Latent structure analysis of a city center using spatial and categorical co-occurrence relations of facilities

Kazuya Inagaki, Yusuke Hara, Masao Kuwahara

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

Abstract

In this study, we revealed the latent structure of co-occurrence information using the extended stochastic block model. We validated our approach via a case study in Osaka's city center near the Namba station. From our study, we conclude that (1) the facility accumulation of the target area was classified by latent classes based on co-occurrence information, (2) each latent class indicates its quantitative property, and (3) the relationship between the latent classes correspond with their geographic distribution.

Original languageEnglish
Title of host publicationDesign and Decision Support Systems in Architecture and Urban Planning - 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016
EditorsHarry Timmermans
PublisherTechnische Universiteit Eindhoven
ISBN (Electronic)9789038641447
Publication statusPublished - 2016
Event13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016 - Eindhoven, Netherlands
Duration: 2016 Jun 272016 Jun 28

Publication series

NameDesign and Decision Support Systems in Architecture and Urban Planning - 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016

Other

Other13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016
CountryNetherlands
CityEindhoven
Period16/6/2716/6/28

Keywords

  • Latent structure analysis
  • Network analysis
  • Spatial evaluation
  • Stochastic block model

ASJC Scopus subject areas

  • Building and Construction
  • Modelling and Simulation
  • Urban Studies
  • Computer Science Applications
  • Software
  • Architecture

Fingerprint Dive into the research topics of 'Latent structure analysis of a city center using spatial and categorical co-occurrence relations of facilities'. Together they form a unique fingerprint.

Cite this