Exploring transport perceptions across urban areas using free associations

Dennis van Soest*, Miles R. Tight, Christopher D.F. Rogers

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In order to transform urban transport systems to get a potentially healthier and happier travelling public, it is important to understand how people perceive different urban travel modes, since this can affect their travel satisfaction, health and well-being. These perceptions were explored for five transport modes (walking, cycling, car driving, using bus and using train), in four areas in Birmingham, UK. The areas were chosen to reflect differing levels of deprivation and public transport provision. Data were collected using a postal questionnaire, which included a ‘free associations’ methodology. Respondents had to write down the first three associations that come to mind when thinking about each of the five modes, and subsequently rated how positive or negative each association felt to them. Perceptions of all modes except car driving differed significantly across the four neighbourhoods. The level of deprivation seemed to play a particularly distinctive role, as did the availability of public (rail) transport. There were strong relationships between the perceptions of a transport mode and its use, and sometimes also the use of other modes. Exploring perception using a free associations methodology provides insights into the strengths and weaknesses of transport modes as perceived by citizens from different backgrounds, as well as their predisposition to change modes.

Original languageEnglish
Pages (from-to)316-333
Number of pages18
JournalTransportation Research Part F: Traffic Psychology and Behaviour
Volume65
DOIs
Publication statusPublished - Aug 2019

Bibliographical note

Funding Information:
This work was financially supported by the UK Engineering and Physical Sciences Research Council (EPSRC) under grant numbers EP/J017698 (Liveable Cities), EP/K012398 (iBUILD) and EP/P016782 (UK Collaboratorium for Research in Infrastructure & Cities: Urban Observatories). The authors gratefully acknowledge this support and the scholarship funding to the first author provided by the University of Birmingham .

Funding Information:
The authors gratefully acknowledge the participants who voluntarily provided data for this study. The following R packages were used for the analyses in this study and the authors wish to acknowledge their developers: FactoMineR (Le, Josse, & Husson, 2008), flipDimensionReduction (DisplayR, 2018), r2d3 (Luraschi & Allaire, 2018), rms (Harrell, 2018), scales (Wickham, 2018), tidyverse (Wickham, 2017). This work was financially supported by the UK Engineering and Physical Sciences Research Council (EPSRC) under grant numbers EP/J017698 (Liveable Cities), EP/K012398 (iBUILD) and EP/P016782 (UK Collaboratorium for Research in Infrastructure & Cities: Urban Observatories). The authors gratefully acknowledge this support and the scholarship funding to the first author provided by the University of Birmingham.

Publisher Copyright:
© 2019 Elsevier Ltd

Keywords

  • Affective image analysis
  • Free associations
  • Mode choice
  • Perceptions
  • Sustainable transport planning

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Applied Psychology

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