A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
How Various Natural Disasters Impact Urban Human Mobility Patterns: A Comparative Analysis Based on Geotagged Photos Taken in Tokyo
This study analyzed the impacts of various extreme natural events that affected Tokyo’s human movement patterns between 2008 and 2019 based on geotagged photos shared online. First, we selected six disasters of different types according to severity, damage, and photo count. Next, we delineated three phases representing steady and perturbed conditions (before, during, and after) for each extreme event based on relevant weather measurements. We then analyzed human mobility patterns via two indicators: displacement and mean squared displacement (MSD). A transfer-learning-based convolutional neural network (CNN) model was also developed to classify the photos according to whether they were taken indoors or outdoors. Thus, we analyzed the characteristics of people’s trips within and between the two environments. The results show that, while all extreme events perturbed mobility patterns to different degrees, these patterns mostly followed a truncated power-law distribution during steady and unsteady states.
How Various Natural Disasters Impact Urban Human Mobility Patterns: A Comparative Analysis Based on Geotagged Photos Taken in Tokyo
This study analyzed the impacts of various extreme natural events that affected Tokyo’s human movement patterns between 2008 and 2019 based on geotagged photos shared online. First, we selected six disasters of different types according to severity, damage, and photo count. Next, we delineated three phases representing steady and perturbed conditions (before, during, and after) for each extreme event based on relevant weather measurements. We then analyzed human mobility patterns via two indicators: displacement and mean squared displacement (MSD). A transfer-learning-based convolutional neural network (CNN) model was also developed to classify the photos according to whether they were taken indoors or outdoors. Thus, we analyzed the characteristics of people’s trips within and between the two environments. The results show that, while all extreme events perturbed mobility patterns to different degrees, these patterns mostly followed a truncated power-law distribution during steady and unsteady states.
How Various Natural Disasters Impact Urban Human Mobility Patterns: A Comparative Analysis Based on Geotagged Photos Taken in Tokyo
The Urban Book Series
Geertman, S. C. M. (editor) / Pettit, Christopher (editor) / Goodspeed, Robert (editor) / Staffans, Aija (editor) / Derdouri, Ahmed (author) / Osaragi, Toshihiro (author)
2021-07-16
21 pages
Article/Chapter (Book)
Electronic Resource
English
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