Evaluating Regional Flood Disaster Resilience Based on the DROP Model and TOPSIS Method: A Case Study of the Katsushika Ward, Tokyo
Publication: Natural Hazards Review
Volume 23, Issue 3
Abstract
Tokyo is on one hand becoming increasingly vulnerable to flood disasters due to flooding of greater severity and frequency. Tokyo’s vulnerability to flood disasters has increased because of the changes in population structure, outdated infrastructures, an insufficient energy supply, the deterioration of flood control facilities, high-value economic assets, and the weakening of flood control awareness. Therefore, the study of key factors related to flood disaster resilience is important to enhance the flood resilience of the city. This study aims to conduct a systematic analysis of flood resilience regarding ecology, economics, societal effect, infrastructure, and community capacity based on the disaster resilience of place (DROP) model. An indicator system was developed incorporating 20 indicators. The resilience of Katsushika Ward to flood disasters was quantified using collected data, the coefficient of variation, technique for order preference by similarity to an ideal solution (TOPSIS) method, the DROP regional disaster resilience model, and a geographic information system. The results showed that there are deviations in the resilience values of six dimensions, among which the system resilience and social resilience values are relatively weak. However, the highest resilience value lies in eco-environmental resilience and infrastructure, which is of great significance in disaster resilience assessment in terms of the disaster resilience dimension. In order to improve the resilience of the ecological environment, the Katsushika City’s local government needs to not only facilitate the local greening rate and air quality improvement but also properly handle sewage and garbage. It also has responsibility to strengthen the flood prevention capacity of medical facilities, refuge facilities, welfare facilities, and residential buildings so as to enhance infrastructure elasticity. From the distribution point of view, the regions with the strongest and weakest resilience to flood disasters are found in the northwest and southeast regions, respectively. Therefore, it is concluded that there is spatial variability in flood disaster resilience in the northwest, southwest, and east regions. This research could definitively help determine the spatial distribution of flood resistance in a certain area, thereby helping local governments improve their ability to respond to disasters and formulate appropriate plans to improve their resilience.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request (population data, shelter location data, housing-related data).
Acknowledgments
The corresponding author and Lianxiao proposed the topic and spearheaded the data processing and analysis, as well as the writing of the manuscript. Takehiro Morimoto helped in the design, research implementation, analysis, and writing of the manuscript. Tong Siqin and Guo Fei developed the theory and performed the computations. Bao Yuhai encouraged Chang An and Lianxiao in writing of the manuscript and supervised the findings of this work. All authors discussed the results and contributed to the final manuscript.
References
Akagi, N. 2017. “The framework of flood damage prevention in the district of Katsushika.” River Front. 86: 12–16.
Aksha, S. K., and C. T. Emrich. 2020. “Benchmarking community disaster resilience in Nepal.” Int. J. Environ. Res. Public Health 17 (6): 1985. https://doi.org/10.3390/ijerph17061985.
Asprone, D., M. Cavallaro, V. Latora, G. Manfredi, and V. Nicosia. 2014. Urban network resilience analysis in case of earthquakes. London: CRC.
Asprone, D., and G. Manfredi. 2015. “Linking disaster resilience and urban sustainability: A global approach for future cities.” Supplement, Disasters 39 (S1): S96–S111. https://doi.org/10.1111/disa.12106.
Bai, L., C. Xiu, X. Feng, D. Mei, and Z. Wei. 2019. “A comprehensive assessment of urban resilience and its spatial differentiation in China.” World Regional Stud. 28 (6): 77–87. https://doi.org/10.3969/j.issn.1004-9479.2019.06.2018403.
Brown, A., A. Dayal, and C. Rumbaitis Del Rio. 2012. “From practice to theory: Emerging lessons from Asia for building urban climate change resilience.” Environ. Urban 24 (2): 531–556. https://doi.org/10.1177/0956247812456490.
Bruneau, M., S. E. Chang, R. T. Eguchi, G. C. Lee, T. D. O’Rourke, A. M. Reinhorn, M. Shinozuka, K. Tierney, W. A. Wallace, and D. Von Winterfeldt. 2003. “A frame-work to quantitatively assess and enhance the seismic resilience of communities.” Earthquake Spectra 19 (4): 733–752. https://doi.org/10.1193/1.1623497.
Bruneau, M., A. Filiatrault, G. Lee, T. O’Rourke, A. Reinhorn, and M. Shinozuka. 2005. White paper on the SDR grand challenges for disaster reduction. Buffalo, NY: Multidisciplinary Center for Earthquake Engineering Research.
Cabinet Office. 2019. Main contents of revision of the damage certification standard operation guideline for houses related to disasters. London: Cabinet Office.
Cabinet Secretariat National Land Development Promotion Office. 2019. Strategic politics: Related to Tokyo super concentrated risk and countermeasure. Tokyo: Cabinet Secretariat National Land Development Promotion Office.
