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Segmented user demand forecasting for libraries in the 15-minute city considering users' preferences and spatial patterns.

Authors :
Ko, Sungmin
Choi, Ie-jung
Kim, Dong-guen
Shin, Jungwoo
Source :
Cities. Aug2024, Vol. 151, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

While the conditions for using libraries in South Korea are improving in terms of the concept of a 15-min city, such as the expansion of public library functions and an increase in the number of libraries, the number of users per library is declining. This phenomenon represents the necessity of advancing the understanding of library use behavior from the policy aspects of facility planning, maintenance, and management. Hence, this study analyzes the effect of library services and distance on choices regarding library use and predicted changes in library use behavior through a choice experiment and a discrete choice model. The results reveal that library services, distance, and library-use status influenced library users' and non-users' decisions regarding library use. Through predictions of library use behavior, administrative districts that provide relatively low utility are identified, and the number of library users is estimated. Considering the impact of the interaction between library services and spatial patterns on potential users, it is possible to predict different library use patterns that can help make policy decisions regarding facility planning and management. • Preferences for libraries that apply the concept of a 15-minute city are analyzed. • Potential users' choice behavior of library is economically modeled and explored. • We divided the regular library user into single, transfer, and multiple user. • Library services and spatial patterns influence decision-making on library use. • Demand is estimated considering the differences across districts in the utility provided by libraries. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02642751
Volume :
151
Database :
Academic Search Index
Journal :
Cities
Publication Type :
Academic Journal
Accession number :
177872253
Full Text :
https://doi.org/10.1016/j.cities.2024.105159