Diagnosing supervision failures in preventing falling accidents in China

Zhijun Yin, Pingbo Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Construction projects in China are subject to multiple safety production supervision and liability systems strictly enforced by central or local governments. Such a strong supervision system in practice seems to have limitations in preventing falling accidents that cause life and property losses. Many research studies focused on falling from height (FFH) and put forward many countermeasures, but many safety supervision problems remain. Some example questions are (1) why are the regulatory mechanisms ineffective? and (2) what are the hidden factors that trigger failures of preventing falling accidents? The authors collected 118 official falling accident reports from governmental websites and extracted accident causes from the reports. Based on HFACS (human factor analysis and classification system) and "24 Model" developed in previous studies, the authors proposed an analytical framework for safety supervision assessment and classified accidental causes using the framework. With the data of the reports, the authors completed relative frequency analysis and Chi-square test between the causes of accidents. The authors identified factors that highly correlated with accidents. The main findings include (1) FFH is still the top accident type in terms of frequency and casualties in housing and municipal construction projects in China, (2) "safety devices are not used" is the top-1 cause for FFH, (3) "violation of discipline and directions," "risky operation," and "incorrect use of safety devices" which are related to workers behaviors are not influenced significantly by supervision, and (4) supervision company' safety management has no significant influences on unsafe supervision behaviors related to construction company except "safety education is not in place.".

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2018
Subtitle of host publicationSafety and Disaster Management - Selected Papers from the Construction Research Congress 2018
PublisherAmerican Society of Civil Engineers (ASCE)
Pages443-453
Number of pages11
Volume2018-April
ISBN (Electronic)9780784481288
DOIs
StatePublished - Jan 1 2018
EventConstruction Research Congress 2018: Safety and Disaster Management, CRC 2018 - New Orleans, United States
Duration: Apr 2 2018Apr 4 2018

Other

OtherConstruction Research Congress 2018: Safety and Disaster Management, CRC 2018
CountryUnited States
CityNew Orleans
Period4/2/184/4/18

Fingerprint

Accidents
Safety devices
Factor analysis
Human engineering
Websites
Industry
Education

Keywords

  • Diagnosing
  • Falling accident
  • Statistical analysis
  • Supervision failures

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Yin, Z., & Tang, P. (2018). Diagnosing supervision failures in preventing falling accidents in China. In Construction Research Congress 2018: Safety and Disaster Management - Selected Papers from the Construction Research Congress 2018 (Vol. 2018-April, pp. 443-453). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784481288.043

Diagnosing supervision failures in preventing falling accidents in China. / Yin, Zhijun; Tang, Pingbo.

Construction Research Congress 2018: Safety and Disaster Management - Selected Papers from the Construction Research Congress 2018. Vol. 2018-April American Society of Civil Engineers (ASCE), 2018. p. 443-453.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yin, Z & Tang, P 2018, Diagnosing supervision failures in preventing falling accidents in China. in Construction Research Congress 2018: Safety and Disaster Management - Selected Papers from the Construction Research Congress 2018. vol. 2018-April, American Society of Civil Engineers (ASCE), pp. 443-453, Construction Research Congress 2018: Safety and Disaster Management, CRC 2018, New Orleans, United States, 4/2/18. https://doi.org/10.1061/9780784481288.043
Yin Z, Tang P. Diagnosing supervision failures in preventing falling accidents in China. In Construction Research Congress 2018: Safety and Disaster Management - Selected Papers from the Construction Research Congress 2018. Vol. 2018-April. American Society of Civil Engineers (ASCE). 2018. p. 443-453 https://doi.org/10.1061/9780784481288.043
Yin, Zhijun ; Tang, Pingbo. / Diagnosing supervision failures in preventing falling accidents in China. Construction Research Congress 2018: Safety and Disaster Management - Selected Papers from the Construction Research Congress 2018. Vol. 2018-April American Society of Civil Engineers (ASCE), 2018. pp. 443-453
@inproceedings{9a76aeff661241f2a67e51078c60fd9f,
title = "Diagnosing supervision failures in preventing falling accidents in China",
abstract = "Construction projects in China are subject to multiple safety production supervision and liability systems strictly enforced by central or local governments. Such a strong supervision system in practice seems to have limitations in preventing falling accidents that cause life and property losses. Many research studies focused on falling from height (FFH) and put forward many countermeasures, but many safety supervision problems remain. Some example questions are (1) why are the regulatory mechanisms ineffective? and (2) what are the hidden factors that trigger failures of preventing falling accidents? The authors collected 118 official falling accident reports from governmental websites and extracted accident causes from the reports. Based on HFACS (human factor analysis and classification system) and {"}24 Model{"} developed in previous studies, the authors proposed an analytical framework for safety supervision assessment and classified accidental causes using the framework. With the data of the reports, the authors completed relative frequency analysis and Chi-square test between the causes of accidents. The authors identified factors that highly correlated with accidents. The main findings include (1) FFH is still the top accident type in terms of frequency and casualties in housing and municipal construction projects in China, (2) {"}safety devices are not used{"} is the top-1 cause for FFH, (3) {"}violation of discipline and directions,{"} {"}risky operation,{"} and {"}incorrect use of safety devices{"} which are related to workers behaviors are not influenced significantly by supervision, and (4) supervision company' safety management has no significant influences on unsafe supervision behaviors related to construction company except {"}safety education is not in place.{"}.",
keywords = "Diagnosing, Falling accident, Statistical analysis, Supervision failures",
author = "Zhijun Yin and Pingbo Tang",
year = "2018",
month = "1",
day = "1",
doi = "10.1061/9780784481288.043",
language = "English (US)",
volume = "2018-April",
pages = "443--453",
booktitle = "Construction Research Congress 2018",
publisher = "American Society of Civil Engineers (ASCE)",

