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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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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