Smart city and crisis management: Lessons for the COVID-19 pandemic
COVID-19 shocked cities around the world and revealed the vulnerability of urban lives and
functions. Most cities experienced a catastrophic disturbance that has lasted for a long time …
functions. Most cities experienced a catastrophic disturbance that has lasted for a long time …
[HTML][HTML] A critical review of digital technology innovations for early warning of water-related disease outbreaks associated with climatic hazards
Water-related climatic disasters pose a significant threat to human health due to the potential
of disease outbreaks, which are exacerbated by climate change. Therefore, it is crucial to …
of disease outbreaks, which are exacerbated by climate change. Therefore, it is crucial to …
A systematic review of the use of topic models for short text social media analysis
Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …
datasets. These models are typically evaluated using automated measures. However, recent …
[HTML][HTML] CasSeqGCN: Combining network structure and temporal sequence to predict information cascades
One important task in the study of information cascade is to predict the future recipients of a
message given its past spreading trajectory. While the network structure serves as the …
message given its past spreading trajectory. While the network structure serves as the …
Improving crisis events detection using distilbert with hunger games search algorithm
This paper presents an alternative event detection model based on the integration between
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
A building information modeling-based fire emergency evacuation simulation system for large infrastructures
Z Ding, S Xu, X Xie, K Zheng, D Wang, J Fan… - Reliability Engineering & …, 2024 - Elsevier
During fire emergencies, people in large infrastructures are difficult to comprehend real-time
fire dynamics and identify available evacuation routes, leading to lengthy evacuation time …
fire dynamics and identify available evacuation routes, leading to lengthy evacuation time …
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Social media allows the spread of vital information regarding crises and emergencies. Thus,
emergency management systems can benefit from social media because they can be used …
emergency management systems can benefit from social media because they can be used …
Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit
Online social networks (OSNs) have become a powerful tool to study collective human
responses to extreme events such as earthquakes. Most previous research concentrated on …
responses to extreme events such as earthquakes. Most previous research concentrated on …
A systematic review of natural language processing applications for hydrometeorological hazards assessment
Natural language processing (NLP) is a promising tool for collecting data that are usually
hard to obtain during extreme weather, like community response and infrastructure …
hard to obtain during extreme weather, like community response and infrastructure …
Early warning response to rainstorm: designing a model with incentive and supervision mechanisms based on the principal-agent theory
R Ma, J Liu, S An - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Owing to the increasing frequency of rainstorm disasters, strengthening the link between
meteorological warning and emergency response that is early warning response has …
meteorological warning and emergency response that is early warning response has …