TY - JOUR
T1 - Localized Spatiotemporal Effects in the Determinants of Property Prices
T2 - A Case Study of Seoul
AU - Fotheringham, Stewart
AU - Park, Bumsub
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media B.V.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - This research investigates both spatial and temporal elements of the apartment pricing process in Seoul, South Korea by modeling the determinants of apartment prices over a ten-year period from 2006 to 2015 with a hedonic price model containing a spatio-temporal lag model calibrated by geographically weighted regression (GWR). The results yield information on both spatial and temporal variations in the processes affecting apartment prices and demonstrate the use of GWR for generating local spatial dependency measures which are conditioned on various covariates rather than being simple descriptions of pattern. The study utilizes a combined approach to account for both spatial dependency in housing prices and spatial heterogeneity in the processes generating those prices. The results suggest that there are spatial variations in the determinants of apartment prices and that these spatial variations are fairly consistent over time. The effect of the spatial lag on house prices exhibits strong spatial variation which again is reasonably consistent over time.
AB - This research investigates both spatial and temporal elements of the apartment pricing process in Seoul, South Korea by modeling the determinants of apartment prices over a ten-year period from 2006 to 2015 with a hedonic price model containing a spatio-temporal lag model calibrated by geographically weighted regression (GWR). The results yield information on both spatial and temporal variations in the processes affecting apartment prices and demonstrate the use of GWR for generating local spatial dependency measures which are conditioned on various covariates rather than being simple descriptions of pattern. The study utilizes a combined approach to account for both spatial dependency in housing prices and spatial heterogeneity in the processes generating those prices. The results suggest that there are spatial variations in the determinants of apartment prices and that these spatial variations are fairly consistent over time. The effect of the spatial lag on house prices exhibits strong spatial variation which again is reasonably consistent over time.
KW - Geographically weighted regression
KW - Hedonic price modeling
KW - Local measures of spatial dependency
KW - Spatio-temporal modeling
UR - http://www.scopus.com/inward/record.url?scp=85028323187&partnerID=8YFLogxK
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U2 - 10.1007/s12061-017-9232-8
DO - 10.1007/s12061-017-9232-8
M3 - Article
AN - SCOPUS:85028323187
SN - 1874-463X
VL - 11
SP - 581
EP - 598
JO - Applied Spatial Analysis and Policy
JF - Applied Spatial Analysis and Policy
IS - 3
ER -