Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
A survey on deep learning for human mobility
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …
such as disease spreading, urban planning, well-being, pollution, and more. The …
Zooming into mobility to understand cities: A review of mobility-driven urban studies
Emerging big datasets about human mobility provide new and powerful ways of studying
cities and addressing various urban issues. However, human mobility has usually been …
cities and addressing various urban issues. However, human mobility has usually been …
Human mobility data and analysis for urban resilience: A systematic review
M Haraguchi, A Nishino, A Kodaka… - … and Planning B …, 2022 - journals.sagepub.com
The impacts of disasters are increasing due to climate change and unplanned urbanization.
Big and open data offer considerable potential for analyzing and predicting human mobility …
Big and open data offer considerable potential for analyzing and predicting human mobility …
Urban human mobility: Data-driven modeling and prediction
Human mobility is a multidisciplinary field of physics and computer science and has drawn a
lot of attentions in recent years. Some representative models and prediction approaches …
lot of attentions in recent years. Some representative models and prediction approaches …
Combining geographical and social influences with deep learning for personalized point-of-interest recommendation
Personalized point-of-interest (POI) recommendation is important to location-based social
networks (LBSNs) for helping users to explore new places and for helping third-party …
networks (LBSNs) for helping users to explore new places and for helping third-party …
Big data insight on global mobility during the Covid-19 pandemic lockdown
The Covid-19 pandemic that began in the city of Wuhan in China has caused a huge
number of deaths worldwide. Countries have introduced spatial restrictions on movement …
number of deaths worldwide. Countries have introduced spatial restrictions on movement …
[PDF][PDF] Deep learning for human mobility: a survey on data and models
Urban population is increasing strikingly and human mobility is becoming more complex
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …
Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach
Infrastructures are interdependent systems and their interdependency can influence their
resilience to routine failures and extreme events. Even though infrastructure resilience has …
resilience to routine failures and extreme events. Even though infrastructure resilience has …
Modeling and predicting evacuation flows during hurricane Irma
L Hong, V Frias-Martinez - EPJ Data Science, 2020 - epjds.epj.org
Evacuations are a common practice to mitigate the potential risks and damages made by
natural disasters. However, without proper coordination and management, evacuations can …
natural disasters. However, without proper coordination and management, evacuations can …