Work

Sophistication of Monitoring Method for Spatial Distribution of Vacant Houses Using Machine Learning

Year: 2021

Type: article

Abstract: This study resolved the problem of Part 2 and refined the method for estimating the spatial distribution of vacant houses using public municipal data by addressing the following issues.

Source: Journal of Architecture and Planning (Transactions of AIJ)

DOI: 10.3130/aija.86.2136

Authors: Yuki AKIYAMA, Hiroki BABA, Yoshiya ONO, Hideo TAKAOKA

Institutions: Ministry of Land, Infrastructure, Transport and Tourism, Tokyo City University, Kyoto University, Center for Southeast Asian Studies, Policy Research Institute for Land Infrastructure and Transport, Center for Southeast Asian Studies, Kyoto University, The Hakubi Center for Advanced Research, Kyoto University, Japan Real Estate Institute

Language: English

Topic: Urbanization and City Planning

Subfield: Urban Studies

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: hybrid

Funder: Japan Society for the Promotion of Science

Award: Analysis of Correlation between Estimated Apartment Vacancy Rate and Housing Characteristics

OpenAlex ID: W3203354386

FWCI: 1.756

Cites: 11

Cited by: 5

Related to: 10