A review of urban resilience literature
Urban resilience (UR) is a central concept in enabling cities to be prepared for disasters and
unexpected events caused by climate change-induced extreme weather conditions. The …
unexpected events caused by climate change-induced extreme weather conditions. The …
Big data and disaster management: a systematic review and agenda for future research
The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …
Toward data-driven, dynamical complex systems approaches to disaster resilience
With rapid urbanization and increasing climate risks, enhancing the resilience of urban
systems has never been more important. Despite the availability of massive datasets of …
systems has never been more important. Despite the availability of massive datasets of …
An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding
This paper presents an integrated framework that combines a community's physical
vulnerability to access disruption to critical facilities and their tolerance for such access …
vulnerability to access disruption to critical facilities and their tolerance for such access …
[HTML][HTML] Agent-based modelling of post-disaster recovery with remote sensing data
Disaster risk management, and post-disaster recovery (PDR) in particular, become
increasingly important to assure resilient development. Yet, PDR is the most poorly …
increasingly important to assure resilient development. Yet, PDR is the most poorly …
Characteristics, dimensions and methods of current assessment for urban resilience to climate-related disasters: A systematic review of the literature
P Tong - International Journal of Disaster Risk Reduction, 2021 - Elsevier
As the frequency and severity of climate-related disasters increases, understanding how to
improve urban resilience has become an important area of research. The first step in …
improve urban resilience has become an important area of research. The first step in …
A network observability framework for sensor placement in flood control networks to improve flood situational awareness and risk management
Monitoring the state of infrastructure systems proactively is crucial to ensure their proper
functionality during extreme events. Flood control networks are designed to keep …
functionality during extreme events. Flood control networks are designed to keep …
Community of practice for modeling disaster recovery
The goal of this paper is to facilitate a community of practice for disaster recovery modeling.
This community should include hazard and disaster researchers without modeling …
This community should include hazard and disaster researchers without modeling …
A hybrid deep learning model for predictive flood warning and situation awareness using channel network sensors data
S Dong, T Yu, H Farahmand… - Computer‐Aided Civil …, 2021 - Wiley Online Library
The objective of this study is to create and test a hybrid deep learning (DL) model,
FastGRNN‐FCN (fast, accurate, stable and tiny gated recurrent neural network‐fully …
FastGRNN‐FCN (fast, accurate, stable and tiny gated recurrent neural network‐fully …
Computational social science of disasters: Opportunities and challenges
Disaster events and their economic impacts are trending, and climate projection studies
suggest that the risks of disaster will continue to increase in the near future. Despite the …
suggest that the risks of disaster will continue to increase in the near future. Despite the …