Development of Spatial Adjacency Graph Extraction Algorithm for Improving Pre-design Efficiency in Architectural Design Process

Geun Jae Kim, Hyeong Mo Gu, Hye Jin Park, Seung Yeon Choo

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The architectural design process requires spatial planning that involves searching for building drawings with similar compositions to the ongoing project. However, the current search methods involve searching for architectural drawings based on a high level of shared similarities in specific details. Spatial elements such as spatial relationships and compositions are vital for design case studies but are complicated search terms for finding similarities in architectural drawings. To extract the spatial relationships in a graph format from a drawing, this research proposes a methodology that utilizes BIM and Dynamo algorithm to detect drawing elements and generate an intersection area that defines the type of drawing based on the adjacency of spatial elements in the drawing. Therefore, the methodology proposed in this paper is a method of building a spatial relationship database that utilizes an algorithm that finds similarities in spatial relationships in existing architectural drawings. It is expected that through this algorithm, architectural design data, which has been qualitatively accumulated so far, can be accumulated in a quantitative form for an automated space planning system that architects can refer to in the spatial planning process.

Original languageEnglish
Pages (from-to)67-74
Number of pages8
JournalJournal of the Architectural Institute of Korea
Volume38
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • Adjacency Graph
  • Algorithm
  • Database
  • Pre-design
  • Space program

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