Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …

Big data has an important influence on safety management in various fields where its
applications are becoming more prevalent. The analysis results of big data have become an …

Fire risk mapping–mapping the probability of fire occurrence and spread–is essential for pre-
fire management as well as for efficient firefighting efforts. Most fire risk maps are generated …

In the big data era, it is practical and generalizable to use social media data for decision-
making. Thus, determining how to effectively use this kind of data to support large-scale …

In an era where technological advancements are reshaping the landscape of resource
management, this paper delves into the transformative role of predictive analytics in the …

Social media has been increasingly utilized to spread breaking news and risk
communications during disasters of all magnitudes. Unfortunately, due to the unmoderated …

The complexes of historic timber-structure buildings are extremely complicated and have
various fire threats. A targeted approach to fire risk assessment of historic timber structures is …

Building fires may cause enormous property loss. Disaster relief organizations and post-
disaster recovery efforts benefit from the accurate and interpretable prediction of property …

Risk‐informed asset management is key to maintaining optimal performance and efficiency
of urban sewer systems. Although sewer system failures are spatiotemporal in nature …

The effects of data governance (as a means to maximize big data value creation in fire risk
management) performance on fire risk was analyzed based on multi-source statistical data …