Points of Interest (POI): A commentary on the state of the art, challenges, and prospects for the future
In this commentary, we describe the current state of the art of points of interest (POIs) as
digital, spatial datasets, both in terms of their quality and affordings, and how they are used …
digital, spatial datasets, both in terms of their quality and affordings, and how they are used …
Community-scale big data reveals disparate impacts of the Texas winter storm of 2021 and its managed power outage
CC Lee, M Maron, A Mostafavi - Humanities and Social Sciences …, 2022 - nature.com
Aggregated community-scale data could be harnessed to provide insights into the disparate
impacts of managed power outages, burst pipes, and food inaccessibility during extreme …
impacts of managed power outages, burst pipes, and food inaccessibility during extreme …
Quantifying human mobility resilience to the COVID-19 pandemic: A case study of Beijing, China
Human mobility, as a fundamental requirement of everyday life, has been most directly
impacted during the COVID-19 pandemic. Existing studies have revealed its ensuing …
impacted during the COVID-19 pandemic. Existing studies have revealed its ensuing …
Post-disaster recovery policy assessment of urban socio-physical systems
The post-disaster recovery system is composed of the complex interplay between physical
and social infrastructures. Despite the rise of coupled physical and social post-disaster …
and social infrastructures. Despite the rise of coupled physical and social post-disaster …
COVID-19 and campus users: A longitudinal and place-based study of university mobilities in Texas
The COVID-19 pandemic has disrupted people's daily routines, including travel behaviors,
social interactions, and work-related activities. However, the potential impacts of COVID-19 …
social interactions, and work-related activities. However, the potential impacts of COVID-19 …
Research progress and framework construction of urban resilience computational simulation
X Han, L Wang, D Xu, H Wei, X Zhang, X Zhang - Sustainability, 2022 - mdpi.com
Simulating the dynamic process of urban resilience and analyzing the mechanism of
resilience-influencing factors are of great significance to improve the intelligent decision …
resilience-influencing factors are of great significance to improve the intelligent decision …
Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness
Smart resilience is the beneficial result of the collision course of the fields of data science
and urban resilience to flooding. The objective of this study is to propose and demonstrate a …
and urban resilience to flooding. The objective of this study is to propose and demonstrate a …
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding
The objective of this study is to predict the near-future flooding status of road segments
based on their own and adjacent road segments' current status through the use of deep …
based on their own and adjacent road segments' current status through the use of deep …
Metro travel and perceived COVID-19 infection risks: A case study of Hong Kong
The COVID-19 pandemic has exerted unprecedented impacts on travel behaviors because
of people's increased health precautions and the presence of various COVID-19 …
of people's increased health precautions and the presence of various COVID-19 …
Examining income segregation within activity spaces under natural disaster using dynamic mobility network
Z Wei, S Mukherjee - Sustainable Cities and Society, 2023 - Elsevier
Rising income segregation perpetuates socioeconomic inequalities, preventing us from
developing more sustainable environments. In the literature, little is known about the …
developing more sustainable environments. In the literature, little is known about the …