A Disaggregate Urban Shipment Size/Vehicle-Type Choice Model

The public sector is looking to increase precision in its freight models to better evaluate public investments, policy and regulation in the transport sector. Recently, freight models have been developed that use agent-based simulation incorporating discrete choice models that get closer to the behavior behind freight decisions. This paper describes the development of a disaggregate shipment size/vehicle-type choice model based on data from shipper-based survey of goods and services movements conducted in the Region of Peel, located in the Greater Toronto Area, in 2006. The model presented is a discrete/continuous model with shipment size as the continuous variable and vehicle-type choice as the discrete variable. The discrete model shows that small vehicles are more likely for shipments with higher value per unit weight, time sensitive shipments, and services (as opposed to good shipments) and larger vehicles for long distance shipments. The continuous model shows that shipment size (in kg) decreases with the increase of density values of the commodities ($/kg) and expected fuel operating cost of the vehicle-type chose ($/km) and with the decrease of distance (in km).

Language

  • English

Media Info

  • Media Type: DVD
  • Features: Figures; References; Tables;
  • Pagination: 18 p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01158430
  • Record Type: Publication
  • Report/Paper Numbers: 10-3878
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:58AM