"ROAD SAFETY ASSESSMENT FOR ACCIDENT AND NON-ACCIDENT CASES SUPPORTING " by Brian Nararya Nugraha, Sekar Warangi Nurcahyati et al.
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Author ORCID Identifier

0000-0002-9975-806X

Article Classification

Sustainable Development

Abstract

Halving the number of global deaths and injuries from road traffic accidents is one target of the Sustainable Development Goals 2030, which is still a challenging problem in Indonesia. However, the majority of research on this topic uses accident-based methods, which limits the safety analysis. Two road safety assessment methods are used to close the gap, with the addition of non-accident-based methods such as Road Safety Audits (RSA). The Margonda Raya Road, which is categorised as a traffic accident blackspot, was selected for the case study. For this, a field survey of the road segment is carried out. To minimise analysis bias, the RSA is conducted and finished first before the accident-based assessment. With the two combined methods, more safety concerns are successfully identified rather than using only one method. Several potential road safety risks were found through RSA, especially the hazard on the pedestrian crossings. For the accident-based method, a blackspot analysis and collision diagram are analysed based on 57 traffic accident data for over 3 years obtained from the Integrated Road Safety Management System (IRSMS). Accident-based data showed major findings of traffic accidents that happened at night with limited lighting. With countermeasures recommendation and implementation, the predicted crash is then calculated using the Crash Modification Factor (CMF). The countermeasures involve installing new solar-powered lighting to remove levelled pedestrian crossings, with a total cost of IDR 178,201,981. Based on the calculation, there is a potential to reduce 80% of the traffic accidents in this road segment. In addition, the calculation using the Benefit-per-Cost Ratio (BCR) showed a good result with a BCR value of 2.6. Improving the lighting is shown to have a potential impact on achieving the SDG targets in this sector and another sector that needs further research.

References

AASHTO. (2010). Highway safety manual (1st ed.). American Association of State Highway and Transportation Officials. https://www.highwaysafetymanual.org/

Abu Mansor, S. N., Ahmad Saman, M. S., Tengku Razman, T. M. S., & Masnel, H. (2019). Road safety audit – what we have learnt? IOP Conference Series: Materials Science and Engineering, 512(1), 012023. https://doi.org/10.1088/1757-899X/512/1/012023

Adhikaratma, H., Karina, Kinansyahputra, M. R., Septiawan, A., & Siregar, M. L. (2022). Identification and analysis of the effectiveness of handling blackspots on urban roads (case study: Depok City). Jurnal Rekayasa Sipil dan Lingkungan, 6(2), 200-209. https://doi.org/10.19184/jrsl.v6i2.36611

Al-Marafi, M. N., & Somasundaraswaran, K. (2023). A review of the state-of-the-art methods in estimating crash modification factor (CMF). Transportation Research Interdisciplinary Perspectives, 20, 100839. https://doi.org/10.1016/j.trip.2023.100839

Albuquerque, F. D. B. d., & Awadalla, D. M. (2020). Roadside Fixed-Object Collisions, Barrier Performance, and Fatal Injuries in Single-Vehicle, Run-Off-Road Crashes. Safety, 6(2), 27. https://doi.org/10.3390/safety6020027

AlHamad, S., Almallah, M., Naser, M. N., Alhajyaseen, W. K. M., & de Roos, Michael P. (2023). Examining the role of road safety audits worldwide: exploring road safety expert's opinions. International Journal of Injury Control and Safety Promotion, 30(1), 106-115. https://doi.org/10.1080/17457300.2022.2114090

Ashish, & Mhaske, S. Y. (2023). Road safety audit (rsa) guidelines of selected nations – a comparative review. Journal of Road Safety, 34(4), 42-50. https://doi.org/10.33492/JRS-D-23-209291

Assalam, M. F., Rifai, A. I., & Taufik, M. (2023). The effectiveness analysis of frontage road on Jalan Margonda Raya, Depok. Indonesian Journal of Multidisciplinary Science, 1(1), 383-396. https://doi.org/10.55324/ijoms.v1i1.396

