Paper Info
Title
Modeling the Effects of Population Density on Prospect Theory-Based Travel Mode-Choice Equilibrium.
Abstract
In conventional transportation planning models, it was always assumed that the population density is given and fixed in the study areas. Therefore, the effects of population density on travel choice have not been explicitly incorporated into these existing models for long-term transportation planning. Meanwhile, travel choice models in previous studies are usually developed by using discrete choice theories or user equilibrium principle. Thus, many significant characteristics of travelers' behaviors, such as risk preference and learning process over time, cannot be considered in these conventional models. This article proposes a convex prospect theory-based model to investigate the effects of population density on the travelers' mode-choice behavior under an advanced transportation information system (ATIS) in a multimodal transportation corridor. It is shown that population density is closely co-related to the modal split results and dependent on the performance of the railway mode in the study corridor. The park-and-ride mode may not be suitable for areas with high population density. This article also investigates the travelers' reference points on the generalized travel costs by modes. A numerical example is given to illustrate the properties of the proposed model together with some insightful findings.
Year
DOI
Venue
2014
10.1080/15472450.2013.806745
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
Keywords
Field
DocType
Corridor,Travel Mode Choice,Prospect Theory,Population Density,ATIS,Multimodal
Travel behavior,Information system,Simulation,Population density,Transport engineering,Mode choice,Prospect theory,Discrete choice,Engineering,Transportation planning,Modal
Journal
Volume
Issue
ISSN
18.0
SP4.0
1547-2450
Citations 
PageRank 
References 
1
0.35
2
Authors
2
Name
Order
Citations
PageRank
Ding Liu130.75
William H. K. Lam231.64