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This study examined the applicability of LSTM-based models for small-area future household projections across 66 cities in the Seoul Metropolitan Area (SMA), focusing on differences in predictive performance by input variable configuration. Three models were constructed based on the past trend of the number of households (Model 1), adding infrastructure factors (Model 2), and adding spatial lag factors (Model 3). The evaluation showed that Model 2 generally produced lower MAPE and MdAPE values, but the model with the lowest error differed by region and household type. By household type, Model 2 showed lower errors for one and two person households headed by householders in their 20s or younger and 30s, whereas Model 3 showed lower errors for households headed by householders in their 40s or 50s. These findings suggest that small-area household projections may need to consider region and household-specific input variable configurations, and that future research may extend this approach through ensemble models.
본 연구는 수도권 66개 시군구를 대상으로 소지역 장래가구추계에서 LSTM 기반 모델의 적용 가능성과 입력 변수 구성에 따른 예측 성능 차이를 검토하였다. 모델은 과거 가구 수 추세 기반(모델 1), 인프라 요인 추가(모델 2), 공간 래그 요인 추가(모델 3) 세 가지로 구축하였다. 성능 평가 결과, 모델 2의 MAPE와 MdAPE가 전반적으로 낮았으나, 지역별·가구 유형별로 낮은 오차를 보이는 모델 구성은 상이하였다. 가구 유형별로는 20대 이하·30대 1·2인 가구에서 모델 2, 40-50대 가구에서 모델 3의 오차가 낮게 나타나 지역 및 가구 특성에 따라 적절한 입력 변수 구성이 달라질 수 있음을 확인하였다. 본 연구는 제한된 소지역 자료 조건 내에서 LSTM 기반 가구추계 모델의 적용 가능성을 검토하고, 지역 및 가구 특성에 따른 앙상블 모델 개발 방향을 제시하였다.
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- 부동산 114, 아파트 입주 물량, 빅데이터 솔루션(REPS).
- Publisher :The Korean Association of Regional Geographers
- Publisher(Ko) :한국지역지리학회
- Journal Title :REGION AND GEOGRAPHY
- Journal Title(Ko) :지역과 지리
- Volume : 32
- No :3
- Pages :33-53
- DOI :https://doi.org/10.26863/JKARG.2026.8.32.3.33


REGION AND GEOGRAPHY