تحلیل شدت حوادث جاده ای با توجه به نوع خودور

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، گروه مهندسی صنایع، واحد سمنان، دانشگاه آزاد اسلامی، سمنان، ایران

2 دانش آموخته کارشناسی‌ارشد، گروه مهندسی صنایع، واحد سمنان، دانشگاه آزاد اسلامی، سمنان، ایران

3 استادیار، گروه مهندسی عمران، واحد سمنان، دانشگاه آزاد اسلامی، سمنان، ایران

10.22034/tri.2022.119318

چکیده

ایمنی جاده یک مساله شناخته شده هم برای کشورهای توسعه یافته و هم در حال توسعه است. از سه عامل جاده، خودرو، و راننده که در شکل گیری تصادفات جاده ای نقش دارند، این تحقیق نقش خودروها را در شدت حوادث مورد تحلیل قرار داده است. بدین منظور ابتدا رتبه بندی نوع وسیله مقصر با استفاده از روشهای تصمیم گیری چند شاخصه انجام شد و مشخص گردید که بالاترین شدت تصادف مشترکا مربوط به " تانکرهای سوختی حامل مواد خطرناک و قابل اشتعال " و "دوچرخه یا موتور سیکلت" است اما از آنجائیکه بیشترین فراوانی حوادث جاده مربوط به خودروهای سواری بود، در بخش دوم مطالعه به رتبه بندی شدت تصادف انواع خودرو سواری پرداخته شد. رتبه بندی خودروها تحت دو سناریوی وزن دهی برای خودروهایی که دارای فراوانی تصادف بالاتری بودند، انجام شد و رتبه نهائی از نظر شدت حوادث جاده ای با استفاده از روش کپ لند تعیین گردید. در ادامه تاثیر متغیر سن راننده نیز با استفاده روش آنالیز واریانس مبتنی بر اندازه گیری مکرر مورد بررسی قرار گرفت و مشخص گردید که سن راننده نیز بر احتمال جرحی یا منجر به فوتی بودن تصادف تاثیر گذار است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Severity Analysis of Road Accidents Based on Car Model

نویسندگان [English]

  • Ali Jahan 1
  • Afshin Abbaspour 2
  • Sorush Safakhah 3
1 Department of Industrial Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran.
2 M.Sc., Grad., Department of Industrial Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran.
3 Assistant Professor, Department of Civil Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran.
چکیده [English]

In our rapidly urbanizing world where the city dwellers need to travel either short or long distances by their vehicles, road safety has become at the heart of the attention of authorities in both developed and developing countries. As automobile becomes affordable nowadays, the number of personal cars increasing, and the expectancy of the car crash is rising spontaneously. The chief reasons for road incidents and car crashes can be investigated among road, vehicle, and drivers simultaneously. In this study, we only concentrate on the effects of vehicles on the severity of accidents. At first and by utilizing multi attribute decision making techniques, the ranking of each vehicle by models that was the culprit of incidence was determined. By analyzing the results, it appeared that trucks carrying dangerous and flammable materials, bicycles and motorbike s have dedicated the highest crash severity to themselves. Though the most common road accident was among those cars owned by someone, in the second part of the study, the severity of car crashes investigated among personal cars. Vehicle ranking performed under two weighting scenarios for those cars with a higher accident frequency, and the final rank was determined for the severity of road accidents by employing the Copeland method. Furthermore, the effect of driver age variable was evaluated using repeated-measures analysis of variance and it found that driver age also had an impact on the probability of casualty or fatality occurrence.

کلیدواژه‌ها [English]

  • Road accident
  • vehicle ranking
  • incident severity
  • repeated-measures ANOVA

مراجع

-Ahadi, M. R., Doagouyan, D., & Tavangar, M. (2010), "Evaluati A Review Of Hgv Role In Road Accidents, A Case Study Of Haraz Road", Traffic Management Studies, 5(17(
-Ataei, M., (2010), "Multi-Criteria Decision Making: Shahrood University Of Technology", pp.3-33.
-Beheshti Nia, M., & Bargbid, H., (2019), "A Hybrid Model To Identify Effective Factors In Road Transportation Hazards And Prioritize Black Spots (Case Study: Nezshabour-Sabzevar Axis)", Quarterly Journal Of Transportation Engineering, 10(3), pp.445-459.
 
