An analytics approach to dis-aggregate national freight data to estimate hazmat traffic on rail-links and at rail-yards in Canada

Abstract Numerous research initiatives have been undertaken in the risk assessment and risk management of rail hazardous materials (hazmat) transportation. However, the true benefits could not be demonstrated because of the absence of rail-link and rail-yard level information about hazmat volume. We propose an analytics based methodology to estimate yard and link level data, which is applied to the railroad network in Canada. The proposed methodology was used to solve numerous problem instances for the three chosen classes of hazmat responsible for moving over 80% of hazmat shipments in Canada. The exercise enabled us to identify the hot-spots in the railroad network, to examine the changes in the volume-based ranking of various rail-yards and rail-links as a result of geographical shifts in hazmat supplies over the next decade, and to investigate the impact of new pipeline projects on rail crude oil shipments.

[1]  Michael L. Madigan.  Emergency response guidebook , 2017 .

[2]  GERARD DE JONG,et al.  National and International Freight Transport Models: An Overview and Ideas for Future Development , 2004 .

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

[4]  Changhyun Kwon,et al.  Value-at-Risk and Conditional Value-at-Risk Minimization for Hazardous Materials Routing , 2013 .

[5]  T. Crainic.  Long-Haul Freight Transportation , 2003 .

[6]  Steven C. Wheelwright,et al.  Forecasting methods and applications. , 1979 .

[7]  Wenhong Luo,et al.  The Analytics Movement: Implications for Operations Research , 2010, Interfaces.

[8]  Daniel Sullivan,et al.  Google Earth Pro , 2009 .

[9]  Manish Verma.  Railroad transportation of dangerous goods: A conditional exposure approach to minimize transport risk , 2011 .

[10]  Jeanne G. Harris,et al.  Competing on Analytics: The New Science of Winning , 2007 .

[11]  Manish Verma,et al.  A Value-at-Risk (VAR) approach to routing rail hazmat shipments , 2017 .

[12]  Theodore S. Glickman.  REROUTING RAILROAD SHIPMENTS OF HAZARDOUS MATERIALS TO AVOID POPULATED AREAS , 1983 .

[13]  Rajan Batta,et al.  Optimal Obnoxious Paths on a Network: Transportation of Hazardous Materials , 1988, Oper. Res..

[14]  Vedat Verter,et al.  A Tactical Planning Model for Railroad Transportation of Dangerous Goods , 2011, Transp. Sci..

[15]  Clifford Winston,et al.  The demand for freight transportation: models and applications , 1983 .

[16]  Vedat Verter,et al.  Railroad Transportation of Hazardous Materials: Models for Risk Assessment and Management , 2013 .

[17]  Vedat Verter,et al.  Railroad transportation of dangerous goods: Population exposure to airborne toxins , 2007, Comput. Oper. Res..

[18]  Jared L. Cohon,et al.  Simultaneous Siting and Routing in the Disposal of Hazardous Wastes , 1991, Transp. Sci..

[19]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[20]  Frank F Saccomanno,et al.  Effective placement of dangerous goods cars in rail yard marshaling operation , 2010 .

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

[22]  Roland Chrobok,et al.  Different methods of traffic forecast based on real data , 2004, Eur. J. Oper. Res..

[23]  A. D. Owen,et al.  The characteristics of railway passenger demand. An econometric investigation. , 1987 .

[24]  Michael Florian,et al.  A Model for the Strategic Planning of National Freight Transportation by Rail , 1990, Transp. Sci..

[25]  Didier Garriguet.  Beverage consumption of children and teens. , 2008, Health reports.

[26]  Didier Garriguet,et al.  Beverage consumption of Canadian adults. , 2008, Health reports.

[27]  Christopher P L Barkan,et al.  Improving the design of higher-capacity railway tank cars for hazardous materials transport: optimizing the trade-off between weight and safety. , 2008, Journal of hazardous materials.

[28]  Manish Verma,et al.  Conditional value-at-risk (CVaR) methodology to optimal train configuration and routing of rail hazmat shipments , 2018 .

[29]  Amelia C. Regan,et al.  State-of-the art of freight forecast modeling: lessons learned and the road ahead , 2010 .