| Title |
Analyzing the Physical Factors Influencing the Proper Size Calculation of Public Libraries |
| Authors |
김백준(Kim, Baek-Jun) ; 석민철(Suk, Min-Chul) ; 최준호(Choi, Jun-Ho) ; 이권형(Lee, Kweon-Hyoung) |
| DOI |
https://doi.org/10.5659/JAIK.2025.41.2.13 |
| Keywords |
Public Libraries; Scale Calculation; Influence Factors; Distribution Analysis; Regression Analysis |
| Abstract |
Public libraries, essential to urban communities, are evolving to improve user satisfaction and support a wide range of activities, particularly
in data preservation and education. These changes pose challenges, particularly in optimizing space usage, as libraries' size and functions shift.
This study aims to assess physical environmental data to identify factors that influence the ideal library size, moving beyond traditional
methods based on user or volunteer numbers. These conventional approaches typically stem from feasibility studies during the design phase.
The research expands on previous studies by categorizing factors into four areas: education, culture, commerce, and transportation. This
classification overcomes the limitations of existing methods, providing a more comprehensive view of the variables affecting library size. In
2019, data from 33 public libraries in Busan was analyzed, focusing on walking radii of 0?1 km and 0?2 km to understand factors impacting
visitor frequency, regardless of library size. Distribution and regression analysis were used to identify these factors and highlight each library's
unique characteristics. Nine influential factors with explanatory power greater than 0.4 were identified. A regression equation was developed,
which allowed for comparing predicted library sizes with actual conditions in Busan, revealing significant discrepancies with the space
estimates from existing guidelines. These findings indicate that traditional methods overestimate space requirements, emphasizing the need for
a more comprehensive approach, such as the regression model proposed here. This study offers a new statistical approach to determining
optimal library size, improving future library planning. |