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Title: Travel Demand Modeling

Abstract

This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

Authors:
 [1];  [2]
  1. ORNL
  2. Georgia Institute of Technology
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1018575
DOE Contract Number:  
DE-AC05-00OR22725
Resource Type:
Book
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; CARGO; OCCUPANTS; OPTIMIZATION; PROGRAMMING; SIMULATION; TRANSPORTATION SYSTEMS; Passenger and freight travel demand models review

Citation Formats

Southworth, Frank, and Garrow, Dr. Laurie. Travel Demand Modeling. United States: N. p., 2011. Web.
Southworth, Frank, & Garrow, Dr. Laurie. Travel Demand Modeling. United States.
Southworth, Frank, and Garrow, Dr. Laurie. Sat . "Travel Demand Modeling". United States.
@article{osti_1018575,
title = {Travel Demand Modeling},
author = {Southworth, Frank and Garrow, Dr. Laurie},
abstractNote = {This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {1}
}

Book:
Other availability
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