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 …
Impact of extreme weather events on urban human flow: A perspective from location-based service data
This study investigates the impact of extreme weather events on urban human flow
disruptions using location-based service data obtained from Baidu Map. Utilizing the 2018 …
disruptions using location-based service data obtained from Baidu Map. Utilizing the 2018 …
Road-reconstruction after multi-locational flooding in multi-agent deep RL with the consideration of human mobility-Case study: Western Japan flooding in 2018
S Joo, Y Ogawa, Y Sekimoto - International Journal of Disaster Risk …, 2022 - Elsevier
Record-breaking heavy rain occurred in Western Japan from June 28 to July 8, 2018. Many
roads in Hiroshima and Okayama Prefecture were disrupted simultaneously. The …
roads in Hiroshima and Okayama Prefecture were disrupted simultaneously. The …
Making evacuation routine behavior: impact of experiencing severe flood damage on recognition and advance evacuation behavior
M Tanaka, M Shimomura - Journal of Disaster Research, 2021 - jstage.jst.go.jp
This study analyzes the impact of experiencing a disaster on subsequent risk recognition
and evacuation behavior using data collated from the interview of victims of the flood and …
and evacuation behavior using data collated from the interview of victims of the flood and …
Generating Diverse Optimal Road Management Plans in Post-Disaster by Applying Envelope Multi-Objective Deep Reinforcement Learning
SH Joo, Y Ogawa, Y Sekimoto - Journal of Disaster Research, 2023 - jstage.jst.go.jp
The authors used a data-driven reinforcement learning model for the post-disaster rapid
recovery of human mobility, considering human-mobility recovery rate, road connectivity …
recovery of human mobility, considering human-mobility recovery rate, road connectivity …
[PDF][PDF] Modelagem hidrológica e hidrodinâmica para avaliação de risco de inundações na região superior da bacia do rio Jundiaí
DDEJ SIQUEIRA - repositorio.unicamp.br
A região superior da bacia hidrográfica do Rio Jundiaí, localizada na Unidade de
Gerenciamento de Recursos Hídricos–Piracicaba, Capivari e Jundiaí, drena uma área de …
Gerenciamento de Recursos Hídricos–Piracicaba, Capivari e Jundiaí, drena uma área de …
複数の位置情報データを利用した令和2 年7 月豪雨熊本県人吉市の避難と支援の実態把握
菊池謙汰， 円山琢也 - 土木学会論文集, 2023 - jstage.jst.go.jp
抄録 熊本県の球磨村や人吉市等に甚大な浸水被害を与えた令和 2 年 7 月豪雨は,
コロナ禍という状況下のため従来と異なった避難や支援活動となった. 本研究では …
コロナ禍という状況下のため従来と異なった避難や支援活動となった. 本研究では …
[引用][C] Reward architecture in deep reinforcement learning for optimal road management plan post disaster: application of envelope multi-objective optimization …
J Soo-hyun, Y Ogawa, S Yoshihide