Cai, J. M., H. Guo, and D. G. Wang. 2012. “Review on the resilient city research overseas.” Progress Geogr. 31 (10): 1245–1255. https://doi.org/10.11820/dlkxjz.2012.10.001.
Chen, J. 2019. “Research on the development level of open economy of cities in Jiangsu Province—TOPSIS comprehensive evaluation model based on entropy method.” J. Nanjing Inst. Technol. 19 (3): 40–45. https://doi.org/10.13960/j.issn.2096-238X.2019.03.008.
Chen, N., H. Xiang, Q. Ye, and X. Zhu. 2016. “An AHP–based approach for evaluation index system of resilience city.” J. Hunan Univ. 43 (7): 146–150. https://doi.org/10.3969/j.issn.1674-2974.2016.07.020.
City Resilience Index. 2014. City resilience framework. New York: The Rockefeller Foundation and ARUP.
Cohen, O., D. Leykin, M. Lahad, A. Goldberg, and L. Aharonson-Daniel. 2013. “The conjoint community resiliency assessment measure as a baseline for profiling and predicting community resilience for emergencies.” Technol. Forecasting Social Change 80 (9): 1732–1741. https://doi.org/10.1016/j.techfore.2012.12.009.
Cutter, S. L., L. Barnes, M. Berry, C. Burton, E. Evans, E. Tate, and J. Webb. 2008. “A place–based model for understanding community resilience to natural disasters.” Global Environ. Change 18 (4): 598–606. https://doi.org/10.1016/j.gloenvcha.2008.07.013.
Deng, S. 2018. “Study on the rain and waterlogging resilience measurement of urban community under the background of climate change: A case study of Jishan community in Nanjing city.” Ph.D. dissertation, Management Science and Engineering, Dalian Univ. of Technology.
Department of Economic and Social Affairs, Population Division. 2014. World urbanization prospects: The 2014 revision highlights. New York: United Nations.
Djalante, R., and F. Thomalla. 2011. “Community resilience to natural hazards and climate change: A review of definitions and operational frameworks.” Asian J. Environ. Disaster Manage. 3 (3): 339–355. https://doi.org/10.3850/S1793924011000952.
Grimm, G. W., and T. Denk. 2008. “ITS evolution in Platanus (Platanaceae): Homoeologues, pseudogenes and ancient hybridization.” Ann. Bot. 101 (3): 403–419. https://doi.org/10.1093/aob/mcm305.
Holling, C. S. 1973. “Resilience and stability of ecological systems.” Ann. Rev. Ecol. Syst. 4 (1): 1–23. https://doi.org/10.1146/annurev.es.04.110173.000245.
Holling, C. S. 1996. Engineering resilience versus ecological resilience: Engineering within ecological constraints. Washington, DC: National Academy.
Holling, C. S., and L. H. Gunderson. 1995. Barriers and bridges to the renewal of ecosystems and institutions. New York: Columbia Univ.
Honing, C. S., and L. H. Gunderson. 2002. Panarchy: Understanding transformations in human and natural systems. Washington, DC: Island.
Hou, Y. 2018. “Evaluation index system of urban disaster prevention park resilience.” Master’s thesis dissertation, Administration Management, Dalian Univ. of Technology.
IPCC (Intergovernmental Panel on Climate Change). 2014. Climate change 2014 impacts, adaptation and vulnerability: Regional aspects. Cambridge, UK: Cambridge Univ.
Jia, C. 2019. “Research on urban disaster resilience and assessment for disaster prevention and mitigation.” Master’s thesis dissertation, Management Science and Engineering, Dalian Univ. of Technology.
Joerin, J., R. Shaw, Y. Takeuchi, and R. Krishnamurthy. 2014. “The adoption of a climate disaster resilience index in Chennai, India.” Disasters 38 (3): 540–561. https://doi.org/10.1111/disa.12058.
Joerin, J., R. Shaw, Y. Takeuchi, and R. Krishnamuthy. 2012. “Assessing community resilience to climate-related disasters in Chennai, India.” Int. J. Disaster Risk Reduct. 1 (Oct): 44–54. https://doi.org/10.1016/j.ijdrr.2012.05.006.
Karamouz, M., Z. Zahmatkesh, and S. Nazif. 2014. “Quantifying resilience to coastal flood events: A case study of New York City.” In Proc., World Environmental and Water Resources Congress, 911–923. Reston, VA: ASCE.
Katsushika Ward Office. 2010a. 13th Katsushika ward public opinion survey report. Tokyo: Katsushika Ward Office.
Katsushika Ward Office. 2010b. Regional issues of “My town Katsushika”—Initiatives and evaluation of the first plan. Tokyo: Katsushika Ward Office.