Athiappan, K., Karthik, C., Rajalaskshmi, M., Subrata, C., Dastjerdi, H. R., Liu, Y., Fernández-Campusano, C., & Gheisari, M. (2022). Identifying influencing factors of road accidents in emerging road accident blackspots. Advances in Civil Engineering, 2022, 9474323. https://doi.org/10.1155/2022/9474323

Ayoma Sakti, H. A. (2023). Upaya penertiban lalu lintas melalui sistem electronic traffic law enforcement dengan pengawasan cctv di Kota Surabaya Pusat. JURNAL LEGISIA, 15(2), 191-200. https://doi.org/10.58350/leg.v15i2.326

Aziz, S., & Ram, S. (2022). A meta-analysis of the methodologies practiced worldwide for the identification of road accident black spots. Transportation Research Procedia, 62, 790-797. https://doi.org/10.1016/j.trpro.2022.02.098

Baltierra, S. O. (2019). Urban signs: The relationship between signage and road accidents. The Design Journal, 22(sup1), 2163-2164. https://doi.org/10.1080/14606925.2019.1595455

Berg, K. v. d., Herlambang, S., & Rahardjo, P. (2020). Studi perkembangan pola ruang kawasan Margonda Raya. STUPA, 2(2), 2657-2672. https://doi.org/10.24912/stupa.v2i2.8856

Bhwana, P. G. (2020). Depok to Intervene 4 blackspot points or accident-prone areas. Tempo. Retrieved 8/3/2024 from https://en.tempo.co/read/1307072/depok-to-intervene-4-black-spot-points-or-accident-prone-areas

Biswas, S., Chandra, S., & Ghosh, I. (2017). Effects of on-Street parking in urban context: a critical review. Transportation in Developing Economies, 3(1), 10. https://doi.org/10.1007/s40890-017-0040-2

Cai, A. W. T., Manousakis, J. E., Singh, B., Kuo, J., Jeppe, K. J., Francis-Pester, E., Shiferaw, B., Beatty, C. J., Rajaratnam, S. M. W., Lenné, M. G., Howard, M. E., & Anderson, C. (2021). On-road driving impairment following sleep deprivation differs according to age. Sci Rep, 11(1), 21561. https://doi.org/10.1038/s41598-021-99133-y

Cao, Y., Yang, Z. Z., & Zuo, Z. Y. (2016). The effect of curb parking on road capacity and traffic safety. European Transport Research Review, 9(1), 4. https://doi.org/10.1007/s12544-016-0219-3

CMF Clearinghouse. (2021). Updated CMF star ratings. Federal Highway Administration. Retrieved 30/01/2024 from https://www.cmfclearinghouse.org/changes.php

Cui, H., Dong, J., Zhu, M., Li, X., & Wang, Q. (2022). Identifying accident black spots based on the accident spacing distribution. Journal of Traffic and Transportation Engineering (English Edition), 9(6), 1017-1026. https://doi.org/10.1016/j.jtte.2021.02.006

Daniels, S., Martensen, H., Schoeters, A., Van den Berghe, W., Papadimitriou, E., Ziakopoulos, A., Kaiser, S., Aigner-Breuss, E., Soteropoulos, A., Wijnen, W., Weijermars, W., Carnis, L., Elvik, R., & Perez, O. M. (2019). A systematic cost-benefit analysis of 29 road safety measures. Accident Analysis & Prevention, 133, 105292. https://doi.org/10.1016/j.aap.2019.105292

Departemen Pekerjaan Umum. (2005). Perhitungan besaran biaya kecelakaan lalu lintas dengan menggunakan metoda the gross output (human capital). (Pd T-02-2005-B). Jakarta: Departemen Pekerjaan Umum Retrieved from https://binamarga.pu.go.id/index.php/peraturan/dokumen/pedoman-perhitungan-besaran-biaya-kecelakaan-lalu-lintas-dengan-metoda-the-gross-output-human-capital

