A Human-Centered Risk Model for the Construction Safety

被引:6
|
作者
Wu, Kaiwei [1 ]
Wu, Zekun [2 ]
机构
[1] Jimei Univ, Sch Port & Environm Engn, Xiamen 361012, Peoples R China
[2] Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63112 USA
关键词
Cognitive science; construction; human factor; safety management; HUMAN RELIABILITY-ANALYSIS; BAYESIAN-NETWORK; MANAGEMENT; QUANTIFICATION; PROBABILITY; ERROR; CREAM;
D O I
10.1109/ACCESS.2020.3017772
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper aims at quantifying the human errors in the construction work and analysing their potential impact on the construction accident. It proposes to analysis the risks in the construction safety with the human reliability analysis (HRA) method. The paper adopted a fuzzy Bayesian network (BNN) approach to incorporate the cognitive reliability and error analysis method (CREAM), which is one of the representative HRA method, into the construction safety analysis. This fuzzy BNN was developed into a human-centered risk model. The model used the intuitionistic fuzzy sets (IFS) to represent the expert's judgment and generated the probability distribution by the mass assignment theory. A case study on the fire accident in the construction of Xiamen Metro Line 2 in China was provided. The model has proved to be able to analysis the construction accident from the human factor perspective and elicit meaningful quantification results.
引用
收藏
页码:154072 / 154086
页数:15
相关论文
共 50 条
  • [21] Human-centered deep compositional model for handling occlusions
    Koporec, Gregor
    Pers, Janez
    PATTERN RECOGNITION, 2023, 138
  • [22] Robot in the loop: a human-centered approach to contextualizing AI and robotics in construction
    Yuning Wu
    Emek Erdolu
    Jiaying Wei
    Jean Oh
    Daniel Cardoso Llach
    Construction Robotics, 2025, 9 (1)
  • [23] SEIPS 3.0: Human-centered design of the patient journey for patient safety
    Carayon, Pascale
    Wooldridge, Abigail
    Hoonakker, Peter
    Hundt, Ann Schoofs
    Kelly, Michelle M.
    APPLIED ERGONOMICS, 2020, 84 (84)
  • [24] Toward human-centered systems
    Talbert, N
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 1997, 17 (04) : 21 - 28
  • [25] Human-centered computing at NASA
    Shafto, MG
    Hoffman, RR
    IEEE INTELLIGENT SYSTEMS, 2002, 17 (05) : 10 - 14
  • [26] Ethics in Human-Centered Design
    Iio, Jun
    Hasegawa, Atsushi
    Iizuka, Shigeyoshi
    Hayakawa, Seiji
    Tsujioka, Hiroshi
    HUMAN-COMPUTER INTERACTION: THEORY, METHODS AND TOOLS, HCII 2021, PT I, 2021, 12762 : 161 - 170
  • [27] An Analysis of Human-Centered Geolocation
    Wang, Kaili
    Huang, Yu-Hui
    Oramas, Jose M.
    Luc Van Gool
    Tuytelaars, Tinne
    2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018), 2018, : 2058 - 2066
  • [28] Implicit Human-Centered Tagging
    Pantic, Maja
    Vinciarelli, Alessandro
    IEEE SIGNAL PROCESSING MAGAZINE, 2009, 26 (06) : 173 - 180
  • [29] A Human-Centered Behavioral Informatics
    Esposito, Anna
    Faundez-Zanuy, Marcos
    Morabito, Francesco Carlo
    Pasero, Eros
    QUANTIFYING AND PROCESSING BIOMEDICAL AND BEHAVIORAL SIGNALS, 2019, 103 : 3 - 8
  • [30] Dependability in human-centered robotics
    Giralt, G
    Ingrand, F
    IEEE ROBOTICS & AUTOMATION MAGAZINE, 2004, 11 (02) : 4 - 4