Implementation of simulated driving tests and interviews to investigate the impact of gender on rail transit driving tasks.
Background: The rail transit sector is experiencing growing gender diversity and increasing system automation. Understanding how gender influences drivers' trust in automation, operational performance, and perceived workload is crucial for ensuring safe and equitable development. Objective: This stu...
| Published in: | Work Vol. 82; no. 3; pp. 845 - 859 |
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| Main Authors: | , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Sage Publications Inc.
Nov2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189650146&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189650146 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: Nov2025 vid: 82 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 189650146 186027124 189650146 189650146 10.1177/10519815251351601 189650146 ppf: 845 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Implementation of simulated driving tests and interviews to investigate the impact of gender on rail transit driving tasks. aug: au: Ding, Tiecheng Zhi, Jinyi Li, Ruizhen Yu, Dongyu He, Sijun Jing, Chunhui affil: School of Design, Southwest Jiaotong University, Chengdu, China sug: subj: Transportation Automation Simulations Workload Sex Factors Task Performance and Analysis Human Male Female Experimental Studies Semi-Structured Interview Multimethod Studies T-Tests Adult Scales Data Analysis Software Mann-Whitney U Test Spearman's Rank Correlation Coefficient Chi Square Test Work-Life Balance Work Environment Funding Source Adult: 19-44 years Male Female ab: Background: The rail transit sector is experiencing growing gender diversity and increasing system automation. Understanding how gender influences drivers' trust in automation, operational performance, and perceived workload is crucial for ensuring safe and equitable development. Objective: This study aimed to investigate gender differences in automation trust, task performance, and subjective workload in rail transit driving tasks and to explore the interrelationships among these factors. Methods: Sixty novice drivers (30 males and 30 females) participated in a simulated driving experiment and semi-structured interviews. Quantitative data were analyzed using independent-sample t-tests, Mann–Whitney U tests, and Spearman's correlation analysis. Interview data were coded using deductive and inductive approaches, and chi-square tests were used to examine gender-based differences in perspectives. Results: Females reported lower trust in automation than males. No significant gender differences were found in safety braking performance, but females outperformed males in door control tasks and reported higher physical workload and effort. For both genders, higher trust was associated with lower physical workload. In males, door control performance correlated with effort, whereas in females, multiple performance indicators correlated with frustration. Males also expressed a more favorable attitude toward the driving tasks and the future role of female drivers. Conclusions: Gender differences in rail transit driving are more prominent in trust and subjective workload than in operational performance. Both genders require automation training. Men should be encouraged to enhance rule compliance throughout the driving process, while women may benefit from interventions targeting psychological workload. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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