Development of a Cost-Optimized Model for Evacuation Route Planning for Tsunamis

Kannangara, K.K.C.L.; Adikariwattage, Varuna; Siriwardana, Chandana

doi:10.1109/mercon55799.2022.9906279

Cited by 1 publication

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These methods are primarily used to estimate the damage due to a disaster event quantitatively [18]. This knowledge of the estimated damage can be used in different applications, such as assessing the feasibility of disaster resilience, mitigation and adaptation measures, evidence-based planning for disaster response and resource allocation, and decision-making and policy development [18][19][20][21][22]. During the disaster damage estimation process, the probability of occurrence of a hazard with a certain magnitude is obtained from hazard curves.…”

Section: Introductionmentioning

confidence: 99%

Systematic Mapping of Global Research on Disaster Damage Estimation for Buildings: A Machine Learning-Aided Study

Rajapaksha,

Siriwardana,

Ruparathna

et al. 2024

Buildings

View full text Add to dashboard Cite

Research on disaster damage estimation for buildings has gained extensive attention due to the increased number of disastrous events, facilitating risk assessment, the effective integration of disaster resilience measures, and policy development. A systematic mapping study has been conducted, focusing on disaster damage estimation studies to identify trends, relationships, and gaps in this large and exponentially growing subject area. A novel approach using machine learning algorithms to screen, categorise, and map the articles was adopted to mitigate the constraints of manual handling. Out of 8608 articles from major scientific databases, the most relevant 2186 were used in the analysis. These articles were classified based on the hazard, geographical location, damage function properties, and building properties. Key observations reveal an emerging trend in publications, with most studies concentrated in developed and severely disaster-affected countries in America, Europe, and Asia. A significant portion (68%) of the relevant articles focus on earthquakes. However, as the key research opportunities, a notable research gap exists in studies focusing on the African and South American continents despite the significant damage caused by disasters there. Additionally, studies on floods, hurricanes, and tsunamis are minimal compared to those on earthquakes. Further trends and relationships in current studies were analysed to convey insights from the literature, identifying research gaps in terms of hazards, geographical locations, and other relevant parameters. These insights aim to effectively guide future research in disaster damage estimation for buildings.

show abstract