Informing Urban Flood Risk Adaptation by Integrating Human Mobility Big Data During Heavy Precipitation
Understanding the impact of heavy precipitation on human mobility is critical for finer-scale
urban flood risk assessment and achieving sustainable development goals# 11 to build …
urban flood risk assessment and achieving sustainable development goals# 11 to build …
Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features
K Yin, A Mostafavi - arXiv preprint arXiv:2311.01661, 2023 - arxiv.org
Community resilience is a complex and muti-faceted phenomenon that emerges from
complex and nonlinear interactions among different socio-technical systems and their …
complex and nonlinear interactions among different socio-technical systems and their …
Do human mobility network analyses produced from different location-based data sources yield similar results across scales?
The burgeoning availability of sensing technology and location-based data is driving the
expansion of analysis of human mobility networks in science and engineering research, as …
expansion of analysis of human mobility networks in science and engineering research, as …
Returners and explorers dichotomy in the face of natural hazards
Understanding human mobility patterns amid natural hazards is crucial for enhancing urban
emergency responses and rescue operations. Existing research on human mobility has …
emergency responses and rescue operations. Existing research on human mobility has …
Homophilic and heterophilic characteristics shaping community formation in human mobility networks during extreme weather response
Community formation in socio-spatial human networks is one of the important mechanisms
for ameliorating hazard impacts of extreme weather events. Research is scarce regarding …
for ameliorating hazard impacts of extreme weather events. Research is scarce regarding …
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation
Generating realistic human flows across regions is essential for our understanding of urban
structures and population activity patterns, enabling important applications in the fields of …
structures and population activity patterns, enabling important applications in the fields of …
Dissecting Resilience Triangle: Unravelling Resilience Curve Archetypes and Properties in Human Systems Facing Weather Hazards
CW Hsu, A Mostafavi - arXiv preprint arXiv:2310.01313, 2023 - arxiv.org
Resilience curves have been the primary approach for conceptualizing and representing the
resilience behavior of communities during hazard events; however, the use of resilience …
resilience behavior of communities during hazard events; however, the use of resilience …
Enhancing Road Safety Decision-Making through Analysis of Youth Survey Data: A Descriptive Statistical Approach
Z Bohdidi, EK Cherif, H El Azhari, A Bnoussaad… - Safety, 2024 - mdpi.com
Unsafe roads have posed a significant threat to public health, economic stability, societal
well-being, and national interests for numerous decades. Road traffic accidents constitute …
well-being, and national interests for numerous decades. Road traffic accidents constitute …
Percolation transition of k-frequent destinations network for urban mobility
W Zhang, F Jia, J Wang, Y Liu, G Xiu - arXiv preprint arXiv:2406.15185, 2024 - arxiv.org
Urban spatial interactions are a complex aggregation of routine visits and random
explorations by individuals. The inherent uncertainty of these random visitations poses …
explorations by individuals. The inherent uncertainty of these random visitations poses …
Unraveling Extreme Weather Impacts on Air Transportation and Passenger Delays using Location-based Data
Extreme weather poses significant threats to air-transportation systems, causing flight
rerouting and cancelations, as well as passenger travel delays. With the growing frequency …
rerouting and cancelations, as well as passenger travel delays. With the growing frequency …