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Nelson, John D.

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Cottrill, Caitlin D - 3 publications, 2 shared
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Markovic, Milan - 9 publications, 1 shared
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article

Understanding factors influencing public transport passengers’ pre-travel information-seeking behaviour

  • Markovic, Milan
  • Nelson, John D.
  • Edwards, Peter
  • Corsar, David
  • Yeboah, Godwin
  • Cottrill, Caitlin D
Abstract

This paper investigates factors influencing public transport passengers’ pre-travel information-seeking behaviours in a British urban environment. Public transport traveller surveys were conducted to better understand the journey stages at which information was sought and the information sources used. A multivariate explanatory model of pre-travel information-seeking behaviour was developed using binomial logistic regression. Explanatory factors considered include socio-demographics, trip context, frequency of public transport use, information sources used, and smartphone ownership and use. Findings suggest that travel behaviour (5 + trips weekly, and < 1 trip weekly), socio-demographics (unemployment/unknown employment), trip context (journey planning stages, mode of transport), and preferred information sources (Internet site, word-of-mouth, visits to travel shop/centre/library) were significant predictors of pre-travel information-seeking behaviours among surveyed travellers. While the final model found that bus users are significantly associated with the use of Internet sites as a source of pre-travel information, rail users rely significantly on a multiplicity of sources comprising Internet sites, word-of-mouth, and visits to a travel shop/centre/library. The final model suggests that metro (light rail) users tend not to seek pre-travel information. The odds of seeking pre-travel public transport information are 2.512 times greater for respondents who reported < 1 trip per week as opposed to those who reported 5 + trips per week. These findings are relevant for passenger information strategies deployed by operators and authorities and can be used to caution against a “one size fits all” strategy for travel information service provision. Implications and suggestions for future research are discussed.

Topics
  • ownership
  • public transit
  • transit rider
  • vehicle occupant
  • behavior
  • traffic behavior
  • travel
  • bus
  • smartphone
  • survey
  • logistic regression analysis
  • shopping facility
  • demographics
  • library
  • information service
  • unemployment
  • planning stage