@article{ART002987889},
author={Yoon-Ah Song and Jeongeun Song and Zoon-Ky Lee},
title={Analyzing the Factors of Gentrification After Gradual Everyday Recovery},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={8},
pages={175-186},
doi={10.9708/jksci.2023.28.08.175}
TY - JOUR
AU - Yoon-Ah Song
AU - Jeongeun Song
AU - Zoon-Ky Lee
TI - Analyzing the Factors of Gentrification After Gradual Everyday Recovery
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 8
PB - The Korean Society Of Computer And Information
SP - 175
EP - 186
SN - 1598-849X
AB - In this paper, we aim to build a gentrification analysis model and examine its characteristics, focusing on the point at which rents rose sharply alongside the recovery of commercial districts after the gradual resumption of daily life. Recently, in Korea, the influence of social distancing measures after the pandemic has led to the formation of small-scale commercial districts, known as ‘hot places’, rather than large-scale ones. These hot places have gained popularity by leveraging various media and social networking services to attract customers effectively. As a result, with an increase in the floating population, commercial districts have become active, leading to a rapid surge in rents.
However, for small business owners, coping with the sudden rise in rent even with increased sales can lead to gentrification, where they might be forced to leave the area. Therefore, in this study, we seek to analyze the periods before and after by identifying points where rents rise sharply as commercial districts experience revitalization. Firstly, we collect text data to explore topics related to gentrification, utilizing LDA topic modeling. Based on this, we gather data at the commercial district level and build a gentrification analysis model to examine its characteristics.
We hope that the analysis of gentrification through this model during a time when commercial districts are being revitalized after facing challenges due to the pandemic can contribute to policies supporting small businesses.
KW - Gentrification;gradual recovery;commercial district;LDA Topic Modeling;Clustering;Multiple regression analysis
DO - 10.9708/jksci.2023.28.08.175
ER -
Yoon-Ah Song, Jeongeun Song and Zoon-Ky Lee. (2023). Analyzing the Factors of Gentrification After Gradual Everyday Recovery. Journal of The Korea Society of Computer and Information, 28(8), 175-186.
Yoon-Ah Song, Jeongeun Song and Zoon-Ky Lee. 2023, "Analyzing the Factors of Gentrification After Gradual Everyday Recovery", Journal of The Korea Society of Computer and Information, vol.28, no.8 pp.175-186. Available from: doi:10.9708/jksci.2023.28.08.175
Yoon-Ah Song, Jeongeun Song, Zoon-Ky Lee "Analyzing the Factors of Gentrification After Gradual Everyday Recovery" Journal of The Korea Society of Computer and Information 28.8 pp.175-186 (2023) : 175.
Yoon-Ah Song, Jeongeun Song, Zoon-Ky Lee. Analyzing the Factors of Gentrification After Gradual Everyday Recovery. 2023; 28(8), 175-186. Available from: doi:10.9708/jksci.2023.28.08.175
Yoon-Ah Song, Jeongeun Song and Zoon-Ky Lee. "Analyzing the Factors of Gentrification After Gradual Everyday Recovery" Journal of The Korea Society of Computer and Information 28, no.8 (2023) : 175-186.doi: 10.9708/jksci.2023.28.08.175
Yoon-Ah Song; Jeongeun Song; Zoon-Ky Lee. Analyzing the Factors of Gentrification After Gradual Everyday Recovery. Journal of The Korea Society of Computer and Information, 28(8), 175-186. doi: 10.9708/jksci.2023.28.08.175
Yoon-Ah Song; Jeongeun Song; Zoon-Ky Lee. Analyzing the Factors of Gentrification After Gradual Everyday Recovery. Journal of The Korea Society of Computer and Information. 2023; 28(8) 175-186. doi: 10.9708/jksci.2023.28.08.175
Yoon-Ah Song, Jeongeun Song, Zoon-Ky Lee. Analyzing the Factors of Gentrification After Gradual Everyday Recovery. 2023; 28(8), 175-186. Available from: doi:10.9708/jksci.2023.28.08.175
Yoon-Ah Song, Jeongeun Song and Zoon-Ky Lee. "Analyzing the Factors of Gentrification After Gradual Everyday Recovery" Journal of The Korea Society of Computer and Information 28, no.8 (2023) : 175-186.doi: 10.9708/jksci.2023.28.08.175