Direktorat Jenderal Bina Marga. (2024). Pedoman audit keselamatan jalan. (03 /P /BM /2024). Jakarta: Kementerian PUPR Retrieved from https://binamarga.pu.go.id/uploads/files/1989/03pbm2024-pedoman-audit-keselamatan-jalan.pdf

Du, Z., Deng, M., Lyu, N., & Wang, Y. (2023). A review of road safety evaluation methods based on driving behavior. Journal of Traffic and Transportation Engineering (English Edition), 10(5), 743-761. https://doi.org/10.1016/j.jtte.2023.07.005

Fotios, S., & Gibbons, R. (2018). Road lighting research for drivers and pedestrians: The basis of luminance and illuminance recommendations. Lighting Research & Technology, 50(1), 154-186. https://doi.org/10.1177/1477153517739055

Govinda, L., & Ravishankar, K. V. R. (2022). A critical review on pedestrian crossing behaviour and pedestrian-vehicle interactions. Innovative Infrastructure Solutions, 7(5), 313. https://doi.org/10.1007/s41062-022-00917-6

Hou, G., & Yang, J. (2021). Measuring and examining traffic sign comprehension with event-related potentials. Cognition, Technology & Work, 23(3), 497-506. https://doi.org/10.1007/s10111-020-00632-1

Hussain, Q., Feng, H., Grzebieta, R., Brijs, T., & Olivier, J. (2019). The relationship between impact speed and the probability of pedestrian fatality during a vehicle-pedestrian crash: A systematic review and meta-analysis. Accident Analysis & Prevention, 129, 241-249. https://doi.org/10.1016/j.aap.2019.05.033

Infante, P., Jacinto, G., Afonso, A., Rego, L., Nogueira, P., Silva, M., Nogueira, V., Saias, J., Quaresma, P., Santos, D., Góis, P., & Manuel, P. R. (2023). Factors that influence the type of road traffic accidents: a case study in a district of portugal. Sustainability, 15(3), 2352. https://doi.org/doi:10.3390/su15032352

Job, R. F. S., Truong, J., & Sakashita, C. (2022). The ultimate safe system: redefining the safe system approach for road safety. Sustainability, 14(5), 2978. https://doi.org/10.3390/su14052978

Jun, Y., Park, J., & Yeom, C. (2021). The evaluation of experimental variables for sustainable virtual road safety audits. Sustainability, 13(11), 5899. https://doi.org/10.3390/su13115899

Karamanlis, I., Kokkalis, A., Profillidis, V., Botzoris, G., Kiourt, C., Sevetlidis, V., & Pavlidis, G. (2023a). Deep learning-based black spot identification on greek road networks. Data, 8(6), 110. https://doi.org/10.3390/data8060110

Karamanlis, I., Nikiforiadis, A., Botzoris, G., Kokkalis, A., & Basbas, S. (2023b). Towards sustainable transportation: the role of black spot analysis in improving road safety. Sustainability, 15(19), 14478. https://doi.org/10.3390/su151914478

Lan, B., & Srinivasan, R. (2021). Comparison of crash modification factors for engineering treatments estimated by before–after empirical bayes and propensity score matching methods. Transportation Research Record, 2675(1), 148-160. https://doi.org/10.1177/0361198120953778

Li, Q., Wang, Z., Kolla, R. D. T. N., Li, M., Yang, R., Lin, P.-S., & Li, X. (2023). Modeling effects of roadway lighting photometric criteria on nighttime pedestrian crashes on roadway segments. Journal of Safety Research, 86, 253-261. https://doi.org/10.1016/j.jsr.2023.07.004

Li, Q., Wang, Z., Li, M., Yang, R., Lin, P.-S., & Li, X. (2021). Development of crash modification factors for roadway illuminance: A matched case-control study. Accident Analysis & Prevention, 159, 106279. https://doi.org/10.1016/j.aap.2021.106279

