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@article{ART002882259},
author={Choi， Jin do and Chang Yohan and I TaLy},
title={A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth},
journal={The Korea Spatial Planning Review},
issn={1229-8638},
year={2022},
volume={114},
pages={111-135},
doi={10.15793/kspr.2022.114..007}

TY - JOUR
AU - Choi， Jin do
AU - Chang Yohan
AU - I TaLy
TI - A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth
JO - The Korea Spatial Planning Review
PY - 2022
VL - 114
IS - null
PB - 국토연구원
SP - 111
EP - 135
SN - 1229-8638
AB - Advanced information and communication technology (ICT) stimulates several changes in our lives, including social economics and living environments. Especially in urban areas, those changes stretch to commercial properties such as the emerging needs of e-commerce and spending behaviors of customers. Now, our commercial properties face several big movements which may affect our ecosystems in social economics in several ways. This study aims to explore how such ecosystems operate in diverse fashions and to present how our ecosystems would be changed in the near future with jurisdictional level. This study found several significant clues that the future demands of commercial properties may differ and vary across jurisdictions with changes in urban spatial. To be specific, our results found that the demand forecasting of the facility groups for the first- and second-category will have negative trends across Gangwon-si, Choong-chung-do, and Jeju-si in the near future. Also, sales facilities show positive trends in the central business district (CBD) area and similar trends can be found for office facilities in Daejeon-si, Sejong-si, and Ulsan-si. This study expects that the developed framework in this study can play a meaningful role as a policy decision supporting tool since estimated demands in commercial properties can prove useful in urban planning, such as in identifying the appropriate supply that meets certain demands.
KW - Information and Communication Technology;Changes in Urban Space;Commercial Properties;Demand and User’s Behaviors;Market Prospect
DO - 10.15793/kspr.2022.114..007
ER -

Choi， Jin do, Chang Yohan and I TaLy. (2022). A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth. The Korea Spatial Planning Review, 114, 111-135.

Choi， Jin do, Chang Yohan and I TaLy. 2022, "A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth", The Korea Spatial Planning Review, vol.114, pp.111-135. Available from: doi:10.15793/kspr.2022.114..007

Choi， Jin do, Chang Yohan, I TaLy "A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth" The Korea Spatial Planning Review 114 pp.111-135 (2022) : 111.

Choi， Jin do, Chang Yohan, I TaLy. A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth. 2022; 114 111-135. Available from: doi:10.15793/kspr.2022.114..007

Choi， Jin do, Chang Yohan and I TaLy. "A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth" The Korea Spatial Planning Review 114(2022) : 111-135.doi: 10.15793/kspr.2022.114..007

Choi， Jin do; Chang Yohan; I TaLy. A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth. The Korea Spatial Planning Review, 114, 111-135. doi: 10.15793/kspr.2022.114..007

Choi， Jin do; Chang Yohan; I TaLy. A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth. The Korea Spatial Planning Review. 2022; 114 111-135. doi: 10.15793/kspr.2022.114..007

Choi， Jin do, Chang Yohan, I TaLy. A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth. 2022; 114 111-135. Available from: doi:10.15793/kspr.2022.114..007

Choi， Jin do, Chang Yohan and I TaLy. "A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth" The Korea Spatial Planning Review 114(2022) : 111-135.doi: 10.15793/kspr.2022.114..007