| Title |
Multidimensional Analysis of Unstructured Data and Trends in Architectural Review Opinions of Small and Medium-Sized Apartment Projects |
| Authors |
Kim, Jinhee ; Hwang, Taeeon ; Kim, Jae-Sik ; Huh, Youngki |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2023.24.6.074 |
| Keywords |
Unstructed Data; Architectural Review; Small and Medium-sized Apartment; Multidimensional Scale |
| Abstract |
This study examines the characteristics of architectural review opinions as unstructured data, focusing on the most challenging risk for developers of small and medium-sized apartment projects in response to the increasing number of singleperson households in Korea. Using multidimensional analysis methods, the study analyzes the review opinions of 25 projects in B City. Correspondence analysis and MDS (Multidimensional Scale) analysis show that, consistent with prior research, the keywords related to 'structure' and 'planning' dominate architectural review opinions in B City. While the MDS model's stress is very poor at 34.4%, correspondence analysis reveals that this is due to the characteristics of unstructured data in architectural reviews. In addition, the non-structured data analyzed in this study, such as architectural review opinions, exhibited a probability distribution with low kurtosis and high skewness, as they involved various combinations and occurrences of data depending on the discretion of the review committee members and the specific formats of different local governments. This often led to the emergence of keywords that differed significantly from commonly mentioned terms. Although the study has some limitations, it provides a foundation for future detailed analysis by identifying the characteristics of architectural review opinions as unstructured data. |