Hierarchical ordering of nests in a joint mode and destination choice model

This paper seeks to explore the relationship between mode and destination choice in an integrated nested choice model. A fundamental argument can be made that in certain circumstances, the ordering of choices should be reversed from the usual sequence of destination choice preceding mode choice. Thi...

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Bibliographic Details
Published inTransportation Vol. 37; no. 4; pp. 677 - 688
Main Authors Newman, Jeffrey P., Bernardin, Vincent L.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Boston Springer US 01.07.2010
Springer
Springer Nature B.V
SeriesTransportation
Subjects
Applied sciences
Combinatorics
Decision making
Decision models
Demand
Demand models
Destination choice
Discrete choice models
Economic Geography
Economics
Economics and Finance
Elasticity
Elasticity of demand
Engineering Economics
Exact sciences and technology
Geographic location
Ground, air and sea transportation, marine construction
Hierarchical nesting
Hierarchies
Hierarchy
Innovation/Technology Management
Integrated models
Logistics
Marketing
Mathematical models
Mode choice
Order disorder
Organization
Parameter estimation
Public transport
Public transportation
Regional/Spatial Science
Riders
Studies
Tennessee
Transport economics
Transportation
Travel
U.S.A
Urban areas
United States > US
Demand
Integrated models
Discrete choice models
Mode choice
Elasticity
Hierarchical nesting
Destination choice
Congress
Transportation
Transport demand
Modeling
Modal choice
Travel
Discrete choice
Site selection
Hierarchical system
Localization
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Summary:This paper seeks to explore the relationship between mode and destination choice in an integrated nested choice model. A fundamental argument can be made that in certain circumstances, the ordering of choices should be reversed from the usual sequence of destination choice preceding mode choice. This results in a travel demand model where travelers are more likely to change destinations than to change transportation modes. For small and medium size urban areas, particularly in the United States, with less well developed public transit systems that draw few choice riders, this assumption makes much more sense than the traditional modeling assumptions. The models used in the new travel modeling system developed for Knoxville, Tennessee utilize this reversed ordering, with generally good results, which required no external tinkering in the logsum parameters.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0049-4488
1572-9435
DOI:10.1007/s11116-010-9277-x