Drought is a common and costly natural disaster with broad social, economic, and
environmental impacts. Machine learning (ML) has been widely applied in scientific …

Scenario planning is a powerful tool for cities to navigate uncertainties and mitigate the
impacts of adverse scenarios by projecting future outcomes based on present-day …

Disasters can have devastating impacts on communities and economies, underscoring the
urgent need for effective strategic disaster risk management (DRM). Although Artificial …

Quantifying socio-spatial disparities in accessibility to urban facilities is a crucial step toward
achieving the Sustainable Development Goals (SDGs) of universal access to these facilities …

This study is dedicated to identifying and understanding regional vulnerabilities within
countries, focusing particularly on those susceptible to frequent and devastating disasters …

The southern coastal states of the United States are susceptible to extreme weather and
climate events. With growing move-in and-out older populations in the region, health …

Resilience, denoting the capacity to swiftly recover to a state of normalcy subsequent to the
occurrence of a disaster, constitutes a multifaceted phenomenon necessitating in-depth …

Climatic changes pose significant risks to the demand stability of coastal community-based
small businesses (CSBs) due to the inherent vulnerability of their catchment areas. Given …

Existing Spatial Interaction Models (SIMs) are limited in capturing the complex and context-
aware interactions between business clusters and trade areas. To address the limitation, we …

Communities in the southern coastal United States are facing increasing threats from
extreme weather and climate events (EWCEs). These events can cause physical damage to …