Spatial disaggregation of California freight demand for regional planning models

In recent years the required fidelity of statewide freight forecasting models in the United States has grown significantly, with several models having analysis zones smaller than counties, those being the most disaggregate spatial levels for which public freight data sources are typically available in the USA. As freight models become more disaggregate, public agencies have begun to show interest in the seamless integration between this new generation of freight models with the typically more spatially disaggregate personal transportation models. However, these two types of models are still often constructed with very disparate aggregation levels, with personal transportation models having zones that are between 30 and 60 times more detailed than statewide freight models. This inconsistency is exemplified in California by the recently developed California Statewide Freight Forecasting Model (CSFFM) developed by the University of California, Irvine Institute of Transportation Studies (ITS-Irvine) and the equally novel California Statewide Travel Demand Model (CSTDM) developed by Cambridge Systematics Inc., both commissioned by the California Department of Transportation (Caltrans). The matrix disaggregation algorithm presented in this paper builds on the foundation of these models by proposing a matrix disaggregation procedure of the CSFFM that presents the following set of important characteristics: 1. Maintains consistency with CSFFM: matrices match when aggregated to CSFFM level; 2. Fast development (i.e. did involve complex and time consuming model estimation) ; and 3. Simple requirements: Requires only the computation of a skim matrix on CSTDM’s network. The method present on this paper can be described as a factoring method, although largely more complex than the methods currently used for disaggregating freight demand in metropolitan model developments.

• Record URL:
  http://arrbknowledge.com
• Authors:
  • Camargo, P V
  • Tok, A Y
  • Ritchie, S G
• Conference:
  • ARRB Conference, 27th, 2016, Melbourne, Victoria, Australia
• Publication Date: 2016-11

Language

• English

Media Info

• Pagination: 14p
• Monograph Title: Linking people, places and opportunities: 27th ARRB Conference, 16-18 November 2016, Melbourne, Victoria

Subject/Index Terms

• TRT Terms: Evaluation; Forecasting; Freight transportation; Mathematical models; Planning; Regional planning; Transportation planning; Travel demand
• Uncontrolled Terms: Freight transport logistics; Policy and planning
• Geographic Terms: California
• ATRI Terms: Evaluation; Forecast; Freight transport; Modelling; Regional planning; Transport planning; Travel demand
• ITRD Terms: 263: Economics of transport; 9020: Evaluation (assessment); 132: Forecast; 1112: Freight transport; 8122: USA
• Subject Areas: Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01622978
• Record Type: Publication
• Source Agency: ARRB
• Files: ITRD, ATRI
• Created Date: Jan 24 2017 12:05PM