Title |
Identifying the Concept Ideas Proposed by the Architectural and Urban Design Competitions on the Post-COVID-19 Topics in South Korea |
Authors |
김영우(Kim, Youngwoo) ; 최진규(Choi, JinGyu) ; 강범준(Kang, Bumjoon) |
DOI |
https://doi.org/10.5659/JAIK.2021.37.12.129 |
Keywords |
Corona Virus; Design Competition; Case Study; Semantic Network Analysis; LDA Topic Modeling |
Abstract |
(1) Background: The COVID-19 pandemic has affected many aspects of the society including the built environment. This study examined
architectural and urban design concepts coping with the pandemic, using the data collected from architectural and urban design competitions
held in South Korea in 2020. (2) Methods: We selected 102 submissions from 5 design competitions as the study sample. All submissions
were annotated and labeled with design concept keywords. We used Semantic Network analysis and Latent Dirichlet Allocation Topic
Modeling analysis. (3) Results: The most frequent design concepts include green infrastructure (GI), space flexibility (SF), elevated circulation
system (EC), and social density control (SD). Of the concepts, GI and SD had high centrality values within the semantic network of the
concept keywords. The LDA topic modeling shows that the topic involving SD, common space, GI, temporary buildings, mobility hubs was
common among the study the sample. |