文献
J-GLOBAL ID:202002287399453098
整理番号:20A2064220
解析ネットワークプロセスと拡張雲モデルを適用した地下鉄建設現場における安全システムのレジリエンス評価【JST・京大機械翻訳】
Resilience assessment of safety system at subway construction sites applying analytic network process and extension cloud models
著者 (4件):
Guo Qingjun
(Xi’an Technological University, No. 2 Xuefuzhonglu Road, Weiyang District, Xi’an City, Shaanxi Province, 710021, People’s Republic of China)
,
Amin Shohel
(Lecturer in Civil Engineering (Highways & Transportation), Research Associate, Institute for Future Transport and Cities, School of Energy, Construction and Environment, John Laing Building, Room No. JL136, Coventry University, Priory St, Coventry, West Midlands, CV1 5FB, United Kingdom)
,
Hao Qianwen
(Xi’an Technological University, No. 2 Xuefuzhonglu Road, Weiyang District, Xi’an City, Shaanxi Province, 710021, People’s Republic of China)
,
Haas Olivier
(Reader Applied Control Systems, Future Cities Research Group, Institute for Future Transport and Cities, The Futures Institute, 10 Coventry Innovation village, Coventry University Technology Park, Cheetah Road, Coventry, CV1 2TL, UK)
資料名:
Reliability Engineering & System Safety
(Reliability Engineering & System Safety)
巻:
201
ページ:
Null
発行年:
2020年
JST資料番号:
D0980B
ISSN:
0951-8320
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)