Browse > Article
http://dx.doi.org/10.9715/KILA.2020.48.1.001

Spatio-Temporal Patterns of a Public Bike Sharing System in Seoul - Focusing on Yeouido District -  

Yun, Seung-yong (Interdisciplinary Program in Landscape Architecture, Graduate School of Environmental Studies, Seoul National University)
Min, Kyung-hun (Environmental Science and Landscape Architecture Course, Chiba University)
Ko, Ha-jung (Korea Safety Health Environment Foundation)
Publication Information
Journal of the Korean Institute of Landscape Architecture / v.48, no.1, 2020 , pp. 1-14 More about this Journal
Abstract
Various policies and studies regarding use of PBSS (Public Bike Sharing System) and Programs (PBSP) have been conducted worldwide as the number systems or programs has increased. Although various phenomena and demands have been generated by the use of PBSS in everyday life, the majority of research and the policies in South Korea have been implemented focused on commuting life. The purpose of this study aimed to understand various PBSS demands using PBSS usage data in 2018 in the Yeouido districts through classifying usage patterns and analyzing features. The rental stations were classified into three types based on weekday/weekend usage rates. The usage of Yeouido's PBSS accounted for 4.3% of the total usage in Seoul Metropolitan City, while the number of PBSS rental stations accounted for 2% of all rental stations in the Seoul urban areas. Rental stations with a higher weekday utilization rates showed high utilization rates in all four seasons and were mainly distributed in work and residential areas. Other stations showed a concentrated usage pattern in spring (April-May) and autumn (September-October) seasons, and their locations were close to the entrance of nearby parks. Besides, renting and returning were often concentrated at certain rental stations for high weekend utilization as compared to the pattern of high weekday usage. Therefore, PBSS management and programs should be operated to reflect various usage demands rather than uniform PBSS operations. The result of this study is meaningful to provide basic data for effective PBSS operation by monitoring the demand for PBSS usage in spatio-temporal terms.
Keywords
Public Bicycle Sharing System(PBSS); Spatio-Temporal Analysis; Urban Park; Big Data; Yeouido;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Borgnat, P., P. Abry, P. Flandrin, C. Robardet, J. Rouquier and E. Fleury(2011) Shared bicycles in a city: A signal processing and data analysis perspective, Advances in Complex Systems 14(3): 415-438.   DOI
2 Buck, D. and R. Buehler(2012) Bike lanes and other determinants of capital bike share trips. In: Paper Presented at the 91st Annual Meeting of the Transportation Research Board, Washington, Washington DC.
3 Buck, D., R. Buehler, P. Happ, B. Rawls, P. Chung and N. Borecki (2013) Are bikeshare users different from regular cyclists? A first look at short-term users, annual members, and area cyclists in the Washington, D. C., Region. Transportation Research Record Journal of the Transportation Research Board 2387(1): 112-119.   DOI
4 Chardon, C. M., G. Caruso and I. Thomas(2016) Bike-share rebalancing strategies, patterns, and purpose. Journal of Transport Geography 55: 22-39.   DOI
5 Davis, A. and N. A. Cavill(2007) Cycling and Health; What's the evidence?. Cycling England.
6 Demaio, P.(2009) Bike-sharing: History, impacts, models of provision, and future. Journal of Public Transportation 12(4):41-56.   DOI
7 Do, M. S. and Y. S. Noh(2014) Analysis of the affecting factors on the bike-sharing demand focused on Daejeon City. Journal of The Korean Society of Civil Engineers 34(5): 1517-1524.   DOI
8 El-Assi, W., M. Salah Mahmoud and K. Nurul Habib(2017) Effects of built environment and weather on bike sharing demand: A station level analysis of commercial bike sharing in Toronto. Transportation 44: 589-613.   DOI
9 Faghih-Imani, A. and N. Eluru(2016) Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system. Journal of Transport Geography 54: 218-227.   DOI
10 Fishman, E., S. Washington, N. Haworth and A. Watson(2015) Factors influencing bike share membership: An analysis of Melbourne and Brisbane. Transportation Research Part A: Policy and Practice 71: 17-30.   DOI
11 Kaltenbrunner, A., R. Meza, J. Grivolla and J. Codina(2010) Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system. Pervasive and Mobile Computing 6(4): 455-466.   DOI
12 Froehlich, J., J. Neumann and N. Oliver(2009) Sensing and predicting the pulse of the city through shared bicycling. IJCAI 2009 Proceedings of the 21st International Joint Conference on Artificial Intelligence: 11-17.
13 Heinen, E., K. Maat and B. Wee(2011) The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances. Transportation Research Part D: Transport and Environment 16(2): 102-109.   DOI
14 Jang, J. M., T. H. Gim and M. Y. Lee(2016) A study on the Seoul public bikes use characteristics: A case of the districts of Yeouido and Sangam. The Seoul Institute 17(4): 77-91.
15 KITA(2018) Recent trends in China's shared bicycle industry and implications(report). Korea International Trade Association: Chengdu Center.
16 O'Brien, O., J. Cheshire and M. Batty(2014) Mining bicycle sharing data for generating insights into sustainable transport systems. Journal of Transport Geography 34: 262-273.   DOI
17 KOTI(2018) A Study on Revision of Master Plan for Sustainable National Transportation Logistics. Korea. Ministry of Land, Infrastructure and Transport.
18 Maurer, L. K.(2012) Feasibility study for a bicycle sharing program in Sacramento, California. In: Paper presented at the 91st Annual Meeting of the Transportation Research Board, Washington, D.C.
19 Moon, H. G., D. P. Kim, S. H. Choi and J. O. Kwon(2014) Classification analysis of the physical environment of bicycle road: Focused on Chang Won city, Kyung Nam province, S. Korea. Korean Journal of Environment and Ecology 28(3): 365-373.   DOI
20 Guo, Y., J. Zhou, Y. Wu and Z. Li(2017) Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo China. PLoS One 12: e0185100.   DOI
21 Parkin, J., M. Wardman and M. Page(2008) Estimation of the determinants of bicycle mode share for the journey to work using census data. Transportation 35:93-109.   DOI
22 Sa, K. E. and S. G. Lee(2018) Analysis of physical characteristics affecting the usage of public bike in Seoul, Korea: Focused on the different influences of factors by distance to bike station. Journal of Korea Planning Association 53(6): 39-59.   DOI
23 Shaheen, S. A., S. Guzman and H. Zhang(2010) Bikesharing in Europe, the Americas, and Asia. 2010 Transportation Research Recode 2143(1):159-167.
24 Wood, J., A. Slingsby and J. Dykes(2011) Visualizing the dynamics of London's bicycle hire scheme. Cartographica 46(4): 239-251.   DOI
25 Korea National Spatial Data Infrastructure Portal Open API, http://openapi.nsdi.go.kr/ accessed 2020.1.9.
26 Zhang, Y., T. Thomas, M. Brussel and A. Maarseveen(2016) Expanding bicycle-sharing systems: Lessons learnt from an analysis of usage. PLoS One 11(12): e0168604.   DOI
27 Zhou, X.(2015) Understanding spatiotemporal patterns of biking behavior by analyzing massive bike sharing data in Chicago. PLoS One 10(10): e0137922.   DOI
28 City Lab, https://www.citylab.com/city-makers-connections/bikeshare/accessed 2020.1.9.
29 Metro Bike, http://www.metrobike.net/ accessed 2019.8.7.
30 Seoul Open Data Plaza, http://data.seoul.go.kr/ accessed 2019.11.24.