skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Compendium of Tour-Based Freight Modeling Literature

Abstract

Transportation officials, metropolitan planning organizations (MPOs), and companies of varying size can all benefit from freight movement data. Obtaining freight movement data and route choice information is crucial to planning, improving current and future transportation infrastructure, locating businesses, improving efforts to streamline goods movement, especially urban goods movement, and reducing energy usage within freight transportation. Obtaining data on freight movements can also help in better planning transportation infrastructure to improve safety. Also, with increasing demands and changing consumption habits, mobility being offered as a service, and with new technologies such as 3-D printing, the landscape of freight planning is changing, as businesses compete to meet the needs of a growing customer base, while transportation planners aim at meeting these needs by maintaining and updating the transportation infrastructure.For decades, transportation research has focused on passenger travel behavior. Much of this research has examined route decision choice and, more recently, trip chaining of personal vehicles, both individually and collectively. Discrete choice modeling has commonly been used to better understand passenger movement and predict route decisions based on geographic and demographic data from Census data and personal surveys, and micro-simulation has been used to model estimated movements through the transportation network. However, theremore » is a growing interest in examining freight movements, and although previous research has been done to look at freight route choice regarding individual trips, there is increasing interest in freight tours. This paper is an overview of the current tour-based freight modeling methodology found in the literature. Background information on tour-based freight modeling is provided, as well as common modeling methods, data sources, and findings. Consideration is given to new technologies and safety considerations excluded from the current literature. Suggestions are provided for future tour-based freight modeling studies.« less

Authors:
ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1496012
Report Number(s):
ORNL/SPR-2017/519
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Moore, Amy. Compendium of Tour-Based Freight Modeling Literature. United States: N. p., 2017. Web. doi:10.2172/1496012.
Moore, Amy. Compendium of Tour-Based Freight Modeling Literature. United States. doi:10.2172/1496012.
Moore, Amy. Fri . "Compendium of Tour-Based Freight Modeling Literature". United States. doi:10.2172/1496012. https://www.osti.gov/servlets/purl/1496012.
@article{osti_1496012,
title = {Compendium of Tour-Based Freight Modeling Literature},
author = {Moore, Amy},
abstractNote = {Transportation officials, metropolitan planning organizations (MPOs), and companies of varying size can all benefit from freight movement data. Obtaining freight movement data and route choice information is crucial to planning, improving current and future transportation infrastructure, locating businesses, improving efforts to streamline goods movement, especially urban goods movement, and reducing energy usage within freight transportation. Obtaining data on freight movements can also help in better planning transportation infrastructure to improve safety. Also, with increasing demands and changing consumption habits, mobility being offered as a service, and with new technologies such as 3-D printing, the landscape of freight planning is changing, as businesses compete to meet the needs of a growing customer base, while transportation planners aim at meeting these needs by maintaining and updating the transportation infrastructure.For decades, transportation research has focused on passenger travel behavior. Much of this research has examined route decision choice and, more recently, trip chaining of personal vehicles, both individually and collectively. Discrete choice modeling has commonly been used to better understand passenger movement and predict route decisions based on geographic and demographic data from Census data and personal surveys, and micro-simulation has been used to model estimated movements through the transportation network. However, there is a growing interest in examining freight movements, and although previous research has been done to look at freight route choice regarding individual trips, there is increasing interest in freight tours. This paper is an overview of the current tour-based freight modeling methodology found in the literature. Background information on tour-based freight modeling is provided, as well as common modeling methods, data sources, and findings. Consideration is given to new technologies and safety considerations excluded from the current literature. Suggestions are provided for future tour-based freight modeling studies.},
doi = {10.2172/1496012},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {9}
}

Technical Report:

Save / Share: