Whether to enter expressway or not? the impact of new variable message sign information

Hongcheng Gan, Xin Ye

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This study develops a random effect panel data logit model that identifies the factors that influence expressway users' decision behavior under a new arterial road variable message sign information service. The new information service provides travel time of both an expressway route and an alternate arterial road route. It is based on the data collected from a stated preference survey of Shanghai drivers. Correlations within repeated choices by the same respondent were addressed. The results show that the random effect model performs well in addressing repeated observations and evidences the existence of common unobserved random factors affecting route choice behaviors of the same respondent. It is shown that drivers' decisions can be significantly influenced by the new information service. Driving experience, travel time saving, and occurrence of expressway accidents serve as positive factors whereas number of traffic lights on the arterial road serves as a negative factor in choosing the arterial road. Private car drivers, employer-provided car drivers, and taxi drivers value number of traffic lights in a different way. Female drivers are more sensitive to expressway delays. Drivers with rich driving experience and female drivers are more sensitive to number of traffic lights.

Original languageEnglish (US)
Pages (from-to)267-278
Number of pages12
JournalJournal of Advanced Transportation
Volume49
Issue number2
DOIs
StatePublished - Mar 1 2015
Externally publishedYes

Keywords

  • arterial road
  • expressway
  • panel data model
  • random effect
  • route choice
  • stated preference
  • travel time
  • variable message signs

ASJC Scopus subject areas

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management

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