Integrating Planning Theory with Socio-Ecological-Technological Systems for Urban Flood Risk Management: A Case Study of Chiba Prefecture, Japan

Yujeong Lee, Kiyoyasu Tanaka and Chang-Yu Hong ()
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Yujeong Lee: PKNU Industry—University Corporation Foundation, Pukyong National University, Busan 48513, Republic of Korea
Kiyoyasu Tanaka: Development Research Center, Institute of Developing Economies, Chiba 261-8545, Japan
Chang-Yu Hong: Division of Global & Interdisciplinary Studies, Pukyong National University, Busan 48513, Republic of Korea

Land, 2025, vol. 14, issue 9, 1-21

Abstract: Urban flooding presents increasingly complex challenges exacerbated by climate change, rapid urbanization, and aging infrastructure. This investigation combines planning theories and socio-hydrological modelling to create a planning-adaptable urban flood management strategy. The case study of Chiba Prefecture, Japan, demonstrates this approach in depth. By applying the Social-Ecological-Technological Systems (SETS) framework in combination with planning theories, the study has identified the relationship between the conventional engineered methods and the newly introduced environmentally friendly (nature-based) solutions. Our findings, which are based on content analysis of 23 official statutory planning documents, indicate that there is a significant focus on the conservation of ecosystems and green infrastructure balanced with issues of emergency planning and community engagement. One of the points that the results highlight is integrating the ecological, social and technological aspects in order to create flood management policies that are both robust and fair. This integrated approach offers a robust framework for mitigating flood risks while promoting sustainable urban development and long-term community resilience.

Keywords: urban flood resilience; Socio-Ecological-Technological Systems (SETS); planning theory; non-structural flood mitigation; nature-based solutions; Chiba Japan (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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