Katsushika Ward Office. 2011. Katsushika ward residential basic plan. Tokyo: Katsushika Ward Office.
Katsushika Ward Office. 2015a. Around Yotsugi station district fireproof building block maintenance district planning. Tokyo: Katsushika Ward Office.
Katsushika Ward Office. 2015b. Katsushika ward statistics 59th. Tokyo: Katsushika Ward Office.
Katsushika Ward Office. 2016a. Around Horikiri 2 chome and 4 chome city fireproof building block maintenance District planning. Tokyo: Katsushika Ward Office.
Katsushika Ward Office. 2016b. Katsushika ward statistics 60th. Tokyo: Katsushika Ward Office.
Katsushika Ward Office. 2017. “Katsushika ward Arakawa flood disaster map.” Accessed December 5, 2019. https://www.city.katsushika.lg.jp/.
Kundzewicz, Z. W., et al. 2014. “Flood risk and climate change, global and regional perspectives.” Hydrol. Sci. J. 59 (1): 1–28. https://doi.org/10.1080/02626667.2013.857411.
Kusumastuti, R. D., Z. A. Husodo, L. Suardi, and D. N. Danarsari. 2014. “Developing a resilience index towards natural disasters in Indonesia.” Int. J. Disaster Risk Reduct. 10 (Part A): 327–340. https://doi.org/10.1016/j.ijdrr.2014.10.007.
Li, W., X. Chu, L. Zhang, and Y. Wang. 2010. “An empirical analysis and the relative evaluation of classes based on the combined entropy weight TOPSIS method.” Chin. J. Health Stat. 27: 528–530. https://doi.org/10.3969/j.issn.1002-3674.2010.05.026.
Li, Y., and G. Zhai. 2017. “Urban disaster resilience assessment and promotion in China.” Planners 33 (8): 5–11.
Liao, G., J. Lin, and Y. Wang. 2015. “A theory on urban resilience to floods—A basis for alternative planning practices.” Urban Plann. Int. 2: 12.
Lin, Q. 2016. “Research on the hazard assessment of area landslide: Taking Zhongxian of Chongqing as example.” Master’s thesis, Dept. of Geography, Chongqing Jiaotong Univ.
Ling, Z., G. Zhai, and H. Wu. 2017. “Evaluation and promotion of rural community resilience in China: A case study of ‘6.23’ Funing tornado disaster.” Urbanism Archit. 254: 12–18.
Ma, C. 2015. “Assessment of social vulnerability to natural disasters in Ji’nan city based on TOPSIS model.” Ph.D. dissertation, Dept. of Geography, Shandong Normal Univ. https://doi.org/10.7666/d.D695859.
Mavhura, E., T. Manyangadze, and K. R. Aryal. 2021. “A composite inherent resilience index for Zimbabwe: An adaptation of the disaster resilience of place model.” Int. J. Disaster Risk Reduct. 57 (Apr): 102152. https://doi.org/10.1016/j.ijdrr.2021.102152.
Meng, H., Q. Shen, and H. Ci. 2019. “Characteristics and trends of resilient city research abroad—Bibliometric analysis based on CiteSpace and VOSviewer.” Housing Sci. 2019 (11): 1–8.
MLIT (Ministry of Land, Infrastructure, Transport and Tourism). 2015a. “Current condition and subject of the Arakawa.” Accessed April 29, 2022. http://www.ktr.mlit.go.jp/ktr_content/content/000617361.pdf.
MLIT (Ministry of Land, Infrastructure, Transport and Tourism). 2015b. Making manual of estimated area graph about overflow (version 4). Tokyo: MLIT.
MLIT (Ministry of Land, Infrastructure, Transport and Tourism). 2018. Guidance of the assessment of flood risk. Tokyo: MLIT.
National Land Digital Information. 2022. “National land numerical information.” Accessed April 29, 2022. https://nlftp.mlit.go.jp/ksj/index.html.
Peng, C., Z. Guo, and Z. Peng. 2017. “Research progress on the theory and practice of foreign community resilience.” Urban Plann. Int. 32 (4): 60–66. https://doi.org/10.22217/upi.2016.127.
Shao, Y., and J. Xu. 2015. “Understanding urban resilience: A conceptual analysis based on integrated international literature review.” Urban Plann. Int. 30 (2): 7.
Shi, Y., F. Zhong, and H. Zhang. 2019. “Discussion on evaluation indexes of disaster resilience in urban communities.” J. Inst. Disaster Prev. 21 (4): 8.
Siebeneck, L., S. Arlikatti, and S. A. Andrew. 2015. “Using provincial baseline indicators to model geographic variations of disaster resilience in Thailand.” Nat. Hazard. 79 (2): 1–21. https://doi.org/10.1007/s11069-015-1886-4.
Takanashi, T. 2016. “The hazard assessment and classification of Tokyo low-lying area during flood damage.” In Annual Report of Graduate School of Science and Engineering, 46. Hachioji, Japan: Science and Engineering, Chuo Univ.
