Passengers' self-protective intentions while using ride-hailing services during the COVID-19 pandemic

Duy Quy Nguyen-Phuoc*, Diep Ngoc Su, My Thanh Tran Dinh, James David Albert Newton, Oscar Oviedo-Trespalacios

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In the transport context, there has been limited research examining passengers' health-protective behaviour while travelling during a health-related crisis such as COVID-19. This study develops a conceptual model aiming to explore determinants associated with passengers' self-protective intentions using the context of ride-hailing services in Vietnam. Ride-hailing services are popular in countries where public transport is underdeveloped. The conceptual model is based on perceived risk and self-efficacy as the main predictor of self-protective intentions when using ride-hailing services. In addition, the proposed conceptual model explores the direct and indirect impact of subjective knowledge and the perceived effectiveness of preventive measures on self-protective intentions. The proposed conceptual model was tested on a large sample of ride-hailing users in Vietnam (n = 527). The structural equation modelling (SEM) analysis results indicate that self-efficacy has the highest total impact on self-protective behaviour, followed by subject knowledge and perceived effectiveness of preventive measures. Self-efficacy also plays a fully mediating role in the linkage between the perceived effectiveness of preventive measures implemented by ride-hailing organisations and the intention to engage in self-protective behaviour. The results of this study expand the current understanding of ride-hailing passengers' health-protective behaviour and contribute to the transport and public health literature.
Original languageEnglish
Article number105920
JournalSafety Science
Volume157
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

  • Human factors
  • Perceived risk
  • Public transport
  • Ride-hailing
  • Safety science
  • Self-efficacy
  • Subject knowledge

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