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Understanding changes in mobility patterns during extreme weather is crucial for urban resilience. Existing studies often overlook the transitions between different transportation modes. This study develops a framework that measures the spatiotemporal anomalies of mobilities and builds transition paths across multiple modes to reveal how people adapt to extreme weather.

Increasing exposure to heatwaves threatens public health, challenging various socioeconomic sectors in the coming decades. Prior …

Studying the impacts of factors that may vary spatially and temporally as infectious disease progresses is critical for the prediction and intervention of COVID-19. This study aimed to quantitatively assess the spatiotemporal impacts of socio-demographic and mobility-related factors to predict the spread of COVID-19.

The COVID-19 pandemic continues to threaten global public health. Reliable assessment of community vulnerability is therefore essential to fighting and mitigating the pandemic. This study presents a framework that considers the roles of internal and external factors, including the components of social vulnerability, exposure, and sensitivity, to comprehensively and accurately assess community vulnerability to the pandemic.

Social media data have been widely used to enrich human-centric information for situational awareness and disaster assessment. Owing to …

Research on the realistic and comprehensive identification of citywide spatial patterns of economic segregation is valuable for the sustainable development of cities. The consideration of human activities in segregation research inspires us to develop an alternative method to contribute to this type of research.

The fine detection of human activity sub-areas of the city is an effective basis for realizing the appropriate city resource allocation …

Social media is important for situational awareness during a disaster. During a disaster, the situation of emergence often changes over …

Fine-grained subjective partitioning of urban space using human activity flows reveals actual human activity spaces with high resolution, which has great implications for the development and validation of planning strategies. This paper presents a new method for fine-grained subjective partitioning of urban space based on the combination of network analysis and human interactions from social media.

Rapid estimates of impact areas following large earthquakes constitute the cornerstone of emergency response scenarios. However, …