Identification of geographical segmentation of the rental apartment market in the Tokyo Metropolitan Area

Ryo Inoue, Rihoko Ishiyama, Ayako Sugiura

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

It is often said that the real estate market is divided geographically in such a manner that the value of attributes of real estate properties is different for each area. This study proposes a new approach to the investigation of the geographical segmentation of the real estate market. We develop a price model with many regional explanatory variables, and implement the generalized fused lasso - a regression method for promoting sparsity - to extract the areas where the valuation standard is the same. The proposed method is applied to rental data of apartments in the Tokyo metropolitan area, and we find that the geographical segmentation displays hierarchal patterns. Specifically, we observe that the market is divided by wards, railway lines and stations, and neighbourhoods.

本文言語English
ホスト出版物のタイトル10th International Conference on Geographic Information Science, GIScience 2018
編集者Amy L. Griffin, Stephan Winter, Monika Sester
出版社Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN(印刷版)9783959770835
DOI
出版ステータスPublished - 2018 8 1
イベント10th International Conference on Geographic Information Science, GIScience 2018 - Melbourne, Australia
継続期間: 2018 8 282018 8 31

出版物シリーズ

名前Leibniz International Proceedings in Informatics, LIPIcs
114
ISSN(印刷版)1868-8969

Other

Other10th International Conference on Geographic Information Science, GIScience 2018
国/地域Australia
CityMelbourne
Period18/8/2818/8/31

ASJC Scopus subject areas

  • ソフトウェア

引用スタイル