Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
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 …

Zooming into mobility to understand cities: A review of mobility-driven urban studies

R Wang, X Zhang, N Li - Cities, 2022 - Elsevier
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 …

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 …

Urban human mobility: Data-driven modeling and prediction

J Wang, X Kong, F Xia, L Sun - ACM SIGKDD explorations newsletter, 2019 - dl.acm.org
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 …

Combining geographical and social influences with deep learning for personalized point-of-interest recommendation

J Guo, W Zhang, W Fan, W Li - Journal of Management Information …, 2018 - Taylor & Francis
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 …

Big data insight on global mobility during the Covid-19 pandemic lockdown

A Sadowski, Z Galar, R Walasek, G Zimon… - Journal of big Data, 2021 - Springer
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 …

[PDF][PDF] Deep learning for human mobility: a survey on data and models

M Luca, G Barlacchi, B Lepri, L Pappalardo - arXiv preprint arXiv …, 2020 - iris.cnr.it
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 …

Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach

A Rahimi-Golkhandan, B Aslani, S Mohebbi - Socio-Economic Planning …, 2022 - Elsevier
Infrastructures are interdependent systems and their interdependency can influence their
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 …