Literature DB >> 26056970

Metro passenger behaviors and their relations to metro incident involvement.

Xin Wan1, Qiming Li2, Jingfeng Yuan2, Paul M Schonfeld3.   

Abstract

The frequent incidents caused by metro passengers in China suggest that it is necessary to explore the classification and effects of passenger behaviors and their relations to incident involvement. A metro passenger behavior questionnaire (MPBQ) and a metro station staff questionnaire (MSSQ), both comprising 32 behavior items, were developed and surveyed on a sample of metro passengers (N=579) and metro staff (N=99). Using the MPBQ, the self-reported frequency of each aberrant behavior was measured and subjected to explanatory factor analysis, which revealed a three-factor solution on the 28 retained behavior items: transgressions, self-willed inattentions and abrupt violations. ANOVA was used to examine the effects of demographic and riding profile variables on different types of behaviors. The MSSQ was used to collect metro staff opinions on behavior frequency, severity and entities that might be affected, given that a specific behavior occurred. An importance hierarchy was established over the 32 identified behaviors to determine the most important riding behaviors. Finally, logistic regression showed that riding time, number of stops experienced by a passenger and, more importantly, transgressions and abrupt violations, were significant predictors of incident involvement. The possible explanations and implications of the findings might help in understanding passenger behaviors and targeting metro safety interventions in ways that promote safer operations.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Errors; Incidents; Passenger behaviors; Rail transit safety; Violations

Mesh:

Year:  2015        PMID: 26056970     DOI: 10.1016/j.aap.2015.05.015

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  Rules of incidental operation risk propagation in metro networks under fully automatic operations mode.

Authors:  Wenying Chen; Jinyu Yang; Mohammad T Khasawneh; Jiaping Fu; Baoping Sun
Journal:  PLoS One       Date:  2021-12-16       Impact factor: 3.240

2.  An Improved Kinect Recognition Method for Identifying Unsafe Behaviors of Metro Passengers.

Authors:  Ying Lu; Yifan Yu; Xifan Lv; Tingting Tao
Journal:  Sensors (Basel)       Date:  2022-09-28       Impact factor: 3.847

  2 in total

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