We compile citations and summaries of about 400 new articles every week.
Email Signup | RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article


McIlroy RC, Plant KL, Jikyong U, Nam VH, Bunyasi B, Kokwaro GO, Wu J, Hoque MS, Preston JM, Stanton NA. Accid. Anal. Prev. 2019; 131: 80-94.


University of Southampton, Human Factors Engineering Transport, Southampton, SO16 7QF, United Kingdom.


(Copyright © 2019, Elsevier Publishing)






The primary aim of this study was to validate the short version of a Pedestrian Behaviour Questionnaire across six culturally and economically distinct countries; Bangladesh, China, Kenya, Thailand, the UK, and Vietnam. The questionnaire comprised 20 items that asked respondents to rate the extent to which they perform certain types of pedestrian behaviours, with each behaviour belonging to one of five categories identified in previous literature; violations, errors, lapses, aggressive behaviours, and positive behaviours. The sample consisted of 3423 respondents across the six countries. Confirmatory factor analysis was used to assess the fit of the data to the five-factor structure, and a four-factor structure in which violations and errors were combined into one factor (seen elsewhere in the literature). For some items, factor loadings were unacceptably low, internal reliability was low for two of the sub-scales, and model fit indices were generally unacceptable for both models. As such, only the violations, lapses, and aggressions sub-scales were retained (those with acceptable reliability and factor loadings), and the three-factor model tested. Although results suggest that the violations sub-scale may need additional attention, the three-factor solution showed the best fit to the data. The resulting 12-item scale is discussed with regards to country differences, and with respect to its utility as a research tool in cross-cultural studies of road user behaviour.

Copyright © 2019 Elsevier Ltd. All rights reserved.

Language: en


Low- and middle-income countries; Pedestrian behaviour; Questionnaire survey; Traffic safety


All SafetyLit records are available for automatic download to Zotero & Mendeley