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Your search keyword '"Kajitani, Yoshio"' showing total 94 results
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94 results on '"Kajitani, Yoshio"'

5. Functional Fragility Curves for Production Capacity

Author

Nakano, Kazuyoshi, Kajitani, Yoshio, Tatano, Hirokazu, Okada, Norio, Editor-in-Chief, Amendola, Aniello, Series Editor, Rose, Adam, Series Editor, Cruz, Ana Maria, Series Editor, Tatano, Hirokazu, editor, and Kajitani, Yoshio, editor

Published
2022
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6. Conclusions

Author

Tatano, Hirokazu, Kajitani, Yoshio, Okada, Norio, Editor-in-Chief, Amendola, Aniello, Series Editor, Rose, Adam, Series Editor, Cruz, Ana Maria, Series Editor, Tatano, Hirokazu, editor, and Kajitani, Yoshio, editor

Published
2022
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10. Long‐term flood exposure assessment using satellite‐based land use change detection and inundation simulation: A 30‐year case study of the Bangkok Metropolitan Region.

Author

Darnkachatarn, Siriporn and Kajitani, Yoshio

Subjects
LAND cover, LANDSAT satellites, REMOTE sensing, LAND use, TIME series analysis, FLOOD risk
Abstract

The Bangkok Metropolitan Region (BMR), located in the Chao Phraya River basin delta, is particularly vulnerable to floods, with susceptibility heightened by geographical aspects and rapid urbanization. This study aimed to assess spatiotemporal flood exposure and allow proper flood‐risk recognition among all stakeholders through a three‐phase flood exposure assessment. First, land use and land cover (LULC) changes were identified based on a 30‐year Landsat time series. Second, built‐up areas that overlapped with past flood inundation maps were designated as flood exposure areas. Third, a rainfall‐runoff inundation (RRI) model simulated the 2011 Thailand Flood, the largest on record, by analyzing inundation depth implications across three decades. The findings revealed a dramatic increase in the use of built‐up areas and the associated flood exposure. In 1992, built‐up areas accounted for approximately 20% of the total area, sharply increasing to nearly 45% by 2022, according to the LULC classification. The flood exposure increased from 648.83 km2 in 1992 to 1681.26 km2 by 2022, demonstrating a linear trend. Notably, the catastrophic 2011 flood did not inhibit urbanization in flood‐prone areas, highlighting the need for robust policies, such as the segmentation of flood‐risk zones, to mitigate future exposure in the region. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Risk Assessment of Landslide Disaster for Detecting Isolated Communities in Wakayama Prefecture After Nankai Trough Earthquake

Author

Hozumi, Katsuki, Sakai, Hisakazu, Kajitani, Yoshio, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Hazarika, Hemanta, editor, Madabhushi, Gopal Santana Phani, editor, Yasuhara, Kazuya, editor, and Bergado, Dennes T., editor

Published
2021
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19. Advantages of the Regional and Sectoral Disaggregation of a Spatial Computable General Equilibrium Model for the Economic Impact Analysis of Natural Disasters

Author

Kajitani, Yoshio, Tatano, Hirokazu, Fischer, Manfred M., Series Editor, Thill, Jean-Claude, Series Editor, van Dijk, Jouke, Series Editor, Westlund, Hans, Series Editor, Hewings, Geoffrey J.D., Advisory Editor, Nijkamp, Peter, Advisory Editor, Snickars, Folke, Advisory Editor, Okuyama, Yasuhide, editor, and Rose, Adam, editor

Published
2019
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24. Modeling economic impacts of mobility restriction policy during the COVID‐19 pandemic.

Author

Kajitani, Yoshio, Yamano, Norihiko, and Chang, Stephanie E.

Abstract

The economic impacts of pandemics can be enormous. However, lockdown and human mobility restrictions are effective policies for containing the spread of the disease. This study proposes a framework for assessing the economic impact of varying degrees of movement restrictions and examines the effectiveness of this framework in a case study examining COVID‐19 control measures in Japan. First, mobile network operators data and total employment statistics on a 500‐meter grid scale are used to determine the status of mobility restrictions and impacts on consumption in 30 industrial sectors. Next, the economic impacts are assessed using a spatial computable general equilibrium (CGE) model, proven to yield valuable insights into the total economic impacts of natural disasters. In sectors that implement telework and e‐commerce—wholesale/retail, finance/insurance, and communication sectors—estimates of production and GDP are obtained that are close to the actual figures. The current case study is limited to Japan, but similar analysis can be conducted by using the CGE model for each country and open mobility data. Thus, the framework has potential to serve as an effective tool for assessing trade‐offs between infection risks and economic impacts to inform policy‐making by combining with findings from epidemiology. [ABSTRACT FROM AUTHOR]

Published
2023
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48. Economic Recovery: Enabling Comparative Research on COVID-19 CONVERGE COVID-19 Working Groups for Public Health and Social Science Research: Research Agenda-Setting Paper

Author

Chang, Stephanie E., primary, Brown, Charlotte, additional, Dormady, Noah, additional, Handmer, John, additional, Kajitani, Yoshio, additional, Keating, Adriana, additional, Rose, Adam, additional, Watson, Maria, additional, Wein, Anne, additional, and Yamano, Norihiko, additional

Published
2020
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