Analysis on context change and repetitive travel mode choices based on a dynamic, computational model

Huanmei Qin, Jianqiang Gao, Yao-jan Wu, Hai Yan

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Research on individual decision-making process is fundamentally critical to explore the macroscopic behavioral rules for travel mode choice. In this paper, a behavioral experiment under different contexts was designed by a process-tracing method to obtain data regarding repetitive travel mode choices. Based on the Decision Field Theory, a stochastic, dynamic model was proved to be reliable and used to reproduce and analyze the repeated decision-making process. It is concluded that in a stable context, travelers would gradually establish and use some new decision rules to make a travel mode choice during the repetitive decision-making process. When travelers have developed a travel mode habit, environmental cues become the key factors that trigger travelers to make travel mode choices. Context change and traffic policies can make travelers consider, weigh and compare the relevant information again and interrupt their previous habitual choice behavior, enhancing the use of Park and Ride. Meanwhile, travelers with a faster learning speed and better memory develop a travel mode habit in a stable context and change the existing car use habit in a new context more quickly. These results would help to enrich the existing theoretical study of travel behavior and provide an interesting starting point for the development of practical strategies to promote the use of public transport instead of a private car. Traffic management techniques such as congestion pricing, along with behavior intervention and guidance strategies for different groups can strengthen this effect.

Original languageEnglish (US)
Pages (from-to)155-164
Number of pages10
JournalTransport Policy
Volume79
DOIs
StatePublished - Jul 1 2019

Fingerprint

Decision making
travel
Railroad cars
decision-making process
habits
decision making
Dynamic models
park and ride
traffic
car use
Data storage equipment
field theory
environmental cue
traffic management
decision theory
travel behavior
public transport
congestion
theoretical study
analysis

Keywords

  • Decision field theory
  • Decision-making process
  • Repetitive travel mode choices
  • Travel context

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Transportation

Cite this

Analysis on context change and repetitive travel mode choices based on a dynamic, computational model. / Qin, Huanmei; Gao, Jianqiang; Wu, Yao-jan; Yan, Hai.

In: Transport Policy, Vol. 79, 01.07.2019, p. 155-164.

Research output: Contribution to journalArticle

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