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Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Department of Rural Roads (DRR) is one of the highway authorities in Thailand responsible for over 48 000 kilometres of rural roads and highway networks. One of its responsibilities is to provide better road safety management. In road safety procedures, black spots are usually identified by observing the frequency of accidents at a particular road section. This research aims to develop a model that includes levels of accident severity in the black spot identification process. The classification of severity levels includes fatalities, serious injuries, minor injuries, and damaged property only. The Analytic Hierarchy Process (AHP) is employed to derive the weight of each severity level. The identification model is developed using Equivalent Accident Number (EAN) and Upper Control Limit (UCL). The data applied in the model are obtained from the road accident investigation of DRR. Five roads — Nakhon Ratchasima 3052, Chonburi 1032, Nonthaburi 3021, Samutprakarn 2001 and Chiangmai 3029 — have been selected based on the top frequency accident recorded in the last three years. Based on the results of black spots identified in the study, most accidents occurred from frontal and rear-ended impacts due to exceeded speed limits. The article discusses recommendations.
Rocznik
Strony
57--71
Opis fizyczny
Bibliogr. 22 poz., tab.
Twórcy
  • TREC, Sirindhorn International Institute of Technology, Thammasat University, Thailand
  • TREC, Sirindhorn International Institute of Technology, Thammasat University, Thailand
Bibliografia
  • Batagarawa, R., Williams, J., Potts, J., & Brown, J. (2015). Use of Analytic Hierarchy Process (AHP) as an Instrument to Develop a Solid Waste Management Assessment Tool. Global Journal of Advanced Engineering Technologies, 4(2), 70-75.
  • Chiangmai University. (2018). The Development of Road Safety Audits System for Department of Rural Roads Thailand. Thailand: Department of Rural Roads.
  • Direktorat Jenderal Perhubungan Darat. (2007). Pedoman Operasi Accident Black Spot Investigation Unit/Unit Penelitian Kecelakaan Lalu Lintas (ABIU/UPK). Jakarta: Ministry of Transportation Republic of Indonesia. doi: 10.15294/jtsp.v19i2.10768
  • Elvik, R. (2007). State-of-the-Art Approaches to Road Accident Black Spot Management and Safety Analysis of Road Networks. Oslo: The Institue of Transport Economics (TOI).
  • Engineering Committee for Standardization of Transportation Infrastructure. (2004). Handling Location of Traffic Accident. Department of Settlement and Regional Infrastructure. Jakarta: Department of Settlement and Regional Infrastructure.
  • Halim, H., & Saing, Z. (2018). Severity Characteristics and Identification of Traffic Accident Prone Areas in Makassar City. Journal of Advanced Research in Dynamical and Control Systems, 10, 2134-2141.
  • Kim, K., Bernardin, V., Bernardin, L., & Associates. (1999). Application of an Analytical Hierarchy Process at the Indiana Department of Transportation for Prioritizing Major Highway Capital Investments. In R. Donnelly (Ed.), The Seventh TRB Conference on the Applications of Transportation Planning Methods, (pp. 266-273). Boston.
  • Kowtanapanich, W. (2007). Black Spot Identification Methods in Thailand. Chulachomklao Royal Military Academy Journal, 126-134.
  • Leelakajonjit, A., & Iamtrakul, P. (2013). Appropriated Accident Black Spot Definition for Thai Police. The National Convention on Civil Engineering. Chiangmai.
  • Leuhery, L., & Hamkah, H. (2020). Determination of Black Site Area Based on Equivalent Accident Number Analysis: Case Study National Roads in Ambon City. Civil Engineering and Architecture, 1063-1073.
  • Mon, C. (2016). Identiyfying Harzadous Locations based on Expected Crash Frequency on Yangon-Mandalay Expressway in Myanmar. Retrieved from http://sutir.sut.ac.th:8080/jspui/handle/123456789/6201
  • Nguyen, H. H., Taneerananon, P., & Luathep, P. (2016). Approach to Identifying Black Spots Based on Potential Saving in Accident Costs. Engineering Journal, 10(2), 110-122.
  • Nguyen, X. D., Pham, H. S., Chu, M. H., & Nguyen, H. D. (2013). Vietnam Road Black-spot Evaluation by Accident Schema: Pilot Study for a Sub-urban Area of Hanoi. The Eastern Asia Society for Transportation Studies. Hanoi. doi: 10.13189/cea.2020.080533
  • Office of Road Safety Audits (ORSA). (2017). Road Safety Principle Manual. Bangkok: Department of Rural Roads Thailand.
  • Soemitro, R. A., & Bahat, Y. S. (2005). Accident Analysis Assessment Factors Influence to The Accident on Traffic Safety Improvement (Case: Palangkaraya- Tangkiling National Road). Eastern Asia Society for Transportation Studies. Eastern Asia Society for Transportation Studies, 5, 2091-2105.
  • Sugiyanto, G., Fadli, A., & Santi, M. Y. (2017). Identification of Black Spot and Equivalent Accident Number Using Upper Control Limit Method. ARPN Journal of Engineering and Applied Sciences, 12, 528-535.
  • Susilo, B. H. (2016). Guideline for Survey, Investigation, and Design of Black Spot Location (SID-BSL) and Its Application in Lampung Province, Indonesia. Civil Engineering Dimension, 18, 49-56. doi: 10.9744/ced.18.1.49-56
  • Susilo, B. H., Geovan, R., & Imanuel, I. (2018). Identifying Black Spots in Southeast Sulawesi Province, Indonesia: A Combination Method of Equivalent Accident Number and Road Safety Survey Value. 11th Asia Pacific Transportation and the Environment Conference (APTE 2018). doi: 10.2991/apte-18.2019.28
  • Taneerananon, P., Lamtrakul, P., Koren, C., & Nguyen, H. (2013). The Significance of Developing A New Black Spot Safety Management Approach for The Local Road Traffic Nature of Ho Chi Minh City. Acta Technica Jaurinensis, 6(2), 91-106.
  • Thai RSC - Road Accidents Data Center for Road Safety Culture. (2020). Thai RSC - Road Accidents Data Center for Road Safety Culture. (Road Accident Victims Protection Company Limited) Retrieved from http://rvpreport.rvpeservice.com/viewrsc.aspx?report=0486&session=16
  • Wedasana, A. S. (2011). Analysis of Accident-Prone Areas and Compilation of Databases based on Geographical Information Systems (Case Study of Denpasar City). Indonesia: Universitas Udayana.
  • Xiaolan, Z., Hong, X., & Huiping, Y. (2013). Determination of the Weight Values of Assessment Indexes of Website Based on AHP - Take the Website of University Library as an Example. International Conference on Computational and Information Sciences, 652-655. doi: 10.1109/ICCIS.2013.177H
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-20218b67-2d4e-491a-b24b-69ae16b4a659
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