Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021

Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021

Spatiotemporal evaluation of human mobility is crucial to deepen and broaden the understanding of drivers and mechanisms behind urbanization. In this study, daytime human mobility was quantified based on the inflow and outflow of population in 500 × 500 m spatial grids using a processed version of t...

Full description

Saved in:
Bibliographic Details
Main Authors: Thanakrit Yoongsomporn, Alvin Christopher Galang Varquez, Sunkyung Choi, Makoto Okumura, Shinya Hanaoka, Manabu Kanda
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Urban Science
Subjects:
human mobility
mobile statistics data
machine learning
COVID-19
Online Access:https://www.mdpi.com/2413-8851/9/2/50
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2413-8851/9/2/50

Similar Items