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Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area

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  • Xie, Xiao-Feng
  • Wang, Zunjing Jenipher

Abstract

Bikesharing has gradually become an adopted form of mobility in urban area recent years as one sustainable transportation mode to bring us many social, environmental, economic, and health-related benefits and rewards. There is increased research toward better understanding of bikesharing systems (BSS) in urban environments. However, our comprehension remains incomplete on the patterns and characteristics of BSS. In this paper, aiming to help improving sustainability in multimodal transportation through BSS, we perform a systematic data analysis to examine underlying patterns and characteristics of the system dynamics in a bikeshare network and to acquire implications of the patterns and characteristics for decision making. As a case study, we use trip history data from the Capital Bikeshare system in the Washington DC area and some additional data sources. The study covers seven important aspects of bikeshare transportation systems, which are respectively trip demand and flow, operating activities, use and idle times, trip purpose, origin-destination flows, mobility, and safety. For these aspects, by using appropriate statistical methods and geographic techniques, we investigate travel patterns and characteristics of BSS from data to evaluate the qualitative and quantitative impacts of the inputs from key stakeholders on main measures of effectiveness such as trip costs, mobility, safety, quality of service, and operational efficiency, where key stakeholders include road users, system operators, and city. We also disclose some new patterns and characteristics of BSS to advance the knowledge on travel behaviors. Finally, we briefly summarize our findings and discuss the implications of the patterns and characteristics for data-driven decision supports from the relations between BSS and key stakeholders for promoting bikeshare utilization and transforming urban transportation to be more sustainable.

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  • Xie, Xiao-Feng & Wang, Zunjing Jenipher, 2018. "Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area," Journal of Transport Geography, Elsevier, vol. 71(C), pages 84-102.
    • Handle: RePEc:eee:jotrge:v:71:y:2018:i:c:p:84-102
    DOI: 10.1016/j.jtrangeo.2018.07.010
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    Cited by:

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    2. Sun, Qingqing & Chen, Hong & Long, Ruyin & Yang, Jiahui, 2023. "Who will pay for the “bicycle cemetery”? Evolutionary game analysis of recycling abandoned shared bicycles under dynamic reward and punishment," European Journal of Operational Research, Elsevier, vol. 305(2), pages 917-929.
    3. Sina Shokoohyar & Amirsalar Jafari Gorizi & Vahid Ghomi & Weimin Liang & Hak J. Kim, 2022. "Sustainable Transportation in Practice: A Systematic Quantitative Review of Case Studies," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
    4. Alexandra Cortez-Ordoñez & Ana Belén Tulcanaza-Prieto, 2023. "The Effect of Gender and Age in Small Bicycle Sharing Systems: Case Study from Logroño, Spain," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    5. Lehua Bi & Shaorui Zhou & Jianjie Ke & Xiaoming Song, 2023. "Knowledge-Mapping Analysis of Urban Sustainable Transportation Using CiteSpace," Sustainability, MDPI, vol. 15(2), pages 1-29, January.
    6. Wu, Chunliang & Kim, Inhi, 2020. "Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 52-71.
    7. Qiu, Waishan & Chang, Hector, 2021. "The interplay between dockless bikeshare and bus for small-size cities in the US: A case study of Ithaca," Journal of Transport Geography, Elsevier, vol. 96(C).
    8. Schimohr, Katja & Scheiner, Joachim, 2021. "Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption," Journal of Transport Geography, Elsevier, vol. 92(C).
    9. Li, Shaoying & Zhuang, Caigang & Tan, Zhangzhi & Gao, Feng & Lai, Zhipeng & Wu, Zhifeng, 2021. "Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China," Journal of Transport Geography, Elsevier, vol. 91(C).
    10. Kuo, Pei-Fen & Shen, Chung-Wei & Chiu, Chui-Sheng, 2021. "The impact of large-scale events: A difference-in-difference model for a Pokémon go safari zone event in Tainan and its effect on bikeshare systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 283-299.

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