Estimating freight origin destination matrices using combined commodity flow survey and roadside survey data /Wirach HirunWirach Hirun
Containerized freight imports into the US are growing at an average of 10% per year. This traffic is concentrated at a small number of US seaports. It is therefore important to have an accurate understanding of the flow of containers from their origin country through these seaports to their ...
Fosgerau and Engelson (2011) considered the value of travel time variability under scheduling preferences that were defined in terms of linearly time-varying utility rates associated with being at the origin and at the destination. They have shown that a measure related to travel time variability ...
Origin-destination MatrixA method, based on the fuzzy programming theory, was outlined to estimate the regional single-mode highway freight origin-destination matrix. Due to the problem nature, data from multi-source were used instead of a large-scale field OD survey. A bi-objective non-linear...
Jones, "Estimating an origin-destination table for US exports of waterborne containerised freight," Maritime Economics & Logistics, vol. 11, no. 2, pp. 137-155, 2009.Levine, B., Nozick, L., and Jones, D., Estimating an Origin- Destination Table for US Exports of Waterborne Container...
Estimating an origin-destination table for U.S. Imports of waterborne containerised freight. Transportation Research Part E, 45 (4), 611-626.Levine, B, L. Nozick and D. Jones. "Estimating an Origin-Destination Table for US Exports of Waterborne Containerised Freight." Maritime Economics & ...
The cognitive burden faced by the respondents was very high. Other application areas for SP studies include an assessment of the value of a statistical life in the context of road safety [19], travel time reliability in freight transportation [20], valuing noise level reductions in urban areas...
To ensure comparability, all the data of value of travel time savings were transformed into US dollars accounting for the currency rates and inflation factors as of 2021. A summary of the dataset is shown in Table 1. Table 1. Summary of the dataset. 2.2. Test of Heterogeneity In this ...