the acquisition of long-distance freight data

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The Acquisition of Long-Distance Freight Data Workshop B6: ISCTSC 2008 Annecy, France Bonjour! Guten morgen! Good morning! Buenos dias!

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The Acquisition of Long-Distance Freight Data. Workshop B6: ISCTSC 2008 Annecy, France. Bonjour! Guten morgen! Good morning! Buenos dias!. Participants. Michel Houée (Contributed paper) Pedro José Martínez-Pérez (Contributed paper) Alan McKinnon (Resource paper) - PowerPoint PPT Presentation

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Page 1: The Acquisition of Long-Distance Freight Data

The Acquisition of Long-Distance Freight Data Workshop B6: ISCTSC 2008Annecy, France

Bonjour! Guten morgen! Good morning!Buenos dias!

Page 2: The Acquisition of Long-Distance Freight Data

ParticipantsMichel Houée (Contributed paper)Pedro José Martínez-Pérez (Contributed paper)Alan McKinnon (Resource paper)Jacques Leonardi (Resource paper)Christophe Rizet (Discussant)Bastian Chlond & Peter Ottmann (Univ Karlsruhe)Julius Menge (German Aerospace Ctr, Berlin)Danièle Patier & Mariame Mbacke (LET & INRETS)Arnim Meyburg (Cornell Univ., USA)Mike Browne (rapporteur – Univ Westminster)Kara Kockelman (chair – Univ. of Texas)

Page 3: The Acquisition of Long-Distance Freight Data

What is the Question?Traffic loads & managementInfrastructure needsEconomic interactions of firmsVehicle utilization (driver & fuel use)Logistics improvementsSafety concernsResponse to potential policies & new technologies

Page 4: The Acquisition of Long-Distance Freight Data

Key ChallengesTying purpose to instrument & frameVariety: Questions & users, Commodities & modes, Industries & vehicles, Locations & routes …Missing information: Values & volumes moved, Shipper costs & prices by mode, International & intermodal ties, Public vehicles, Fuel consumption …Speed of change: Implications for data acquisition, assembly & distributionMaintaining collection over long runLinking survey results effectively across micro and macro levelAnticipating the impact of land use patterns & other explanatory variables (on trade patterns)

Page 5: The Acquisition of Long-Distance Freight Data

Next StepsComplementary Data Sets Needed: Establishment-based & non-truck modes (EU), carrier-based (US), roadside interviews, policy driven, …

More Global View: Up & down the supply chains (expanding the frame)

Sharing Instruments & Harmonizing Data Sets (via terminology & frame definitions, greater collaboration across agencies & countries)

Page 6: The Acquisition of Long-Distance Freight Data

Next StepsComparison of Establishment & Vehicle-based Survey Designs

Mechanisms for Protecting Confidentiality while Releasing Useful Results & Products (+ can exploit emerging technologies)

Demonstrate Value & Use of Data Collected (via model development, tying surveys); Educate our Students & Stakeholders

Page 7: The Acquisition of Long-Distance Freight Data

Next StepsNo single approachGlobal view – appropriate focusInstruments (sharing); data sets (harmonizing) Establishment & vehicle-based survey designs: more comparisons neededProtect confidentiality but exploit technologyEngage attention, demonstrate value and educate stakeholders

Page 8: The Acquisition of Long-Distance Freight Data

Next Steps

Global view – appropriate focus

Establishment & vehicle-based survey designs: more comparisons needed

No single approach

Engage attention, demonstrate value and educate stakeholders

Protect confidentiality but exploit technology

Instruments (sharing); data sets (harmonizing)

Page 9: The Acquisition of Long-Distance Freight Data

L’équipe GENEPIvous ditmerci!