Abstract To investigate the development patterns of shaft construction accidents in China, this study statistically analyzed 106 shaft construction accidents that occurred from 2003 to 2022. Using line charts, bar charts, regional distribution maps, and pie charts, the study examined accident numbers, fatalities, and injuries to identify temporal distribution characteristics, spatial distribution features, and the classification characteristics of accidents by severity and type. Safety prevention and control measures for shaft construction were proposed based on the findings. Temporal distribution characteristics were analyzed by year, month, weekday, and time period, revealing distinct periodicity in the three indicators during the study period. June was identified as the peak month for accidents, with Thursdays being the most accident-prone weekday. Spatial distribution analysis showed that accidents predominantly occurred in central regions of China, followed by the northwest and southwest regions. Based on fatality counts, the severity of accidents was assessed, revealing that most accidents were categorized as minor, while fatalities from major and significant accidents accounted for approximately 84% of the total. The study classified shaft construction accidents into nine types, with the most common being personnel falling, falling objects, and shaft wall collapses.
Abstract：
To investigate the development patterns of shaft construction accidents in China, this study statistically analyzed 106 shaft construction accidents that occurred from 2003 to 2022. Using line charts, bar charts, regional distribution maps, and pie charts, the study examined accident numbers, fatalities, and injuries to identify temporal distribution characteristics, spatial distribution features, and the classification characteristics of accidents by severity and type. Safety prevention and control measures for shaft construction were proposed based on the findings. Temporal distribution characteristics were analyzed by year, month, weekday, and time period, revealing distinct periodicity in the three indicators during the study period. June was identified as the peak month for accidents, with Thursdays being the most accident-prone weekday. Spatial distribution analysis showed that accidents predominantly occurred in central regions of China, followed by the northwest and southwest regions. Based on fatality counts, the severity of accidents was assessed, revealing that most accidents were categorized as minor, while fatalities from major and significant accidents accounted for approximately 84% of the total. The study classified shaft construction accidents into nine types, with the most common being personnel falling, falling objects, and shaft wall collapses.
ZHANG Junwei1 YANG Zhe
.Patterns and Distribution Characteristics of Shaft Construction Accidents in China (2003—2022)[J] MODERN TUNNELLING TECHNOLOGY, 2024,V61(6): 1-8
2024, Vol. 61 