A time-dependent freight tour synthesis model
Artikel i vetenskaplig tidskrift, 2015

This paper introduces a model of urban freight demand that seeks to estimate tour flows from secondary data sources e.g., traffic counts, to bypass the need for expensive surveys. The model discussed in this paper, referred as Freight Tour Synthesis (FTS), enhances current techniques by incorporating the time-dependent tour-based behavior of freight vehicles, and the decision maker’s (e.g., metropolitan planning agency planner) preferences for different sources of information. The model, based on entropy maximization theory, estimates the most likely set of tour flows, given a set of trip generation estimates, a set of traffic counts per time interval, and total freight transportation cost in the network. The type of inputs used allows the assessment of changes in infrastructure, policy and land use. The ability of the model to replicate actual values is assessed using the Denver Region (CO) as a case study.

Freight demand model

multi-attribute value function

OD synthesis

urban freight data.

freight tours

urban freight

Författare

Ivan Sanchez-Diaz

Chalmers, Teknikens ekonomi och organisation, Logistik och transport

José Holguín-Veras

Rensselaer Polytechnic Institute

Xuegang (Jeff) Ban

Rensselaer Polytechnic Institute

Transportation Research Part B: Methodological

0191-2615 (ISSN)

Vol. 78 144-168

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Transportteknik och logistik

Styrkeområden

Transport

DOI

10.1016/j.trb.2015.04.007