Predicting human mobility flows in response to extreme urban floods: A hybrid deep learning model considering spatial heterogeneity-Reference-Cited by-同舟云学术

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Predicting human mobility flows in response to extreme urban floods: A hybrid deep learning model considering spatial heterogeneity

Published:2024-10 Issue: Volume:113 Page:102160
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Tang Junqing,Wang Jing,Li Jiaying,Zhao Pengjun,Lyu Wei,Zhai Wei,Yuan Li,Wan Li,Yang Chenyu

Publisher

Elsevier BV

Reference71 articles.

1. The scales of human mobility;Alessandretti;Nature,2020

2. The box-Jenkins approach to time series analysis;Anderson;RAIRO - Operations Research,1977

3. Modelling mobility in disaster area scenarios;Aschenbruck,2007

4. Human mobility: Models and applications;Barbosa;Physics Reports,2018

5. A conceptual digital twin framework for city logistics;Belfadel;Computers, Environment and Urban Systems,2023

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