TY - JOUR
T1 - Identifying spatiotemporally-varying effects of a newly built subway line on land price
T2 - Difference and correlation between commercial and residential uses
AU - Kim, Suji
AU - Byun, Jihye
N1 - Publisher Copyright:
© 2020 Taylor & Francis Group, LLC.
PY - 2021
Y1 - 2021
N2 - This study examines the spatiotemporal relationship between the newly built subway line and land price, focusing on difference and correlation between commercial and residential land uses. For a spatiotemporally sensitive analysis, Geographically and Temporally Weighted Regression (GTWR) method is used to test land price data in Daejeon, South Korea. A new approach is suggested in the bandwidth selection process of GTWR to consider the interactive relationship between commercial and residential land uses. With the proposed approach, this study develops models to measure the effects of a newly built subway line on commercial and residential land prices. The estimates of the models indicate that commercial and residential land uses have an interactive relationship, and the effects from the nearby environments indicate geographically and also temporally different patterns for each land use. The distribution of coefficients shows that the effect size is greater on the commercial land price than on the residential land price. However, the geographical effect is wider on the commercial land price, while the temporal effect is longer on the residential land price. This study provides a novel perspective on empirical research about the effects of newly built public transit on land prices. Furthermore, the results imply that land price estimation needs to consider the mutual relationship between land uses and to be differentiated by the type of land use.
AB - This study examines the spatiotemporal relationship between the newly built subway line and land price, focusing on difference and correlation between commercial and residential land uses. For a spatiotemporally sensitive analysis, Geographically and Temporally Weighted Regression (GTWR) method is used to test land price data in Daejeon, South Korea. A new approach is suggested in the bandwidth selection process of GTWR to consider the interactive relationship between commercial and residential land uses. With the proposed approach, this study develops models to measure the effects of a newly built subway line on commercial and residential land prices. The estimates of the models indicate that commercial and residential land uses have an interactive relationship, and the effects from the nearby environments indicate geographically and also temporally different patterns for each land use. The distribution of coefficients shows that the effect size is greater on the commercial land price than on the residential land price. However, the geographical effect is wider on the commercial land price, while the temporal effect is longer on the residential land price. This study provides a novel perspective on empirical research about the effects of newly built public transit on land prices. Furthermore, the results imply that land price estimation needs to consider the mutual relationship between land uses and to be differentiated by the type of land use.
KW - Public transit; subway; land price; land use; geographically and temporally weighted regression
UR - http://www.scopus.com/inward/record.url?scp=85088995899&partnerID=8YFLogxK
U2 - 10.1080/15568318.2020.1789248
DO - 10.1080/15568318.2020.1789248
M3 - Article
AN - SCOPUS:85088995899
SN - 1556-8318
VL - 15
SP - 364
EP - 374
JO - International Journal of Sustainable Transportation
JF - International Journal of Sustainable Transportation
IS - 5
ER -