An integrated framework for modeling freight mode and route choice.
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2013-10-01
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NTL Classification:NTL-FREIGHT-FREIGHT ; NTL-PLANNING AND POLICY-Travel Demand
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Abstract:A number of statewide travel demand models have included freight as a separate component in analysis. Unlike ; passenger travel, freight has not gained equivalent attention because of lack of data and difficulties in modeling. In ; the current state of practice the most commonly used data for freight modeling is the Freight Analysis Framework ; (FAF) which is a summarized version of the Commodity Flow Survey. FAF data provides commodity flows between ; zones for seven freight modes. Since a large percentage of goods are carried by trucks, statewide models use FAF ; data to obtain flows between zones. In other words, the distribution of flow contains a fixed share of mode in a given ; analysis year. However, for some types of policy analysis this type of assumption might not hold true. For example, ; the opening of the Panama Canal might change the freight mode choice for certain commodities. ; This research presents a methodology to determine freight mode choice to use in the statewide travel demand ; modeling. By using logistic regression, and commodity-specific From, To, and Within MD models were developed. ; Examples of each model are discussed in the report. Application of the proposed methodology could potentially be ; used in the Maryland Statewide Transportation Model (MSTM) was presented. The research results can be used to ; determine mode choice and to make broad level policy decisions on statewide freight travel.
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Main Document Checksum:urn:sha256:42827e86a66611f653d6b4f2fad64eb743e18432ae00adadb2bdb6129298e7c3