Industry 4.0, disaster risk management and infrastructure resilience: a systematic review and bibliometric analysis
The fourth industrial era, known as 'Industry 4.0'(I4. 0), aided and abetted by the digital
revolution, has attracted increasing attention among scholars and practitioners in the last …
revolution, has attracted increasing attention among scholars and practitioners in the last …
Real‐time regional seismic damage assessment framework based on long short‐term memory neural network
Effective post‐earthquake response requires a prompt and accurate assessment of
earthquake‐induced damage. However, existing damage assessment methods cannot …
earthquake‐induced damage. However, existing damage assessment methods cannot …
[HTML][HTML] Research communities in cyber security vulnerability assessments: A comprehensive literature review
Ethical hacking and vulnerability assessments are gaining rapid momentum as academic
fields of study. Still, it is sometimes unclear what research areas are included in the …
fields of study. Still, it is sometimes unclear what research areas are included in the …
Flood depth mapping in street photos with image processing and deep neural networks
BA Kharazi, AH Behzadan - Computers, Environment and Urban Systems, 2021 - Elsevier
Many parts of the world experience severe episodes of flooding every year. In addition to the
high cost of mitigation and damage to property, floods make roads impassable and hamper …
high cost of mitigation and damage to property, floods make roads impassable and hamper …
Probabilistic modeling of cascading failure risk in interdependent channel and road networks in urban flooding
This paper presents a probabilistic model for assessing risk of cascading failures in co-
located road and channel networks. The proposed Bayesian network analysis framework …
located road and channel networks. The proposed Bayesian network analysis framework …
Measuring the topological robustness of transportation networks to disaster-induced failures: A percolation approach
This paper presents a framework that integrates network theory methods into infrastructure
network assessment in order to investigate transportation network robustness from a …
network assessment in order to investigate transportation network robustness from a …
Scenario-based performance assessment of green-grey-blue infrastructure for flood-resilient spatial solution: A case study of Pazhou, Guangzhou, greater Bay area
P Lu, Y Sun, N Steffen - Landscape and Urban Planning, 2023 - Elsevier
Flood resilience has aroused significant interest in coastal areas dealing with a growing
frequency of severe rainstorms caused by climate change and urbanisation. At the core of …
frequency of severe rainstorms caused by climate change and urbanisation. At the core of …
Critical facility accessibility rapid failure early-warning detection and redundancy mapping in urban flooding
Abstract System-wide functionality failure emerges when a collection of components
collapse simultaneously. Aiming to detect the early warning of the rapid critical facilities …
collapse simultaneously. Aiming to detect the early warning of the rapid critical facilities …
Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness
Smart resilience is the beneficial result of the collision course of the fields of data science
and urban resilience to flooding. The objective of this study is to propose and demonstrate a …
and urban resilience to flooding. The objective of this study is to propose and demonstrate a …
A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features
H Farahmand, Y Xu, A Mostafavi - Scientific Reports, 2023 - nature.com
Flood nowcasting refers to near-future prediction of flood status as an extreme weather
event unfolds to enhance situational awareness. The objective of this study was to adopt …
event unfolds to enhance situational awareness. The objective of this study was to adopt …