
Progress in Disaster Science, Journal Year: 2024, Volume and Issue: unknown, P. 100399 - 100399
Published: Dec. 1, 2024
Language: Английский
Progress in Disaster Science, Journal Year: 2024, Volume and Issue: unknown, P. 100399 - 100399
Published: Dec. 1, 2024
Language: Английский
Natural Hazards, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 24, 2025
Language: Английский
Citations
1Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 118, P. 103926 - 103926
Published: June 1, 2024
Language: Английский
Citations
5Natural Hazards Research, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
0Cogent Social Sciences, Journal Year: 2025, Volume and Issue: 11(1)
Published: Feb. 14, 2025
Language: Английский
Citations
0Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 15(1)
Published: June 14, 2024
Floods pose a significant threat, exceeding other natural disasters in economic and social impacts (Agrawal et al. Citation2020; Zuo Citation2023; Kurata Citation2023). Urbanization exacerbates this risk by altering hydrology increasing flood exposure due to population growth floodplains (Mustafa Citation2018; Cao Citation2022). Climate change further intensifies this, potentially raising the number of flood-prone people 2030 (Nguyen Citation2021; Tellman Keenan-Jones Disaster mitigation, particularly spatial planning for reduction, is crucial sustainable development rapidly urbanizing areas. Current plans often rely solely on static land-use data, neglecting dynamic landscape changes. This study utilizes data (Landsat 8 OLI, 2014–2022) metrics simulate under urban expansion. We show increased urbanization leads wider deeper floods changes fragmentation. Spatial needs consider these dynamics, not just elevation. Our model demonstrates that expanding residential non-residential areas 5.54% 1.47% increases 6.5% 36.9%, respectively. information can inform policymakers developing more robust mitigation.
Language: Английский
Citations
3Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: May 8, 2024
Human behaviour has gained recognition as a critical factor in addressing climate change and its impacts. With extreme weather events posing risks to vulnerable communities, understanding cognitive processes driving behaviours becomes essential for effective risk communication. This study focuses on the 2018 "Vaia" storm, which brought unprecedented precipitation wind velocity mountainous regions of North-eastern Italy. Drawing upon Protection Motivation Theory (PMT) framework, we employ probabilistic models identify distinct groups with similar behavioural profiles. By administering web-based survey 1500 residents affected by event, find that threat appraisal is more influential shaping protective than coping appraisal. Our findings indicate enhancing appraisals discouraging non-protective measures, can actively mitigate maladaptive responses promote adoption adaptation strategies.
Language: Английский
Citations
2International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 112, P. 104794 - 104794
Published: Aug. 30, 2024
Language: Английский
Citations
2Climate, Journal Year: 2024, Volume and Issue: 12(6), P. 80 - 80
Published: May 31, 2024
In the past two decades, several floods have affected people and their properties in Burkina Faso, with unprecedented flooding occurring Ouagadougou September 2009. So far, most studies focused on surrounding localities paid little attention to other flood-prone regions Faso. Consequently, there is a data knowledge gap regarding flood risk Haut-Bassins region, which turn hinders development of mitigation strategies reduction measures communities. This study demonstrates how collected at household level can be used understand its components village this data-scarce region. Using an indicator-based method, we analyzed both perception level. Moreover, determined factors influencing using ordered logit model. We found that 12 out 14 villages our sample group had experienced high levels risk. The management runoff from nearest urban areas as well poorly designed civil engineering infrastructures, such roads, were highlighted by households significant increased vulnerability. Additionally, perceived consistently exceeds estimated risk, insignificant positive correlation between indices. Regression results indicate mainly influenced informational behavioral households. findings provide valuable information municipal regional authorities involved disaster within area. our/this method transferable regions.
Language: Английский
Citations
1Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 258, P. 107400 - 107400
Published: Sept. 27, 2024
Language: Английский
Citations
1Acta Psychologica, Journal Year: 2024, Volume and Issue: 251, P. 104614 - 104614
Published: Nov. 1, 2024
Language: Английский
Citations
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