RiPCORD-iSEREST project (Road Infrastructure Safety Protection-Core-Research and Development for Road Safety in Europe; Increasing safety and reliability of secondary roads for a sustainable Surface Transport),  (2007).
[24] D. Lord, F. Mannering, The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives, Transportation Research Part A: Policy and Practice, 44(5) (2010) 291-305.
[25] H.C. Chin, M.A. Quddus, Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections, Accident Analysis & Prevention, 35(2) (2003) 253-259.
[26] M.A. Abdel-Aty, A.E. Radwan, Modeling traffic accident occurrence and involvement, Accident Analysis & Prevention, 32(5) (2000) 633-642.
[27] X. Wang, M. Abdel-Aty, Temporal and spatial analyses of rear-end crashes at signalized intersections, Accident Analysis & Prevention, 38(6) (2006) 1137-1150.
[28] V. Shankar, F. Mannering, W. Barfield, Effect of roadway geometrics and environmental factors on rural freeway accident frequencies, Accident Analysis & Prevention, 27(3) (1995) 371-389.
[29] CROW, Road Safety Manual, ASVV Ede,  (2009).
[30] M. Abdel-Aty, J. Keller, Exploring the overall and specific crash severity levels at signalized intersections, Accident Analysis & Prevention, 37(3) (2005) 417-425.
[31] J.C. Milton, V.N. Shankar, F.L. Mannering, Highway accident severities and the mixed logit model: an exploratory empirical analysis, Accident Analysis & Prevention, 40(1) (2008) 260-266.
[32] R. Tay, S.M. Rifaat, Factors contributing to the severity of intersection crashes, Journal of Advanced Transportation, 41(3) (2007) 245-265.
[33] B.N. Persaud, R.A. Retting, P.E. Garder, D. Lord, Safety effect of roundabout conversions in the united states: Empirical bayes observational before-after study, Transportation Research Record, 1751(1) (2001) 1-8.
[34] D. Part, Highway safety manual, in, Aashto, 2010.
[35] T. Sayed, S. Zein, Traffic conflict standards for intersections, Transportation Planning and Technology, 22(4) (1999) 309-323.
[36] D. Gettman, L. Head, Surrogate safety measures from traffic simulation models, Transportation Research Record, 1840(1) (2003) 104-115.
[37] K. El-Basyouny, T. Sayed, Safety performance functions using traffic conflicts, Safety science, 51(1) (2013) 160-164.
[38] M. Khayesi, The Handbook of Road Safety Measures, in, BMJ Publishing Group Ltd, 2006.
[39] F.L. Mannering, C.R. Bhat, Analytic methods in accident research: Methodological frontier and future directions, Analytic methods in accident research, 1 (2014) 1-22.
[40] D. Lord, S.P. Washington, J.N. Ivan, Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory, Accident Analysis & Prevention, 37(1) (2005) 35-46.
[41] D.-G. Kim, Y. Lee, S. Washington, K. Choi, Modeling crash outcome probabilities at rural intersections: Application of hierarchical binomial logistic models, Accident Analysis & Prevention, 39(1) (2007) 125-134.
[42] X. Yan, E. Radwan, M. Abdel-Aty, Characteristics of rear-end accidents at signalized intersections using multiple logistic regression model, Accident Analysis & Prevention, 37(6) (2005) 983-995.
[43] D.J. Spiegelhalter, N.G. Best, B.P. Carlin, A. Van Der Linde, Bayesian measures of model complexity and fit, Journal of the royal statistical society: Series b (statistical methodology), 64(4) (2002) 583-639.
[44] E. Hauer, D.W. Harwood, F.M. Council, M.S. Griffith, Estimating safety by the empirical Bayes method: a tutorial, Transportation Research Record, 1784(1) (2002) 126-131.
[45] A. Ziakopoulos, G. Yannis, A review of spatial approaches in road safety, Accident Analysis & Prevention, 135 (2020) 105323.
[46] T. Hoffman, Innovative approach in road infrastructure safety management and road impact assessment, Bangkok: TSTS Road Safety Seminar,  (2014).
[47] Y. Pei, C. Fu, Investigating crash injury severity at unsignalized intersections in Heilongjiang Province, China, Journal of traffic and transportation engineering (English edition), 1(4) (2014) 272-279.
[48]  K. Haleem, M. Abdel-Aty, Examining traffic crash injury severity at unsignalized intersections, Journal of safety research, 41(4) (2010) 347-357.
[49] K. Obeng, Gender differences in injury severity risks in crashes at signalized intersections, Accident Analysis & Prevention, 43(4) (2011) 1521-1531.
[50] H.T. Abdelwahab, M.A. Abdel-Aty, Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections, Transportation Research Record, 1746(1) (2001) 6-13.
[51] S. Daniels, T. Brijs, E. Nuyts, G. Wets, Externality of risk and crash severity at roundabouts, Accident Analysis & Prevention, 42(6) (2010) 1966-1973.
[52] S. Daniels, T. Brijs, E. Nuyts, G. Wets, Injury crashes with bicyclists at roundabouts: influence of some location characteristics and the design of cycle facilities, Journal of safety research, 40(2) (2009) 141-148.
[53] R. Elvik, Effects on road safety of converting intersections to roundabouts: review of evidence from non-US studies, Transportation Research Record, 1847(1) (2003) 1-10.
[54] W. Hao, J. Daniel, Motor vehicle driver injury severity study under various traffic control at highway-rail grade crossings in the United States, Journal of safety research, 51 (2014) 41-48.
[55] W. Hao, C. Kamga, The effects of lighting on driver's injury severity at highway‐rail grade crossings, Journal of advanced transportation, 50(4) (2016) 446-458.
[56] W.H. Organization, Global status report on road safety 2018 (2018), Geneva, Switzerland, WHO,  (2019).
[57] L. Leden, Pedestrian risk decrease with pedestrian flow. A case study based on data from signalized intersections in Hamilton, Ontario, Accident Analysis & Prevention, 34(4) (2002) 457-464.
[58] S.S. Pulugurtha, V.R. Sambhara, Pedestrian crash estimation models for signalized intersections, Accident Analysis & Prevention, 43(1) (2011) 439-446.
[59] P.L. Jacobsen, Safety in numbers: more walkers and bicyclists, safer walking and bicycling, Injury prevention, 21(4) (2015) 271-275.
[60] N. Eluru, C.R. Bhat, D.A. Hensher, A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes, Accident Analysis & Prevention, 40(3) (2008) 1033-1054.