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The Acquisition of Long-Distance Freight Data

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)

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The Acquisition of Long-Distance Freight Data

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

  2. Participants • Michel 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)

  3. What is the Question? • Traffic loads & management • Infrastructure needs • Economic interactions of firms • Vehicle utilization (driver & fuel use) • Logistics improvements • Safety concerns • Response to potential policies & new technologies

  4. Key Challenges • Tying purpose to instrument & frame • Variety: 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 & distribution • Maintaining collection over long run • Linking survey results effectively across micro and macro level • Anticipating the impact of land use patterns & other explanatory variables (on trade patterns)

  5. Next Steps • Complementary 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)

  6. Next Steps • Comparison 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

  7. Next Steps • No single approach • Global view – appropriate focus • Instruments (sharing); data sets (harmonizing) • Establishment & vehicle-based survey designs: more comparisons needed • Protect confidentiality but exploit technology • Engage attention, demonstrate value and educate stakeholders

  8. 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)

  9. L’équipe GENEPI vous dit merci!

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