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Multimodal Study on Freight Transportation in Québec

Multimodal Study on Freight Transportation in Québec. Transportation Border Working Group Spring 2014 Meeting Buffalo, NY April 8, 2014. Claude Sirois. Presentation Overview. Objective, structure and scope of the study Overview of the database Profile of freight transportation in Québec

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Multimodal Study on Freight Transportation in Québec

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  1. Multimodal Study onFreight Transportation in Québec Transportation Border Working Group Spring 2014 Meeting Buffalo, NY April 8, 2014 Claude Sirois

  2. Presentation Overview • Objective, structure and scope of the study • Overview of the database • Profile of freight transportation in Québec • Assessment of intermodality potential, methodology and observations • Conclusion

  3. Objective of the study Support Sustainable Mobility Regional Plans Characterize current and future (2026) supply and demand for freight transportation for all modes Develop and apply a methodology to assess Intermodality Potential Three scales of analysis Québec Major transportation corridors (11) Regions (16) 3

  4. Structure of the study Block 1 Block 2 Filling the gaps Exploit existing data available in studies, DB, etc. Targeted interviews Long/short (MTL only) distance trucking Road performance Carriers Network and equipment managers Shippers MTQ staff Marine Air Rail Integration of Block 2 Into Block 1 Block 3 Forecast 2026 Assessment of intermodality potential Current and future (2026) multimodal transportation profile and assessment of Intermodality potential Québec 11 corridors 16 regions 4

  5. Scope and Limitations of the Study Aggregation of data by region MTQ provincial network Interregional freight movements Trucking : Interurban/interregional movements (+ 80 km) Different data sources and periods (2006-2010) Confidentiality of some information Rail/Air companies Shippers 5

  6. Overview of the database Road Performance Tabular Data GIS Road data (MTQ/CG studies) Forecast 2026 (O/D Survey + other) Physical characteristics Capacity/Demand Network Performance (index) Phys. Char. AADT, AADTT, CDI, TW-CDI +/- 2008 / Forecast 2026 EXCEL SOURCES TRANSCAD Trucking NRS 99 / 06-07 (MTQ/TC) Forecast 2026 (IHS GI/MTO) 290 000 truck movements Type of Commodities Weight/Volume Many other informations Truck/Tonnage Flows SOURCES TRANSCAD POWER PIVOT O/D truck movements (Desire Lines) Rail Rail Companies (interviews) CG Studies Forecast 2026 (IHS GI) Mining Dev. Forecast (MRN) Physical characteristics Current/future tonnages Commodities (incomplete) Network Performance Physical characteristics Demand (flows) Bottlenecks/issues on the network SOURCES TRANSCAD EXCEL

  7. Overview of the database Marine Tabular Data Shipping in Canada 2000-2011 (StatCan) Other Marine Data (TC) Forecast (IHS GI) Mining Dev. Forecast (MRN) O/D Marine Database - Tonnages - Commodities - Ports, country, regions Tonnages / Port Flows between ports TRANSCAD POWER PIVOT SOURCES Air Aircraft Movements (TC) Air Link Capacities (CFG) Demand (RTG) Forecast (TC : 2007) # of Aircraft Movements Capacity/Link Capacity (Flows) Airplane Mov. / Airport SOURCES EXCEL TRANSCAD International Airports only GIS

  8. Profile of Québec– Geographic Scope • 11 800 km of roads • 7 border crossings • 4 in QC, 3 in ON • 6 200 km of railways • 6 intermodal terminals • 21 railways • 31 ports • 42 airports 8

  9. Profile of Québec – Tonnages Tonnages with an origin or a destination in Québec Ton-kilometre on Québec’s road and rail networks Marine Rail Road *Road mode doesn’t include truck movements under 80 km Air - 274 000 tonnes (0,1%) 9

  10. Profile of Québec – Modal Flows 10

  11. Profile of Québec – Modal Flows in corridors 11

  12. Profile of Québec – Truck flows through border 12

  13. Profile of Québec – Desire Lines 13 Truck movements during a week in 2006-2007 between Québec and New York

  14. Profile of Québec – Empty trucks • % of empty trucks according to the distance 14 Truck movements during a week in 2006-2007 between Québec and Maine

  15. Profile of Québec – Air links capacity 15

  16. Profile of Québec – Supply Chains • Significant presence of supply chains based on natural resources / transformed products from natural resources • Commodity supply chains usually favor 1 or 2 modes Marine Rail Road 50 % 40 % 40 % 49 % 66 % 61 % 74 % Minerals Manufactured and Miscellaneous goods Agriculture and Food products Fuel and Basic chemicals Pulp and Paper products 16

