A Hybrid Population Distribution Prediction Approach Integrating LSTM and CA Models with Micro-Spatiotemporal Granularity: A Case Study of Chongming District, Shanghai

A Hybrid Population Distribution Prediction Approach Integrating LSTM and CA Models with Micro-Spatiotemporal Granularity: A Case Study of Chongming District, Shanghai

Studying population prediction under micro-spatiotemporal granularity is of great significance for modern and refined urban traffic management and emergency response to disasters. Existing population studies are mostly based on census and statistical yearbook data due to the limitation of data colle...

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Bibliographic Details
Main Authors: Pengyuan Wang, Xiao Huang, Joseph Mango, Di Zhang, Dong Xu, Xiang Li
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
population distribution prediction
micro-spatiotemporal granularity
long short-term memory (LSTM)
cellular automata (CA)
integrated model
Online Access:https://www.mdpi.com/2220-9964/10/8/544

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https://www.mdpi.com/2220-9964/10/8/544

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