Digital-twin-based multi-scale simulation supports urban emergency management: a case study of urban epidemic transmission

被引:0
作者
Lin, Haojia [1 ,2 ,3 ,4 ]
Guo, Renzhong [1 ,3 ,4 ]
Ma, Ding [1 ,3 ,4 ]
Kuai, Xi [1 ,3 ,4 ]
Yuan, Zhilu [1 ,3 ,4 ]
Du, Zhanwei [5 ]
He, Biao [1 ,3 ,4 ]
机构
[1] Shenzhen Univ, Res Inst Smart Cities, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China
[2] Wuhan Univ, Key Lab Digital Mapping & Land Informat Applicat, Minist Nat Resources, Wuhan, Peoples R China
[3] Shenzhen Univ, State Key Lab Subtrop Bldg & Urban Sci, Shenzhen 518060, Peoples R China
[4] Shenzhen Univ, Guangdong Hong Kong Macau Joint Lab Smart Cities, Shenzhen 518060, Peoples R China
[5] Univ Hong Kong, LKS Fac Med, Sch Publ Hlth, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban emergency management; digital twin city; spatial data fusion; multi-scale visualization; epidemic simulation; DATA FUSION; STRATEGIES; SYSTEMS; SARS;
D O I
10.1080/17538947.2024.2421950
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Improving emergency management capabilities is vital for sustainable cities. However, urban emergency management is a complex, giant system that interacts between urban virtual and real spaces, requiring simulation in the virtual space and feedback to the real space. The digital twin model can potentially play an important role in this process, but still faces significant challenges in terms of modeling, simulation, and visualization. In this study, we propose a digital-twin-based multi-scale simulation method and take epidemic transmission as a case study. First, an entity-oriented unified urban database integrating multi-source urban data was constructed as the digital twins of urban human settlements for emergency modeling. Then, a multi-scale urban emergency simulation method in 3D geographic environment was proposed to support emergency simulation for multi-level urban management units. Moreover, an adaptive fusion rendering of emergency information and 3D scene was proposed to support the refinement of emergency visualization. An experimental case study on epidemic risk estimation was conducted through thousands of outbreak scenarios. The results demonstrate that the proposed method can establish the digital twins of urban human settlements, where modeling, simulation, and visualization of emergency at multi-scales can be carried out, thus enhancing the efficacy and efficiency of emergency management.
引用
收藏
页数:22
相关论文
共 62 条
[1]   Big data and disaster management: a systematic review and agenda for future research [J].
Akter, Shahriar ;
Wamba, Samuel Fosso .
ANNALS OF OPERATIONS RESEARCH, 2019, 283 (1-2) :939-959
[2]   Special Section on Modeling and Simulation in Disaster and Emergency Management [J].
Solis, Adriano O. ;
Marquez, Leorey O. ;
Bruzzone, Agostino G. .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2020, 67 (03) :516-518
[3]   Multi-hazard disaster scenario method and emergency management for urban resilience by integrating experiment-simulation-field data [J].
Ba, Rui ;
Deng, Qing ;
Liu, Yi ;
Yang, Rui ;
Zhang, Hui .
JOURNAL OF SAFETY SCIENCE AND RESILIENCE, 2021, 2 (02) :77-89
[4]   Digital twins [J].
Batty, Michael .
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2018, 45 (05) :817-819
[5]   A conceptual digital twin framework for city logistics [J].
Belfadel, Abdelhadi ;
HorL, Sebastian ;
Tapia, Rodrigo Javier ;
Politaki, Dimitra ;
Kureshi, Ibad ;
Tavasszy, Lorant ;
Puchinger, Jakob .
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2023, 103
[6]  
Bernoulli Daniel., 1760, Histoire de l'Acadmie royale des sciences, avec les mmoires de mathmatique et de physique, P1
[7]   Treatment of SARS with human interferons [J].
Cinatl, J ;
Morgenstern, B ;
Bauer, G ;
Chandra, P ;
Rabenau, H ;
Doerr, HW .
LANCET, 2003, 362 (9380) :293-294
[8]  
Cirella G.T., 2022, HUMAN SETTLEMENTS, P3
[9]  
Danon Leon, 2011, Interdiscip Perspect Infect Dis, V2011, P284909, DOI 10.1155/2011/284909
[10]   A systematic review of a digital twin city: A new pattern of urban governance toward smart cities [J].
Deng, Tianhu ;
Zhang, Keren ;
Shen, Zuo-Jun .
JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING, 2021, 6 (02) :125-134