Representing and assessing distributed situation awareness in multi-agency disaster response
A hypergraph-based methodology
Bibliographic Data
| ID | 22028660 |
|---|---|
| Authors | Chong Gao (0000-0001-7639-0808, University of Chinese Academy of Sciences), Hui Jiang (0000-0001-8393-8368, University of Chinese Academy of Sciences, corresponding author), Xiaoling Guo (0000-0003-2855-7487, University of Chinese Academy of Sciences) |
| Year | 2024 |
| Volume | 111 |
| Pages | 104747 |
| Publication date | 2024-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2024.104747 |
| OpenAlex | W4401486710 |
| Language | EN |
| References cited | 34 |
This paper introduces a novel hypergraph-based methodology for representing and assessing distributed situation awareness (DSA) in multi-agency disaster response. The fundamental ideas and motivations of our methodology stem from the following widely acknowledged understandings and phenomenons: (a) DSA’s representation should be approached from social, information and task dimensions; (b) DSA is one of the collective behaviors that emerge from the interactions; (c) the interactions in the real world are not pairwise. Our methodology delineates the collaboration, co-activation, and co-existence interactions among social, information, and task elements as higher-order interactions. We then construct these interaction systems using hypergraph-structured data derived from disaster response scenarios. Subsequently, these systems are encoded into hypergraphs, which are validated against our dataset and proven to be practical tools for depicting higher-order interaction patterns. Analytical techniques tailored to hypergraphs are applied, yielding insights intrinsic to hypergraphs regarding DSA in emergency response. Moreover, we integrate these interaction systems into a comprehensive framework that allows for the visualization and quantitative analyses of DSA evolution dynamics. We propose several indicators of evolution, discussing their trends and implications throughout the development of the emergency response. We locate the system deficiencies by revealing a mismatch between the positions of specific elements in the network and their functions. We also identify the saturation phase in the DSA evolution process
Data mining · Data science · Emergency management · Epistemology · Hypergraph · Knowledge management · Pairwise comparison · Systems engineering · Visualization · Complex Network Analysis Techniques · Computer Science · Data Visualization and Analytics · Disaster Management and Resilience · Engineering · Mathematics · Artificial Intelligence · Theoretical Computer Science
Inter-organizational coordination in extreme events
Challenges in multi-agency collaboration in disaster management
Situation Awareness in multi-agency emergency response
Coordination during multi‐agency emergency response
A Systematic Review of Empirical Emergency Management Network Research
Communication, Coherence, and Collective Action
Evolutionary dynamics of higher-order interactions in social networks
| Highly cited | No |
|---|