Tepper, F. 2015. “Sendai framework for disaster risk reduction 2015–2030.” Int. J. Disaster Risk Sci. 2: 24.
Twigg, J. 2007. Characteristics of a disaster-resilient community: A guidance note (Version 1). London: UK Department for International Development’s Disaster Risk Reduction Interagency Coordination Group.
Walker, B., C. S. Holling, S. R. Carpenter, and A. Kinzig. 2004. “Resilience, adaptability and transformability in social-ecological systems.” Ecol. Soc. 9 (2): 5. https://doi.org/10.5751/ES-00650-090205.
Wang, Y., L. Ren, L. Chen, and Z. Sun. 2013. “A novel improved TOPSIS method and its application in medical science.” [In Chinese.] J. Central South Univ. 38 (2): 196–201. https://doi.org/10.3969/j.issn.1672-7347.2013.02.015.
Wang, Y., J. Zhang, and W. Ye. 2019. “A study of lightning disaster risk zoning in Xinjiang based on ArcGIS.” Desert Oasis Meteorol. 13 (6): 96–104.
Wardekker, J. A., A. de Jong, J. M. Knoop, and J. P. van der Sluijs. 2010. “Operationalising a resilience approach to adapting an urban delta to uncertain climate changes.” Technol. Forecasting Social Change 77 (6): 987–998. https://doi.org/10.1016/j.techfore.2009.11.005.
Wildavsky, A. 1988. Searching for safety. New Brunswick and London: Transaction Publishers.
Wu, K., H. Peng, J. Li, and W. Chen. 2018. “Land ecological sensitivity analysis of Lingbao City based on the coefficient of variation method.” Hubei Agric. Sci. 57 (14): 34–39.
Xie, Q. 2017. “Enlightenment of resilient city construction policy in developed country.” Technol. Decis. 4: 60–75.
Yang, W. 2015. “Evaluation of community resilience from the perspective of emergency management.” Ph.D. dissertation, Administration Management, Beijing Univ. of Technology.
Yang, Y. 2016. “Study on evaluation system and optimization strategy for resilient community under the perspective of earthquake resistance.” Ph.D. dissertation, Urban and Rural Planning, Dalian Univ. of Technology.
Yang, Z., P. Ding, and J. Qiao. 2017. “The landslide risk assessment along significant linear projects: A case of 500KV transmission line named Lumao line.” J. Eng. Geol. 25 (S1): 48–53. https://doi.org/10.13544/j.cnki.jeg.2017.s1.008.
Ye, L., Y. Zhou, and Y. Zhou. 2018. “Instance analysis of rainstorm floods chain and chain-cutting disaster mitigation building.” J. Catastrophol. 33 (14): 65–70. https://doi.org/10.3969/j.issn.1000-811X.2018.01.013.
Yun, Y., and M. Xu. 2016. “Discussion on the evaluation indexes of community resilience and resilience from the perspective of fire safety.” In Proc., Chinese Urban Planning Annual Conf., 1–8. Shanghai, China: China Association of City Planning.
Zang, X., and Q. Wang. 2019. “The evolution of the urban resilience concept, and its research contents and development trend.” Sci. Technol. Rev. 2019 (22): 94–104.
Zhai, G. 2010. “Progress in Japanese flood risk management research.” Progress Geogr. 29 (1): 3–9. https://doi.org/10.11820/dlkxjz.2010.01.001.
Zhao, Z., Y. Luo, and J. Huang. 2011. “Written in the IPCC special report published relating to extreme climate event assessments.” Adv. Clim. Change Res. 7 (6): 455–457.
Zheng, Y., J. Zhai, Z. Wu, Y. Li, and W. Shi. 2018. “A typology analysis on resilient cities based on adaptive cycle.” China Popul. Resour. Environ. 28 (3): 31–38. https://doi.org/10.12062/cpre.20171109.
Zhou, Y., J. Xu, and J. Du. 2019. “AHP-entropy method-based assessment of the cities’ resilience in Guangdong Province.” In Proc., 2019 Chinese Urban Planning Annual Conf.: Vibrant Urban and Rural Habitat, 01 City Security and Disaster Prevention planning. Chongqing, China: Chongqing Univ. of Posts and Telecommunications.
Information & Authors
Information
Published In
Natural Hazards Review
Volume 23 • Issue 3 • August 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Dec 9, 2020
Accepted: Dec 3, 2021
Published online: May 6, 2022
Published in print: Aug 1, 2022
Discussion open until: Oct 6, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Joseph Jonathan Magoua, Nan Li, The human factor in the disaster resilience modeling of critical infrastructure systems, Reliability Engineering & System Safety, 10.1016/j.ress.2022.109073, 232, (109073), (2023).