2020
DOI: 10.3390/su122310098
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The Impact of Flood Risk on the Activity of the Residential Land Market in a Polish Cultural Heritage Town

Abstract: The article attempts to determine the effect of perceived flood risk, based on identified flood hazard zones, on the level of activity in the market of land property designated for housing developments in the historical town of Sandomierz, Poland. The study employed graphical, analytical, quantitative methods, and spatial analyses with GIS tools. The proposed methodology, involving spatial interpolation of the phenomenon (Kernel Density Estimation (KDE) and Inverse Distance Weighting (IDW)) and an expert opini… Show more

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Cited by 9 publications
(10 citation statements)
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References 60 publications
(80 reference statements)
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“…According to Sawada et al (2018), non-significance of estimates possibly relates to illiquidity or other frictions in the real estate market. On the other hand, some studies indicate significant price reductions after flooding, especially for properties with higher flood risks (Zhai et al, 2003;Ismail et al, 2016;Dudzińska et al, 2020;Wei and Zhao, 2022). The results for Jamaica in this study must be considered in light of limitations in the available data and literature.…”
Section: Resultsmentioning
confidence: 69%
“…According to Sawada et al (2018), non-significance of estimates possibly relates to illiquidity or other frictions in the real estate market. On the other hand, some studies indicate significant price reductions after flooding, especially for properties with higher flood risks (Zhai et al, 2003;Ismail et al, 2016;Dudzińska et al, 2020;Wei and Zhao, 2022). The results for Jamaica in this study must be considered in light of limitations in the available data and literature.…”
Section: Resultsmentioning
confidence: 69%
“…The regression model fit well with the observed data (R 2 = 0.997; p = 0.000). Two hypotheses were analyzed in the model [62]. The null hypothesis, H 0 , postulates that none of the modeled variables influenced profits in the biofuel sector.…”
Section: Regression Analysis Of Biofuel Industrymentioning
confidence: 99%
“…Several researchers declare that the selection of the bandwidth r is more important than the selection of the kernel function k [50][51][52][53]. Technically, three kernel functions can be used to conduct the KDE, namely the Gaussian function, the Quartic function and the Minimum variance function b [54]. It is well understood that the sectional efficient function should be based on the context of the dataset, such as spatial distribution, standard deviation, etc.…”
Section: Kernel Density Estimation Techniquementioning
confidence: 99%