Suchergebnisse

Intro -- Table of Contents -- Maps -- Translators' Introduction -- Type 1: Misdirection and Theft -- Stealing Silk with a Decoy Horse -- Handing Over Silver Before Running Off with It -- A Clever Trick on a Pig Seller -- Pilfering Green Cloth by Pretending to Steal a Goose -- Type 2: The Bag Drop -- Dropping a Bag by the Roadside to Set Up a Switcheroo -- Type 3: Money Changing -- A Daoist in a Boat Exchanges Some Gold -- Type 4: Misrepresentation -- Forged Letters from the Education Intendant Report Auspicious Dreams -- Using Broom Handles to Play a Joke on Sedan Bearers -- Type 5: False Relations -- Inciting a Friend to Commit Adultery and Swindling Away His Land -- Type 6: Brokers -- A Conniving Broker Takes Paper and Ends Up Paying with His Daughter -- A Destitute Broker Takes Some Wax to Pay Off Old Debts -- Type 7: Enticement to Gambling -- A Stern Warning to a Gambler Provokes Others to Entice Him to Relapse -- Type 8: Showing Off Wealth -- Impersonating the Son of an Official to Steal a Merchant's Silver -- Flashy Clothing Incites Larceny -- Type 9: Scheming for Wealth -- Stealing a Business Partner's Riches Only to Lose One's Own -- Haughtiness Leads to a Lawsuit That Harms Wealth and Health -- Type 10: Robbery -- Robbing a Pawnshop by Pretending to Leave Goods There -- Type 11: Violence -- Sticking a Plaster in the Eyes to Steal a Silver Ingot -- Type 12: On Boats -- Bringing Mirrors Aboard a Boat Invites a Nefarious Plot -- Porters Run Off with Cargo from a Boat -- Type 13: Poetry -- Swindling the Salt Commissioner While Disguised as Daoists -- Chen Quan Scams His Way Into the Arms of a Famous Courtesan -- Type 14: Fake Silver -- Planting a Fake Ingot to Swindle a Farmer -- Type 15: Government Underlings -- Swindled on the Way Out of a Court Hearing -- An Officer Reprimands a Captured Criminal in Order to Halve His Flogging

The coal mine safety situation remains grim in China. This study proposed a hybrid systems method integrating the human factors analysis and classification system and grey relational analysis to determine the key factors causing coal mine casualties. The method was applied to analyse 94 coal mining accidents from 1997 to 2011, and the results were as follows. (a) Among the five levels, "unsafe acts" has the highest grey relational grade with accident casualties, followed by "preconditions for unsafe acts," "organizational influences," "unsafe supervision," and "external factors." (b) Among all categories, "inadequate supervision" has the closest relationship with accident casualties, followed by "violations," "environmental factors," and "errors." (c) "Naked fire in flammable and explosive places" and "untimely accident handling or improper handling measures" are important indicators affecting accident casualties. Finally, some corresponding suggestions for safe coal mine production were proposed.

AbstractUnderstanding the interactions between contributory factors associated with accidents is important. However, the widely applied Swiss cheese model (SCM) and the human factors analysis and classification system (HFACS) oversimplify the causes of accidents and ignore the interactions among the various components of an entire system, which is the essence of systems thinking. A new systems‐based accident model that reflects the nature of the accidents and can be explained by the underlying accident model must therefore be developed. This study aims to create a new accident model that represents the interactions between the contributory factors, which can offer a systems approach to conducting a comprehensive examination of accidents. We use data obtained from the official accident reports on 94 extraordinary major coal mining catastrophes that took place from 1997 to 2011 in China. The results reveal that all latent conditions, including external factors, organizational influences, unsafe supervision, and preconditions for unsafe behaviours can influence active failures, that is, unsafe behaviours. However, only the preconditions for unsafe behaviours can influence unsafe behaviours within the SCM and HFACS frameworks. Furthermore, latent conditions can affect each other within the contributory factors interactions model. This study provides a new systems‐based accident model that allows us to examine and explain the relationships and linkages within and between complex sociotechnical systems and identify the common factors and interactions that cross human, external, and organizational factors.