The Importance of Cognitive and Mental Factors on Prediction of Job Performance in Chinese High-Speed Railway Dispatchers

Author:

Guo Zizheng123,Zou Jiaming12,He Chuanning4,Tan Xi12,Chen Chongshuang5,Feng Guo6ORCID

Affiliation:

1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China

2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China

3. National Engineering Laboratory for Comprehensive Transportation Big Date Application Technology, National Development and Reform Commission, Beijing 100000, China

4. Dispatch Office of China Railway Chengdu Group Co. Ltd., Chengdu 610082, China

5. School of Mathematics, Southwest Jiaotong University, Chengdu 611756, China

6. Psychological Research and Counseling Center, Southwest Jiaotong University, Chengdu 611756, China

Abstract

High-speed railway (HSR) transportation poses a serious challenge to dispatchers, whose job performance plays a critical role for the safety and efficiency of the transportation system. This study examined the relationship between cognitive and mental factors and job performance among Chinese high-speed railway dispatchers and established a predictive model for the job performance of dispatchers. Cognitive abilities involved in train dispatching including working memory and multiobject tracking and potential related mental factors including depression, anxiety, perceived stress, and social support were examined. Job performances were measured by both subjective and objective indicators, i.e., the overall evaluation by supervisors and the delay time by dispatching simulator. Stepwise regression results showed that both cognitive abilities and 2 mental factors (depression and perceived stress) have strong relations with job performance, and tremendous distinction between groups of good and poor performance of HSR dispatchers is revealed. The predictive model accounted for 91% of the overall variance in objective performance indicator and has 96% distinguished accuracy of good and poor groups. These findings imply that cognitive and mental factors should be of great concern to the current practice of Chinese HSR dispatcher selection and management.

Funder

Science and Technology Program of Sichuan Province

Publisher

Hindawi Limited

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

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