Understanding the bias of mobile location data across spatial scales and over time: a comprehensive analysis of SafeGraph data in the United States
Mobile location data has emerged as a valuable data source for studying human mobility
patterns in various contexts, including virus spreading, urban planning, and hazard …
patterns in various contexts, including virus spreading, urban planning, and hazard …
Human mobility and the infectious disease transmission: a systematic review
Recent decades have witnessed several infectious disease outbreaks, including the
coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on societies …
coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on societies …
Spatial model for predictive recovery monitoring based on hazard, built environment, and population features and their spillover effects
FI Patrascu, A Mostafavi - Environment and Planning B …, 2024 - journals.sagepub.com
The ability to proactively monitor the trajectory of post-disaster recovery is valuable for
resource allocation prioritization. Existing knowledge, however, lacks models and insights …
resource allocation prioritization. Existing knowledge, however, lacks models and insights …
Latent sub-structural resilience mechanisms in temporal human mobility networks during urban flooding
AA Rajput, A Mostafavi - Scientific Reports, 2023 - nature.com
In studying resilience in temporal human networks, relying solely on global network
measures would be inadequate; latent sub-structural network mechanisms need to be …
measures would be inadequate; latent sub-structural network mechanisms need to be …
[HTML][HTML] Situational-aware multi-graph convolutional recurrent network (sa-mgcrn) for travel demand forecasting during wildfires
Natural hazards, such as wildfires, pose a significant threat to communities worldwide. Real-
time forecasting of travel demand during wildfire evacuations is crucial for emergency …
time forecasting of travel demand during wildfire evacuations is crucial for emergency …
Specifying evacuation return and home-switch stability during short-term disaster recovery using location-based data
CC Lee, C Chou, A Mostafavi - Scientific reports, 2022 - nature.com
The objectives of this study are:(1) to specify evacuation return and home-switch stability as
two critical milestones of short-term recovery during and in the aftermath of disasters; and (2) …
two critical milestones of short-term recovery during and in the aftermath of disasters; and (2) …
Cities, COVID-19, and counting
T Vinodrai, S Brail - Big Data & Society, 2023 - journals.sagepub.com
The COVID-19 pandemic had immediate and potentially long-lasting impacts on cities. Yet,
the ability to assess, monitor, and analyze the wide-ranging effects of the pandemic has …
the ability to assess, monitor, and analyze the wide-ranging effects of the pandemic has …
Hazard exposure heterophily in socio-spatial networks contributes to post-disaster recovery in low-income populations
Despite recognition of the influence of socio-spatial networks on disaster recovery, limited
data-driven evidence exists regarding the nature of this relationship. To address this …
data-driven evidence exists regarding the nature of this relationship. To address this …
The emergence of urban heat traps and human mobility in 20 US cities
Understanding the relationship between spatial structures of cities and environmental
hazard exposures is essential for urban health and sustainability planning. However, a …
hazard exposures is essential for urban health and sustainability planning. However, a …
Emergence of urban heat traps from the intersection of human mobility and heat hazard exposure in cities
Understanding the relationship between spatial structures of cities and environmental
hazard exposures (such as urban heat) is essential for urban health and sustainability …
hazard exposures (such as urban heat) is essential for urban health and sustainability …