Liu, J., Li, J., Wang, K., Zhao, J., Cong, H., & He, P. (2019). Exploring factors affecting the severity of night-time vehicle accidents under low illumination conditions. Advances in Mechanical Engineering, 11(4), 1687814019840940. https://doi.org/10.1177/1687814019840940

Muto'in, N. F., & Utami, A. (2022). Analisis tingkat kecelakaan lalu lintas menggunakan metode accident rate dan equivalent accident number (EAN) di Kota Magelang. Jurnal Rekayasa Sipil (JRS-Unand), 18(1), 60-67. https://doi.org/10.25077/jrs.18.1.60-67.2022

Nugraha, F. A. (2023). MTI: Traffic accident rate to rise by 6.8 percent in 2023. ANTARA. Retrieved 28/5/2024 from https://www.antaranews.com/berita/3889533/mti-angka-kecelakaan-lalu-lintas-tahun-2023-naik-68-persen

Pueboobpaphan, R., Pueboobpaphan, S., & Sukhotra, S. (2022). Acceptable walking distance to transit stations in Bangkok, Thailand: Application of a stated preference technique. Journal of Transport Geography, 99, 103296. https://doi.org/10.1016/j.jtrangeo.2022.103296

Sachs, J. D., Lafortune, G., Fuller, G., & Drumm, E. (2023). Implementing the SDG stimulus. Sustainable development report 2023. https://doi.org/10.25546/102924

Sha, H., Haouari, R., Singh, M. K., Papazikou, E., Quddus, M., Chaudhry, A., Thomas, P., & Morris, A. (2024). How can on-street parking regulations affect traffic, safety, and the environment in a cooperative, connected, and automated era? European Transport Research Review, 16(1), 18. https://doi.org/10.1186/s12544-023-00628-8

Soole, D. W., O'Hern, S., Cameron, M., Peiris, S., Newstead, S., Anderson, W., & Smith, T. (2023). Using gps probe speed data to estimate the attribution of speeding on casualty crashes: a case study in Queensland. Journal of Road Safety, 34(1), 39-48. https://doi.org/10.33492/JRS-D-22-00003

Souleyrette, R. R., Tanzen, R., Green, E. R., Staats, W. N., & Lause III, F. V. (2020). Crash modification factor recommendation list. Kentucky Transportation Center. https://doi.org/10.13023/ktc.rr.2020.22

Sugiyanto, G. (2017). The cost of traffic accident and equivalent accident number in developing countries (case study in Indonesia). ARPN Journal of Engineering and Applied Sciences, 12(2), 389-397.

Tang, J., Wan, L., Schooling, J., Zhao, P., Chen, J., & Wei, S. (2022). Automatic number plate recognition (ANPR) in smart cities: A systematic review on technological advancements and application cases. Cities, 129, 103833. https://doi.org/10.1016/j.cities.2022.103833

Treeranurat, W., & Suanmali, S. (2021). Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand. Engineering Management in Production and Services, 13(4), 57-71. https://doi.org/10.2478/emj-2021-0031

Truong, J., Strandroth, J., Logan, D. B., Job, R. F. S., & Newstead, S. (2022). Utilising human crash tolerance to design an interim and ultimate safe system for road safety. Sustainability, 14(6), 3491. https://doi.org/10.3390/su14063491

United States Federal Highway Administration. (2006). FHWA road safety audit guidelines. (fhwa-sa-06-06). Washington, D.C.: U.S. Dept. of transportation Retrieved from https://highways.dot.gov/sites/fhwa.dot.gov/files/2022-08/FHWA_SA_06_06.pdf

Wan, Y., He, W., & Zhou, J. (2021). Urban road accident black spot identification and classification approach: a novel grey verhuls–empirical bayesian combination method. Sustainability, 13(20), 11198. https://doi.org/10.3390/su132011198

WHO. (2021). SDG Target 3.6 Road traffic injuries. WHO. Retrieved 8/3/2024 from https://www.who.int/data/gho/data/themes/topics/sdg-target-3_6-road-traffic-injuries

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