Risk analysis system for the transport of hazardous materials.

INTRODUCTION In this paper, a literature study on risk analysis systems for the transport of hazardous materials was conducted. RESULTS The insights that resulted from this literature review have led to the development of a refined approach to map the risk of hazmat transport in Flanders based on historical accident data. The proposed framework allows setting up an overall risk map for hazmat transport by different transport modes. Additionally, a methodology to calculate a local accident risk, which takes local infrastructure parameters and accident data into account, is being introduced. In the presented framework one of the general principles is that the risk of a catastrophic hazmat incident can be divided into two parts, which can both be validated on the basis of accident data: (a) the calculation of the general probability of the occurrence of an accident based on international accident data of transport of hazardous materials--this is the basis for the global risk map, and (b) the calculation of the local probability of the occurrence of an accident based on accident data and infrastructure parameters of the complete available freight transport in Flanders--this is the basis for the local risk map. The ratio between these two results in a locality parameter, which represents the local specific circumstances that can lead to an accident. CONCLUSIONS This evaluation framework makes it possible to estimate the risks of hazmat transport along a specific route for transport by road, rail, inland navigation and even pipelines.

[1]  Roberto Bubbico,et al.  Risk analysis for road and rail transport of hazardous materials: a simplified approach , 2004 .

[2]  Vedat Verter,et al.  A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials , 2012 .

[3]  Erhan Erkut,et al.  Transport risk models for hazardous materials: revisited , 2005, Oper. Res. Lett..

[4]  Robert Pitt,et al.  DEVELOPMENT OF A GIS-BASED HAZARDOUS MATERIALS TRANSPORTATION MANAGEMENT SYSTEM; A DEMONSTRATION PROJECT , 2000 .

[5]  Fred L. Mannering,et al.  The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives , 2010 .

[6]  B Fabiano,et al.  A framework for risk assessment and decision-making strategies in dangerous good transportation. , 2002, Journal of hazardous materials.

[7]  B. Y. Karaa,et al.  Accurate calculation of hazardous materials transport risks , 2003 .

[8]  John A. Nelder,et al.  Generalized linear models. 2nd ed. , 1993 .

[9]  S Bonvicini,et al.  Hazardous materials transportation: a risk-analysis-based routing methodology. , 2000, Journal of hazardous materials.

[10]  M Abkowitz,et al.  Developing a risk/cost framework for routing truck movements of hazardous materials. , 1988, Accident; analysis and prevention.

[11]  F F Saccomanno,et al.  ECONOMIC EVALUATION OF ROUTING STRATEGIES FOR HAZARDOUS ROAD SHIPMENTS , 1985 .

[12]  Dirk Lauwers,et al.  De ontwikkeling van een methodiek voor de risicobepaling van transporten van gevaarlijke stoffen: een eerste toepassing voor Vlaanderen , 2009 .

[13]  Linda K. Nozick,et al.  Game theory-based identification of facility use restrictions for the movement of hazardous materials under terrorist threat , 2012 .

[14]  P. McCullagh,et al.  Generalized Linear Models , 1992 .

[15]  Murlidhar Verma A cost and expected consequence approach to planning and managing railroad transportation of hazardous materials , 2009 .

[16]  Vedat Verter,et al.  Hazardous materials transportation , 2011 .

[17]  Mark D. Abkowitz,et al.  TRANSPORTATION HAZARD ANALYSIS IN INTEGRATED GIS ENVIRONMENT , 1993 .

[18]  Linda K. Nozick,et al.  Identifying geographically diverse routes for the transportation of hazardous materials , 2008 .

[19]  Mark D. Abkowitz,et al.  SELECTING CRITERIA FOR DESIGNATING HAZARDOUS MATERIALS HIGHWAY ROUTES , 1992 .

[20]  A. Zuur,et al.  Mixed Effects Models and Extensions in Ecology with R , 2009 .

[21]  Jianjun Zhang,et al.  Using GIS to assess the risks of hazardous materials transport in networks , 2000, Eur. J. Oper. Res..

[22]  Rune Elvik The predictive validity of empirical Bayes estimates of road safety. , 2008, Accident; analysis and prevention.

[23]  Ruey Long Cheu,et al.  GIS and genetic algorithms for HAZMAT route planning with security considerations , 2004, Int. J. Geogr. Inf. Sci..

[24]  Renee M. Clark,et al.  A new approach to hazardous materials transportation risk analysis: decision modeling to identify critical variables. , 2009, Risk analysis : an official publication of the Society for Risk Analysis.