-Broughton, J., (1996), "The Theoretical Basis For Comparing The Accident Record Of Car Models", Accident Analysis & Prevention, 28(1), pp.89-99.
-Broughton, J., (2003), "The Benefits Of Improved Car Secondary Safety", Accident Analysis & Prevention, 35(4), pp.527-535.
 
-Broughton, J., (2008), "Car Driver Casualty Rates In Great Britain By Type Of Car", Accident Analysis & Prevention, 40(4),
pp.1543-1552.
-Broughton, J., (2012), "The Influence Of Car Registration Year On Driver Casualty Rates In Great Britain", Accident Analysis & Prevention, 45, pp.438-445.
Das, S., Dutta, A., & Geedipally, S. R., (2019), "Applying Bayesian Data Mining To Measure The Effect Of Vehicular Defects On Crash Severity", Journal Of Transportation Safety & Security, pp.1-17.
 
-Ebrahimi, M. H., Sadeghniiat, K., & Dehghani, M., (2015), "Sleep Quality And Road Accidents In Shahroud Drivers", Occupational Medicine, pp.6(4).
 
-­Farahani Deljoo, F., Saghehei, E., & Azhari, L., (2012), "Identification & Assessment Of The Potential Errors In Relief And Rescue Operations In Road Accidents", Journal Of Rescue & Relief, 4(1).
-Gharaei, B., Hasanzadeh, S. M., Yad Elahi, Z., Ghalehbandi, F., Alavi Kariminejad Najmabadi, K., Sadeghikia, A., & Moshirpour, S., (2009), "Mental Health And Road Accidents: A Cross Sectional Study", Social Welfare, 9(33).
-Goniewicz, K., Goniewicz, M., Pawłowski, W., & Fiedor, P., (2016), "Road Accident Rates: Strategies And Programmes For Improving Road Traffic Safety, European Journal Of Trauma And Emergency Surgery", 42(4), pp.433-438.
 
-Hwang, C.-L., & Yoon, K., (1981), "Methods For Multiple Attribute Decision Making", In Multiple Attribute Decision Making, Springer, pp.­58-191.
 
-Iyanda, A. E., (2019), "Geographic Analysis Of Road Accident Severity Index In Nigeria", International Journal Of Injury Control And Safety Promotion, 26(1), pp.72-81.
 
-Jahan, A., Khatami, S. M. M., & Abbaspour, A. (2018), "Improving The Potential Risks Of Traveling By Bus Through Fmea. Road", 26(96), pp.243-257.
 
-Masoud Kiapour, G. B., (2016), "Evaluation Of Variables Affecting The Safety Of Intercity Two-Lane Roads By The Hierarchical Analysis Method (Ahp)", Paper Presented At The International Conference Of Engineering And Applied Science, Dubai-Emerates
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
-Rezaeenour, J., Hasanzade, Y., & Jamshidi, E. (2018), "Identification Of The Incident Points Of The Roads Of Moeslati In Qom Province", Rahvar, 1397(42), pp.63-83.
 
-Ryder, B., Gahr, B., Egolf, P., Dahlinger, A., & Wortmann, F., (2017), "Preventing Traffic Accidents With In-Vehicle Decision Support Systems-The Impact Of Accident Hotspot Warnings On Driver Behaviour", Decision Support Systems, 99, pp.64-74.
 
-Violence, W. H. O., Prevention, I., & Organization, W. H., (2013), "Global Status Report On Road Safety 2013: Supporting A Decade Of Action: World Health Organization".
 
-Weinfurt, K. P., (2000), "Repeated Measures Analysis: Anova, Manova, And Hlm".
 
-Wenzel, T., (2013), "The Effect Of Recent Trends In Vehicle Design On Us Societal Fatality Risk Per Vehicle Mile Traveled", And Their Projected Future Relationship With Vehicle Mass. Accident Analysis & Prevention, 56, pp.71-81.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

فایل ها

هم رسانی

ارجاع به این مقاله

آمار