}

TY - GEN

T1 - Diagnosing supervision failures in preventing falling accidents in China

AU - Yin, Zhijun

AU - Tang, Pingbo

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Construction projects in China are subject to multiple safety production supervision and liability systems strictly enforced by central or local governments. Such a strong supervision system in practice seems to have limitations in preventing falling accidents that cause life and property losses. Many research studies focused on falling from height (FFH) and put forward many countermeasures, but many safety supervision problems remain. Some example questions are (1) why are the regulatory mechanisms ineffective? and (2) what are the hidden factors that trigger failures of preventing falling accidents? The authors collected 118 official falling accident reports from governmental websites and extracted accident causes from the reports. Based on HFACS (human factor analysis and classification system) and "24 Model" developed in previous studies, the authors proposed an analytical framework for safety supervision assessment and classified accidental causes using the framework. With the data of the reports, the authors completed relative frequency analysis and Chi-square test between the causes of accidents. The authors identified factors that highly correlated with accidents. The main findings include (1) FFH is still the top accident type in terms of frequency and casualties in housing and municipal construction projects in China, (2) "safety devices are not used" is the top-1 cause for FFH, (3) "violation of discipline and directions," "risky operation," and "incorrect use of safety devices" which are related to workers behaviors are not influenced significantly by supervision, and (4) supervision company' safety management has no significant influences on unsafe supervision behaviors related to construction company except "safety education is not in place.".

AB - Construction projects in China are subject to multiple safety production supervision and liability systems strictly enforced by central or local governments. Such a strong supervision system in practice seems to have limitations in preventing falling accidents that cause life and property losses. Many research studies focused on falling from height (FFH) and put forward many countermeasures, but many safety supervision problems remain. Some example questions are (1) why are the regulatory mechanisms ineffective? and (2) what are the hidden factors that trigger failures of preventing falling accidents? The authors collected 118 official falling accident reports from governmental websites and extracted accident causes from the reports. Based on HFACS (human factor analysis and classification system) and "24 Model" developed in previous studies, the authors proposed an analytical framework for safety supervision assessment and classified accidental causes using the framework. With the data of the reports, the authors completed relative frequency analysis and Chi-square test between the causes of accidents. The authors identified factors that highly correlated with accidents. The main findings include (1) FFH is still the top accident type in terms of frequency and casualties in housing and municipal construction projects in China, (2) "safety devices are not used" is the top-1 cause for FFH, (3) "violation of discipline and directions," "risky operation," and "incorrect use of safety devices" which are related to workers behaviors are not influenced significantly by supervision, and (4) supervision company' safety management has no significant influences on unsafe supervision behaviors related to construction company except "safety education is not in place.".

KW - Diagnosing

KW - Falling accident

KW - Statistical analysis

KW - Supervision failures

UR - http://www.scopus.com/inward/record.url?scp=85048662194&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048662194&partnerID=8YFLogxK

U2 - 10.1061/9780784481288.043

DO - 10.1061/9780784481288.043

M3 - Conference contribution

VL - 2018-April

SP - 443

EP - 453

BT - Construction Research Congress 2018

PB - American Society of Civil Engineers (ASCE)

ER -