New Insights into the Viareggio Railway Accident

被引:2
|
作者
Manca, Davide [1 ]
机构
[1] Politecn Milan, Dipartimento Chim Mat & Ingn Chim Giulio Natta, PSE Lab, I-20133 Milan, Italy
关键词
D O I
10.3303/CET1436003
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The Viareggio railway accident took place in the night of June 29th, 2009, with the derailment of a freight train, the emission and dispersion of more than 45 t of LPG, the ignition and explosion of the dense gas cloud, and the liquid pool fire. Eventually, the accident consequences were relevant with 32 fatalities, 26 casualties, and property losses valued at tens of millions of euros. Some papers report the most important facts and the simulations that were done in the months just after the accident to understand at different levels what happened and to depict the most probable accident dynamics. Most of the input data to the simulation models, reported in the scientific literature, where based on reasonable assumptions and hypotheses often deduced by public domain material such as articles on newspapers and videos on the Internet. The main problem about the reliability of the simulations was that the accident scene was put under judicial attachment by the public prosecution's office. The measured data and the analyses performed by the investigatory commission were not available publicly. Consequently, the degree of uncertainty of dynamic simulations that were published in the literature was rather high and some papers discussed it extensively. In the second semester of 2012, the legal proceedings were deposited and are now available publicly. They comprise a very large amount of digitalized data that occupy gigabytes of space. From those data, it is possible to extract some important pieces of information that shed light on a number of open issues and improve the understanding of the accident dynamics. The paper reports the most important pieces of information on the Viareggio accident and discusses the role played by them on the evolution of the event. The final objective is reducing the uncertainties about input data, while reconstructing with higher detail the most probable accident dynamics.
引用
收藏
页码:13 / 18
页数:6
相关论文
共 50 条
  • [21] The railway accident of Eschede - technical background
    Esslinger, V
    Kieselbach, R
    Koller, R
    Weisse, B
    [J]. ENGINEERING FAILURE ANALYSIS, 2004, 11 (04) : 515 - 535
  • [22] SAFETY GRILLS TO AVOID RAILWAY PLATFORM ACCIDENT
    Bharambe, Rushikesh C.
    Saswade, Sakshi K.
    Satpute, Sonali L.
    Ghuge, Nilam N.
    [J]. 2023 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS, ICEES, 2023, : 1 - 4
  • [23] PUBLIC ACCIDENT INQUIRIES - THE CASE OF THE RAILWAY INSPECTORATE
    HUTTER, BM
    [J]. PUBLIC ADMINISTRATION, 1992, 70 (02) : 177 - 192
  • [24] Edge Hill railway accident: A systemic analysis
    Santos-Reyes, J. R.
    Beard, A. N.
    [J]. SAFETY AND RELIABILITY FOR MANAGING RISK, VOLS 1-3, 2006, : 71 - 76
  • [25] DEATH BY RAILWAY ACCIDENT - INCIDENCE OF TRAUMATIC ASPHYXIA
    HAMBECK, W
    PUESCHEL, K
    [J]. JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 1981, 21 (01): : 28 - 31
  • [26] Metro railway safety: An analysis of accident precursors
    Kyriakidis, Miltos
    Hirsch, Robin
    Majumdar, Arnab
    [J]. SAFETY SCIENCE, 2012, 50 (07) : 1535 - 1548
  • [27] A systemic analysis of the Edge Hill railway accident
    Santos-Reyes, Jaime
    Beard, Alan N.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2009, 41 (06): : 1133 - 1144
  • [28] New Insights into Road Accident Analysis through the Use of Text Mining Methods
    Krause, Sabine
    Busch, Fritz
    [J]. MT-ITS 2019: 2019 6TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), 2019,
  • [29] Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights
    Moosavi, Sobhan
    Samavatian, Mohammad Hossein
    Parthasarathy, Srinivasan
    Teodorescu, Radu
    Ramnath, Rajiv
    [J]. 27TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2019), 2019, : 33 - 42
  • [30] A General Model for Railway Systems Risk Assessment with the Use of Railway Accident Scenarios Analysis
    Leitner, Bohus
    [J]. TRANSBALTICA 2017: TRANSPORTATION SCIENCE AND TECHNOLOGY, 2017, 187 : 150 - 159