Macroscopic evaluation of road traffic safety using Qgis: A case study of Tuyen Quang province
Email:
vuongcan@utc.edu.vn
Từ khóa:
road traffic accidents, QGIS, macroscopic evaluation, road traffic safety
Tóm tắt
Road traffic safety in Vietnam is one of the top social concerns due to the complicated situation of traffic accidents, requiring in-depth research to find appropriate solutions. Macroscopic evaluation of traffic safety is one of the effective ways to prevent and reduce road traffic accidents. The paper presents a new method based on an Equivalent Severity Score (ESS) to evaluate road traffic safety in an area using a geographic information system (GIS) tool, namely QGIS. The road traffic accident (RTA) data from 2021 to 2023 in Tuyen Quang province, Vietnam, was used to analyze and test this method. First, the RTA data was divided by the administrative units of Tuyen Quang, using several evaluation indicators, including the number of traffic accidents, fatalities, serious injuries, and slight injuries. Then, the ESS was determined based on these evaluation indicators to measure the seriousness of RTA across the administrative units. Finally, the ranking of road traffic safety of administrative units is presented by using QGIS software. From there, the traffic authorities can easily understand areas where RTA occurs more seriously and provide reasonable solutions. The results of the paper will help traffic authorities have more basis in making decisions related to solutions to solve traffic problems not only in Tuyen Quang province of Vietnam but also in other localitiesTài liệu tham khảo
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[4]. U. Brannolte, A. Munch, D.-I. H. Vo, Software-based road safety analysis in Germany, in 4th IRTAD Conference, (2009) 207-218.
[5]. J. Yang, Z. Wu, T. Chen, Review of Urban Road Traffic Safety Evaluation Methods, in the ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation, (2013) 2503-2508.
[6]. D. Mohan, G. Tiwari, S. Mukherjee, Urban traffic safety assessment: a case study of six Indian cities, IATSS Research, 39 (2016) 95-101. https://doi.org/10.1016/j.iatssr.2016.02.001
[7]. M. He, X. Guo, Y. Chen, L. Guo, Application of improved gray clustering method in urban traffic safety assessment, Journal of Transport Information and Safety, 28 (2010) 104-107.
[8]. X. C. Vuong, R. F. Mou, T. T. Vu, Analysis and Forecast of Road Traffic Accidents in Vietnam based on Grey BP neural network, in the FAIR, (2018) 35-41.
[9]. X. C. Vuong, T. T. Vu, Comparison and Ranking Road Traffic Accidents Based on Grey Relational Analysis, in 2022 Science and Technology Conference of ITST, Hanoi, Industry and Trade House, (2022) 308-313 (In Vietnamese).
[10]. C. T. Nguyen, X. C. Vuong, T. T. Vu, Exploring Human-error factors contributing to motorcycle accidents in Hanoi city using Grey relational analysis, ASEAN Engineering Journal, 13 (2023) 25-31. https://doi.org/10.11113/aej.v13.18537
[11]. X. C. Vuong, R.-F. Mou, T. T. Vu, A prediction model of road traffic fatalities in Hanoi using improved grey model GM (1, 1), Science Journal of Transportation, 10 (2020) 43-49.
[12]. X. C. Vuong, T. T. Vu, X. V. Phan, An Identification Method of Traffic Congestion for Urban Road Segments in Vietnam Utilizing Comprehensive Fuzzy Assessment, Tạp chí GTVT, 12 (2020) 137-140.
[13]. Y. Liu, X. Huang, J. Duan, H. Zhang, The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method, Natural hazards, 88 (2017) 1409-1422. https://doi.org/10.1007/s11069-017-2923-2
[14]. H. Omrani, M. Amini, A. Alizadeh, An integrated group best-worst method–Data envelopment analysis approach for evaluating road safety: A case of Iran, Measurement, 152 (2020) 107330. https://doi.org/10.1016/j.measurement.2019.107330
[15]. S. Ma, C. Shao, Z. Ma, D. Liu, Traffic Safety Evaluation of the 30 Provincial Capital in China Based on Principal Component Analysis, in ICCTP 2009: Critical Issues In Transportation Systems Planning, Development, and Management, 2009, pp. 1-7.
[16]. X. Xu, B. Chen, F. Gan, Traffic safety evaluations based on grey systems theory and neural network, in 2009 WRI World Congress on Computer Science and Information Engineering, IEEE, (2009) 603-607.
[17]. K. G. Le, P. Liu, L.-T. Lin, Determining the road traffic accident hotspots using GIS-based temporal-spatial statistical analytic techniques in Hanoi, Vietnam, Geo-spatial Information Science, 23 (2020) 153-164. https://doi.org/10.1080/10095020.2019.1683437
[18]. K. Geurts, G. Wets, T. Brijs, K. Vanhoof, Identification and ranking of black spots: Sensitivity analysis, Transportation Research Record, 1897 (2004) 34-42. https://doi.org/10.3141/1897-05
[19]. Quantum. QGIS. https://www.qgis.org/, (accessed 30 June 2024).
[20]. GADM. Download GADM data (version 3.6). https://gadm.org/download_country_v3.html, (accessed 30 June 2024).
Tải xuống
Chưa có dữ liệu thống kê
Nhận bài
31/07/2024
Nhận bài sửa
19/11/2024
Chấp nhận đăng
10/01/2025
Xuất bản
15/01/2025
Chuyên mục
Công trình khoa học
Kiểu trích dẫn
Vuong Xuan, C., Bui Duy, H., & Tran Trung, H. (1736874000). Macroscopic evaluation of road traffic safety using Qgis: A case study of Tuyen Quang province. Tạp Chí Khoa Học Giao Thông Vận Tải, 76(1), 79-88. https://doi.org/10.47869/tcsj.76.1.7
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37
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17
