Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Comparative Analysis of Public Bicycle Usage Patterns between Seoul's 'Ttareungi' and New York's 'Citi Bike'

Authors
Sim, W.Y.Shin, B.Shin, H.Lee, G.Inokuchi, H.
Issue Date
Dec-2024
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Citi Bike; environmental factors; multiple regression analysis; Public bicycle usage; random forest; regional comparisons; seasonal variations; Ttareungi
Citation
2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024, pp 1 - 4
Pages
4
Indexed
SCOPUS
Journal Title
2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024
Start Page
1
End Page
4
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/125667
DOI
10.1109/SCISISIS61014.2024.10760230
Abstract
This paper analyzes and compares the factors influencing the use of public bicycles in Seoul's 'Ttareungi' and New York's 'Citi Bike,' which operate within distinct cultural, environmental, and regional contexts, enabling a unique comparative study. A multiple regression analysis and a random forest analysis were performed using rental history data from both 'Ttareungi' and 'Citi Bike' as dependent variables. Independent variables included environmental factors such as weather and seasonal conditions. This study assesses the impact of these factors on bicycle usage behavior. Analysis results highlighted the significant influence of seasonal changes and weekend/holiday variables on public bicycle usage. Although both models yielded significant results, the random forest analysis demonstrated better accuracy and revealed distinct patterns in the importance of certain variables. The variation in coefficient values and variable importance between the two areas indicates that while environmental factors similarly affect bicycle usage patterns, regional climatic conditions have distinct influences. This paper proposes that incorporating variables such as personal and economic characteristics in future research could further enhance the analysis and help to develop strategies to promote public bicycle use. © 2024 IEEE.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Gunwoo photo

Lee, Gunwoo
ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE