Abstract
This paper combines ergonomics theory to study the fatigue factors of construction workers from five aspects: worker, working environment, machinery equipment, organization and management and work itself. We use the questionnaire survey method to study the factors affecting the fatigue of construction workers, and use SPSS24.0 to analyze the reliability and validity of the obtained data. AMOS17.0 software performs the confirmatory analysis and obtains the structural equation that affects the fatigue factor of the operation. The model, and therefore proposed a feasible countermeasure.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cuilan, L.: Problems and solutions in construction project management. Shanxi Archit. 43(36), 231–232 (2017)
Hui, J.: Research on optimization methods and strategies for safety costs of construction enterprises. China University of Mining and Technology (2018)
Cheng**, X.: Research on goal-oriented individual unsafe behavior of construction workers. Chongqing University (2018)
Yaohua, S., Xueniang, L.: Research on the evaluation of construction workers’ work fatigue at the construction site. Constr. Econ. 35(12), 130–133 (2014)
Murata, A., Uetake, A., Takasawa, Y.: Evaluation of mental fatigue using feature parameter extracted from event-related potential. Int. J. Ind. Ergon. 35(8), 761–770 (2005)
Jap, B.T., Lal, S., Fischer, P., Bekiaris, E.: Using EEG spectral components to assess algorithms for detecting fatigue. Exp. Syst. Appl. 36(2), 2352–2359 (2007)
Ren Dawei, X., **aohua, L.Y., Wenyu, Y.: Research on influencing factors and countermeasures of coal mine underground operation fatigue. Coal Mine Saf. 50(03), 231–234 (2019)
Tabachnick, B.G., Fidell, L.S.: Using Multivariate Statistics (5th ed.) Allyn and Bacon, Needham Heights (2007)
**g, D.: Research on the evaluation of the influence of fatigue factors on the operating efficiency in the manufacturing industry. North University of China (2013)
Ruishan, S., Kang, L., **gqiang, L.: Analysis of fatigue status and influencing factors of air traffic controllers. J. Saf. Environ. 18(06), 2241–2246 (2018)
**wen, C.: A brief talk on flight fatigue performance, influencing factors and related technologies for monitoring. China New Commun. 20(03), 131–132 (2018)
Kavelaars, A., Kuis, W., Knookl, et al.: Disturbed neuroendocrine immune immune in inter actions in chronic fatigue syndrome. Clin. Endocrinol. Metab. 85(2), 92–99 (2000)
Hair, J.F., Anderson, R.E., Tatham, R.L., Black, W.C.: Multivariate Data Analysis. Prentice Hall, New York (1998)
Teng, X.: Comprehensive evaluation of factors affecting online workers’ work fatigue in manufacturing. Anhui University of Science and Technology (2017)
Minglong, W.: Structural Equation Model-AMOS Operation and Application, pp. 38–59. Chongqing University Press, Chongqing (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Yang, Xg., He, Xy., Wang, Qq. (2022). Factors Affecting Construction Workers’ Fatigue Based on Statistical Analysis. In: Al-Turjman, F., Rasheed, J. (eds) Forthcoming Networks and Sustainability in the IoT Era . FoNeS-IoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 130. Springer, Cham. https://doi.org/10.1007/978-3-030-99581-2_39
Download citation
DOI: https://doi.org/10.1007/978-3-030-99581-2_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-99580-5
Online ISBN: 978-3-030-99581-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)