Empirical analysis of flood risk perception using historical data in Tokyo

Sado-Inamura, Yukako; Fukushi, Kensuke

doi:10.1016/j.landusepol.2018.11.031

Cited by 34 publications

(10 citation statements)

References 44 publications

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“…Land use change in coastal cities is regarded as one of the major causes of many ecological and environmental problems, especially those related to water, which usually substantially impact hydrological alternations and can also threaten urban sustainability [14]. Coastal cities have been identified as vulnerable regions in terms of climatic shifts [15,16]. Coupled land use and climate changes usually lead to amplified hydrological responses and aggravated flood risks in these cities [17].…”

Section: Introductionmentioning

confidence: 99%

Land Use Change in Coastal Cities during the Rapid Urbanization Period from 1990 to 2016: A Case Study in Ningbo City, China

et al. 2019

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Coastal cities have been experiencing tremendous land use changes worldwide. Studies on the consequences of land use change in coastal cities have provided helpful information for spatial regulations and have attracted increased attention. Changes in forests and water bodies, however, have rarely been investigated, challenging the formation of a holistic pattern of land use change. In this study, we selected Ningbo, China, as a case study area and analyzed its land use change from 1990 to 2016. Random forest (RF) classification was employed to derive land use information from Landsat images. Transition matrices and a distribution index (DI) were applied to identify the major types of land use transitions and their spatial variations by site-specific attributes. The results showed that the entire time period could be divided into two stages, based on the manifestations of land use change in Ningbo: 1990–2005 and 2005–2016. During 1990–2005, construction land expanded rapidly, mainly through the occupation of agricultural land and forest, while during 2005–2016, the main change trajectory turned out to be a small net change in construction land and a net increase in agricultural land sourced from construction land, forests, and water bodies. In terms of land use change by site-specific attributes, the rapid expansion of construction land around the municipal city center during 1990–2005 was restrained, and similar amounts of land conversion between construction and agricultural use occurred during 2005–2016. During the study period, areas undergoing land use change also showed trends of moving outward from the municipal city center and the county centers located adjacent to roads and the coastline and of moving up to hilly areas with steeper slopes and higher elevations. Protecting reclaimed agricultural land, improving the efficiency of construction land, and controlling forest conversion in hilly areas are suggested as spatial regulations in Ningbo city.

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Section: Introductionmentioning

confidence: 99%

Land Use Change in Coastal Cities during the Rapid Urbanization Period from 1990 to 2016: A Case Study in Ningbo City, China

et al. 2019

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“…Wang, Wang, Huang, Kang, & Han, 2018;Yin et al, 2021). Flood preparedness acted as individual protection action and reflected response behaviors during floods, including preventive and adaptive behavior (Sado-Inamura & Fukushi, 2019).…”

Section: Introductionmentioning

confidence: 99%

Unbalanced relationship between flood risk perception and flood preparedness from the perspective of response intention and socio-economic factors: a case study of Nanjing, China

Li,

Wang

2024

Preprint

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Abstract. Although risk perception and flood preparedness were crucial in flood management, perceived flood risk was not always translated into flood preparedness. It was essential to investigate the potential association between risk perception and flood preparedness. This study focused on Nanjing as the research region, designed questionnaire survey and explored the influence relationship between risk perception and flood preparedness. Participants showed the medium perception of food risk and higher flood preparedness. Higher risk perception was observed in individuals with regular exercising, the elderly, low education level and long living time. Higher flood preparedness occurred among groups of females, the elderly and high education level. Individuals relied more on threat appraisal to perceive risk, which failed to trigger high enough coping appraisal. Inadequate risk perception led to a strenuous transform into flood preparedness with unbalanced relationship. Groups with distinct socio-economic characteristics exhibited varying preferences to achieve risk perception and flood preparedness. Females relied more on flood knowledge to perceive flood risk. Path analysis suggested that threat appraisal transformed into flood preparedness under the effect of response intention and social-economic features. Groups with high education level or bad health were more likely to perceive risk and engage in preventive behavior. These findings could provide critical insights into intervention strategies for enhancing public flood preparedness in flood management.

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“…Flood risk assessment methods can be broadly classified into four main types, including multi-criteria decision analysis (MCDA) (Chen X. et al, 2020), historical disaster mathematical statistics method (HDMS) (Sado-Inamura and Fukushi, 2019), scenario simulation analysis (SSA) (Mohanty et al, 2020;Zhi et al, 2020), and machine learning models (MLMs) (Chen et al, 2021;Chowdhuri et al, 2020). HDMS requires sufficient historical data and are not sufficiently flexible and rapid for risk assessment in urban areas where the natural and social environment is changing.…”

Section: Introductionmentioning

confidence: 99%

Climate change and human activity impacts on future flood risk in the Pearl River Delta based on the MaxEnt model

et al. 2023

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In the background of global climate change and rapid urbanization, extreme climate events are frequent, and highly urbanized areas flooding problems are becoming increasingly prominent. It becomes important to develop qualitative scenario storylines to assess future flooding risk in a changing environment over the highly urbanized areas. In this study, the future (2030–2050) flood risk in the Pearl River Delta (PRD) region of China was assessed based on the MaxEnt model. We have developed four future scenarios under different emission conditions based on the representative concentration pathways (RCPs) and the shared socio-economic pathways (SSPs). The MaxEnt model was trained by using flood hazard sample point data and flood risk indicators, meanwhile, food risk prediction with high accuracy was obtained. We analyzed the influencing factors of flood risk and predicted the flood risk of the PRD under four future scenarios. According to the results, there is a significant increase in the size and proportion of high flood risk areas in most scenarios. Flood risk under scenario SSP5-RCP8.5 are expected to be the most serious in the future. Population density (POPD) and Gross domestic product density (GDPD) have the highest explanatory power for flood risk. This study predict the changes of flood risk under the combined influence of climate change and human activities, and hoped to provide a reference for future planning and disaster mitigation construction in PRD cities.

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Empirical analysis of flood risk perception using historical data in Tokyo

Cited by 34 publications

References 44 publications

Land Use Change in Coastal Cities during the Rapid Urbanization Period from 1990 to 2016: A Case Study in Ningbo City, China

Land Use Change in Coastal Cities during the Rapid Urbanization Period from 1990 to 2016: A Case Study in Ningbo City, China

Unbalanced relationship between flood risk perception and flood preparedness from the perspective of response intention and socio-economic factors: a case study of Nanjing, China

Climate change and human activity impacts on future flood risk in the Pearl River Delta based on the MaxEnt model

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