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

Ryo Inoue, Rihoko Ishiyama, Ayako Sugiura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication10th International Conference on Geographic Information Science, GIScience 2018
EditorsAmy L. Griffin, Stephan Winter, Monika Sester
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Print)9783959770835
DOIs
Publication statusPublished - 2018 Aug 1
Event10th International Conference on Geographic Information Science, GIScience 2018 - Melbourne, Australia
Duration: 2018 Aug 282018 Aug 31

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume114
ISSN (Print)1868-8969

Other

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

Keywords

  • Generalised fused lasso
  • Geographical market segmentations
  • Rental housing market
  • Sparse modelling
  • Tokyo metropolitan area

ASJC Scopus subject areas

  • Software

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