  17. Profile of Québec – Modal shares Rail Road • Modal shares at the Québec / U.S. States Border • Québec / NY+VT+ME globally : Rail 47 % / Road 53 % 43 % 20 % 57 % 44 % 56 % 80 % Québec – New York Québec – Vermont Québec – Maine 17

  18. Profile of Québec – Forecast 2026 Development of mining projects in Northern Québec has an important impact on rail and marine forecasts for 2026 Annual growth rates : Trucking : Number of movements 2006 - 2026 Rail : Ton-kilometre 2010 - 2026 Marine : Handled tonnages 2010 - 2026 Air : Handled tonnages at three international airports 2007 - 2026 Trucking Rail Marine Air Annual growth rates 18

  19. Profile of Québec – Major Constraints • Road congestion on the Island of Montréal • Utilization rates on rail lines (passengers vs freight trains) • Handling capacity for containers at the Port of Montréal • Increase of air cargo 19

  20. Intermodality Potential – Methodology National Roadside Survey 2006-2007 Filtering data according to movement features Focus on movements which have Québec as an origin or a destination Detailed analysis of flows with an important potential 20

  21. Intermodality Potential – Analysis Aggregated flows by region with an Intermodality potential • 17 flows = 17 440 truck movements which represent 6% of all moves (291 200) and 26% of total km travelled • No flows between 2 Québec regions • Montréal, Montérégie and Québec City represent 75% of the movements with intermodality potential 21

  22. Intermodality Potential – Observations • Detailed qualitative analysis of the 17 flows (step 5) : • Precise O/Ds, commodities, transportation equipments, etc. • Identification of many constraints to intermodality : • Multiple precise O/Ds • Consolidation of goods supplied by competitors • Short distances • Irregular flows • Higher delays/cost compared to trucking • Specialized equipment non-available 22

  23. Intermodality Potential – Observations Additional observations… RAIL :Best opportunities are located where rail intermodal options already exist (ex. between Montréal and U.S.). Non-existence of intermodal equipments doesn’t seem to be a frequent constraint MARINE :No line services, insufficient volumes, closure of the St. Lawrence Seaway during 3 months (Ontario and Midwest) and longer marine distance (U.S. East Coast) TRUCKING :Choice of trucking often justified by its lower cost, more appropriate logistics, flexibility (last minute delivery, JIT, no need for consolidation) 23

  24. Intermodality Potential – Observations • Global incentives might increase intermodality, however, only a low proportion of movements have the features associated with those types of supply chains • Using a mode or another is an individual decision. The result of this analysis doesn’t mean there’s no opportunity to shift from the road mode to another one, even between 2 regions in Québec 24

  25. Thank you for your attention! Questions or comments? Claude Sirois claude.sirois@mtq.gouv.qc.ca (418) 643-1772 www.mtq.gouv.qc.ca 25

  26. Additional slides 26

  27. Overview of the database Data Sources Tabular information Multimodal Mapping Mapping Road Performance Excel spreadsheet Mapping (flows) Analytical tool (Power Pivot) Trucking Mapping Excel spreadsheet Rail Mapping (flows) Analytical tool (Power Pivot) Marine Mapping Excel spreadsheet Air

  28. Overview of the database – Road Performance Current data • +/- 2008 • Updated yearly Forecast • 2026 • Update TBD

  29. Overview of the database - Trucking Current data • 2006-2007 • Update TBD Forecast • 2016, 2026 • Update TBD

  30. Overview of the database - Rail Current data • 2010 • Update TBD Forecast • 2026 • Update TBD

  31. Overview of the database - Marine Current data • 2000 - 2011 • Updated yearly Forecast • 2026 (base year 2010) • Update TBD

  32. Overview of the database - Air Aircraft Movements • 2006 - 2010 • Yearly update possible Cargo Capacity • Week of 09/2011 • Ponctual update possible Airport Data • Current : 2007 • TC ceased to do the forecast

  33. Profile of Québec – Desire Lines 33 Truck movements during a week in 2006-2007 between Québec and Vermont

  34. Profile of Québec – Desire Lines 34 Truck movements during a week in 2006-2007 between Québec and Maine

  35. Profile of Québec – Desire Lines 35 Truck movements during a week in 2006-2007 between Québec and Michigan

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