Pregled bibliografske jedinice broj: 1068204
Household Level Vulnerability Analysis—Index and Fuzzy Based Methods
Household Level Vulnerability Analysis—Index and Fuzzy Based Methods // ISPRS International Journal of Geo-Information, 9 (2020), 4; 263, 19 doi:10.3390/ijgi9040263 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1068204 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Household Level Vulnerability Analysis—Index and
Fuzzy Based Methods
Autori
Baučić, Martina
Izvornik
ISPRS International Journal of Geo-Information (2220-9964) 9
(2020), 4;
263, 19
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
climate change ; fuzzy logic ; GIS, household ; Index method ; sea level rise ; vulnerability
Sažetak
Coastal vulnerability assessment due to climate change impacts, particularly for sea level rise, has become an essential part of coastal management all over the world. For the planning and implementation of adaptation measures at the household level, large-scale analysis is necessary. The main aim of this research is to investigate and propose a simple and viable assessment method that includes three key geospatial parameters: elevation, distance to coastline, and building footprint area. Two methods are proposed—one based on the Index method and another on fuzzy logic. While the former method standardizes the quantitative parameters to unit-less vulnerability sub- indices using functions (avoiding crisp classification) and summarizes them, the latter method turns quantitative parameters into linguistic variables and further implements fuzzy logic. For comparison purposes, a third method is considered: the existing Index method using crisp values for vulnerability sub- indices. All three methods were implemented, and the results show significant differences in their vulnerability assessments. A discussion on the advantages and disadvantages led to the following conclusion: although the fuzzy logic method satisfies almost all the requirements, a less complex method based on functions can be applied and still yields significant improvement.
Izvorni jezik
Engleski
Znanstvena područja
Geodezija
POVEZANOST RADA
Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split
Profili:
Martina Baučić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus