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@article{ART002879724},
author={Yang, Geon Pil and Chun Haejung},
title={Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI},
journal={Korea Real Estate Review},
issn={2092-5395},
year={2022},
volume={32},
number={3},
pages={7-24},
doi={10.35136/krer.32.3.1}

TY - JOUR
AU - Yang, Geon Pil
AU - Chun Haejung
TI - Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI
JO - Korea Real Estate Review
PY - 2022
VL - 32
IS - 3
PB - korea real estate research institute
SP - 7
EP - 24
SN - 2092-5395
AB - This study aims to explain the relationship between variables that were not explained in the existing machine learning methodology by interpreting the relationship between apartment prices and regional characteristic variables using the XAI methodology. Furthermore, the study's goal is to collect various regional variables (population, occupation, income/consumption) in the basic area unit (postcode unit) that could not be addressed in previous domestic studies due to data collection difficulties. In terms of the independent variable, a dataset was created for each facility, population, occupation, income/consumption, and the dependent variable. The relationship between independent and dependent variables was inferred using a random forest among XGBoost and Bagging models and SHAP models among XAI methodologies on the constructed dataset. The spatial scope of the analysis was determined by dividing Seoul Metropolitan Government into national basic zone units, the content range was apartment among houses, and the period was empirically analyzed in 2021. Results reveal that the proportion of high income, the proportion of rental income, and the number of apartments positively affect apartment prices, whereas the proportion of low income, bus stop, and the number of multi-family houses negatively affect apartment prices.
KW - AI;Machine Learning;Apartment Price;Regional Characteristics
DO - 10.35136/krer.32.3.1
ER -

Yang, Geon Pil and Chun Haejung. (2022). Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI. Korea Real Estate Review, 32(3), 7-24.

Yang, Geon Pil and Chun Haejung. 2022, "Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI", Korea Real Estate Review, vol.32, no.3 pp.7-24. Available from: doi:10.35136/krer.32.3.1

Yang, Geon Pil, Chun Haejung "Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI" Korea Real Estate Review 32.3 pp.7-24 (2022) : 7.

Yang, Geon Pil, Chun Haejung. Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI. 2022; 32(3), 7-24. Available from: doi:10.35136/krer.32.3.1

Yang, Geon Pil and Chun Haejung. "Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI" Korea Real Estate Review 32, no.3 (2022) : 7-24.doi: 10.35136/krer.32.3.1

Yang, Geon Pil; Chun Haejung. Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI. Korea Real Estate Review, 32(3), 7-24. doi: 10.35136/krer.32.3.1

Yang, Geon Pil; Chun Haejung. Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI. Korea Real Estate Review. 2022; 32(3) 7-24. doi: 10.35136/krer.32.3.1

Yang, Geon Pil, Chun Haejung. Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI. 2022; 32(3), 7-24. Available from: doi:10.35136/krer.32.3.1

Yang, Geon Pil and Chun Haejung. "Analysis of the Relationship between Housing Prices and Regional Characteristics Using Machine Learning and XAI" Korea Real Estate Review 32, no.3 (2022) : 7-24.doi: 10.35136/krer.32.3.1