Towards dynamic exposure-based schedule for hazardous material trains

Hazardous materials (hazmat) transport by rail can expose people living and working in the neighborhood of the railway to fatal risks. Despite the similarities with hazmat transport by road, hazmat transport by rail is subject to stricter schedule constraints, involving a well-defined path and a related timetable. While an alternative railway routing is not always available, it would be possible to define timetables in order to decrease risk. This approach requires the information about the dynamics of the population in the neighborhood of the railway. In this paper, an approach is proposed to show how variations of the timetable can sensibly decrease the average and maximum exposure. The methodology is proposed on an Italian rail section subject to different anthropogenic activities.

[1]  Mohd Rapik Saat,et al.  Environmental risk analysis of hazardous material rail transportation. , 2014, Journal of hazardous materials.

[2]  Xiang Liu,et al.  Integrated risk reduction framework to improve railway hazardous materials transportation safety. , 2013, Journal of hazardous materials.

[3]  Jan Peters-Anders,et al.  Mobile Phone Data as Source to Discover Spatial Activity and Motion Patterns , 2012 .

[4]  Vedat Verter,et al.  Accurate calculation of hazardous materials transport risks , 2003, Oper. Res. Lett..

[5]  Ravindra K. Ahuja,et al.  Network Models in Railroad Planning and Scheduling , 2005 .

[6]  Chiara Bersani,et al.  Real-time risk definition in the transport of dangerous goods by road , 2012, 2012 7th International Conference on System of Systems Engineering (SoSE).

[7]  Erhan Erkut,et al.  Catastrophe Avoidance Models for Hazardous Materials Route Planning , 2000, Transp. Sci..

[8]  Adrian V. Gheorghe,et al.  Quantitative risk assessment of hazardous materials transport systems , 1996 .

[9]  Erhan Erkut,et al.  The cost and risk impacts of rerouting railroad shipments of hazardous materials. , 2007, Accident; analysis and prevention.

[10]  Paolo Toth,et al.  Scheduling extra freight trains on railway networks , 2010 .

[11]  J. Mennis Generating Surface Models of Population Using Dasymetric Mapping , 2003, The Professional Geographer.

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

[13]  Ralf Borndörfer,et al.  Solving Railway Track Allocation Problems , 2007, OR.

[14]  Lee D. Han,et al.  Routing Hazardous Materials around the District of Columbia Area , 2009 .

[15]  Jerry T. Mitchell,et al.  Revealing the Vulnerability of People and Places: A Case Study of Georgetown County, South Carolina , 2000 .

[16]  Valerio Cozzani,et al.  The description of population vulnerability in quantitative risk analysis. , 2012, Risk analysis : an official publication of the Society for Risk Analysis.

[17]  Johanna Törnquist,et al.  Computer-based decision support for railway traffic scheduling and dispatching: A review of models and algorithms , 2005, ATMOS.

[18]  Cynthia A. Brewer,et al.  Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation , 2001 .

[19]  Rajan Batta,et al.  Generalized route planning model for hazardous material transportation with VaR and equity considerations , 2014, Comput. Oper. Res..

[20]  Zongyi He,et al.  Dasymetric estimation of Census population density: A geostatistical approach , 2009, 2009 17th International Conference on Geoinformatics.

[21]  E Planas,et al.  A survey of accidents occurring during the transport of hazardous substances by road and rail. , 2006, Journal of hazardous materials.

[22]  Valerio Cozzani,et al.  Hazmat transport: a methodological framework for the risk analysis of marshalling yards. , 2007, Journal of hazardous materials.

[23]  Mohd Rapik Saat,et al.  Safety Effectiveness of Integrated Risk Reduction Strategies for Rail Transport of Hazardous Materials , 2013 .