Abstract
In this study, point data from a phone book was used as geographical information that was regularly updated to obtain insights into changes in the urban industrial structure before and after a disaster. From these data, a quantitative approach was taken for regional trends in the affected areas before and after a disaster. This includes the population before and after a disaster and the demand for mental health support. Local governments also make new city plans for reconstruction; however, issues remain concerning their sustainability. This paper considers the viewpoints of disaster recovery planning, sustainability, and urban resilience while referring to previous studies.
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Acknowledgements
We would like to thank and acknowledge the support from the 2019 Scholarly Scholars Research Grant Program (Leading Initiative for Excellent Young Researchers (LEADER)), which provided support for this research.
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Kawahata, Y. (2020). Analyzing Urban Resilience Using Temporal and Spatial Archive Information Before and After a Disaster – Perspective of SDGs. In: Sato, H., Iwanaga, S., Ishii, A. (eds) Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems. IES 2019. Proceedings in Adaptation, Learning and Optimization, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-37442-6_17
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