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A hybrid big-data-based and tolerance-based method to estimate environmental benefits of electric bike sharing

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  • Liu, Yixiao
  • Tian, Zihao
  • Pan, Baoran
  • Zhang, Wenbin
  • Liu, Yunqi
  • Tian, Lixin

Abstract

This research has established a set of methods to use the data of existing docked bike sharing system to pre-estimate the emission reduction effects of docked electric bike sharing system that will be built in the future. It extracted demand through the non-homogeneous Poisson process, and used coarse-grained methods and complex network to estimate total riding distance. Tolerance assumptions were given to accurately estimate the emission reduction effect. Compared with the existing threshold assumption, it can better describe the emission reduction caused by the substitution effect. It is found that the emission reduction caused by the substitution effect after upgrading the docked bike sharing system to the docked electric bike sharing system is 4.19 times of the original. While the reduction in emissions caused by its substitution effect on taxis is three times of the original. This contains a huge emission reduction effect. If 1% of the permanent residents of Nanjing change their commuting vehicles from cars to electric bicycles, the one-way emission reduction will exceed 9.55 tonnes of carbon dioxide. This only requires them to tolerate 5 min in average.

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  • Liu, Yixiao & Tian, Zihao & Pan, Baoran & Zhang, Wenbin & Liu, Yunqi & Tian, Lixin, 2022. "A hybrid big-data-based and tolerance-based method to estimate environmental benefits of electric bike sharing," Applied Energy, Elsevier, vol. 315(C).
    • Handle: RePEc:eee:appene:v:315:y:2022:i:c:s0306261922003841
    DOI: 10.1016/j.apenergy.2022.118974
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    as
    1. Böcker, Lars & Anderson, Ellinor & Uteng, Tanu Priya & Throndsen, Torstein, 2020. "Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 389-401.
    2. Szeto, W.Y. & Shui, C.S., 2018. "Exact loading and unloading strategies for the static multi-vehicle bike repositioning problem," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 176-211.
    3. Lu-Yi Qiu & Ling-Yun He, 2018. "Bike Sharing and the Economy, the Environment, and Health-Related Externalities," Sustainability, MDPI, vol. 10(4), pages 1-10, April.
    4. Ba Hung, Nguyen & Jaewon, Sung & Lim, Ocktaeck, 2017. "A study of the effects of input parameters on the dynamics and required power of an electric bicycle," Applied Energy, Elsevier, vol. 204(C), pages 1347-1362.
    5. Dell’Amico, Mauro & Iori, Manuel & Novellani, Stefano & Subramanian, Anand, 2018. "The Bike sharing Rebalancing Problem with Stochastic Demands," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 362-380.
    6. Zhang, Jie & Meng, Meng & Wong, Yiik Diew & Ieromonachou, Petros & Wang, David Z.W., 2021. "A data-driven dynamic repositioning model in bicycle-sharing systems," International Journal of Production Economics, Elsevier, vol. 231(C).
    7. Zhang, J. & Meng, M. & Wang, David, Z.W., 2019. "A dynamic pricing scheme with negative prices in dockless bike sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 201-224.
    8. Shaheen, Susan & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future," Institute of Transportation Studies, Working Paper Series qt79v822k5, Institute of Transportation Studies, UC Davis.
    9. Cherry, Christopher R. & Yang, Hongtai & Jones, Luke R. & He, Min, 2016. "Dynamics of electric bike ownership and use in Kunming, China," Transport Policy, Elsevier, vol. 45(C), pages 127-135.
    10. Sui, Yi & Zhang, Haoran & Shang, Wenlong & Sun, Rencheng & Wang, Changying & Ji, Jun & Song, Xuan & Shao, Fengjing, 2020. "Mining urban sustainable performance: Spatio-temporal emission potential changes of urban transit buses in post-COVID-19 future," Applied Energy, Elsevier, vol. 280(C).
    11. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    12. Li, Yanfeng & Liu, Yang, 2021. "The static bike rebalancing problem with optimal user incentives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    13. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.
    14. Cherry, Christopher & Cervero, Robert, 2007. "Use characteristics and mode choice behavior of electric bike users in China," Transport Policy, Elsevier, vol. 14(3), pages 247-257, May.
    15. Brand, Christian & Goodman, Anna & Ogilvie, David, 2014. "Evaluating the impacts of new walking and cycling infrastructure on carbon dioxide emissions from motorized travel: A controlled longitudinal study," Applied Energy, Elsevier, vol. 128(C), pages 284-295.
    16. Li, Chunzhi & Xiao, Wei & Zhang, Dayong & Ji, Qiang, 2021. "Low-carbon transformation of cities: Understanding the demand for dockless bike sharing in China," Energy Policy, Elsevier, vol. 159(C).
    17. Fishman, Elliot & Washington, Simon & Haworth, Narelle & Watson, Angela, 2015. "Factors influencing bike share membership: An analysis of Melbourne and Brisbane," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 17-30.
    18. Mengwei Chen & Dianhai Wang & Yilin Sun & E. Owen D. Waygood & Wentao Yang, 2020. "A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China," Transportation, Springer, vol. 47(2), pages 689-704, April.
    19. Hung, Nguyen Ba & Lim, Ocktaeck, 2020. "A review of history, development, design and research of electric bicycles," Applied Energy, Elsevier, vol. 260(C).
    20. Sun, Lishan & Wang, Shunchao & Liu, Shuli & Yao, Liya & Luo, Wei & Shukla, Ashish, 2018. "A completive research on the feasibility and adaptation of shared transportation in mega-cities – A case study in Beijing," Applied Energy, Elsevier, vol. 230(C), pages 1014-1033.
    21. Zhiwei Chen & Yucong Hu & Jutint Li & Xing Wu, 2020. "Optimal Deployment of Electric Bicycle Sharing Stations: Model Formulation and Solution Technique," Networks and Spatial Economics, Springer, vol. 20(1), pages 99-136, March.
    22. Juan Qin & Stephanie Lee & Xiangbin Yan & Yong Tan, 2018. "Beyond solving the last mile problem: the substitution effects of bike-sharing on a ride-sharing platform," Journal of Business Analytics, Taylor & Francis Journals, vol. 1(1), pages 13-28, January.
    23. Elliot Fishman & Christopher Cherry, 2016. "E-bikes in the Mainstream: Reviewing a Decade of Research," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 72-91, January.
    24. Lin, Xiao & Wells, Peter & Sovacool, Benjamin K., 2017. "Benign mobility? Electric bicycles, sustainable transport consumption behaviour and socio-technical transitions in Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 223-234.
    25. Cheng, Long & Yang, Junjian & Chen, Xuewu & Cao, Mengqiu & Zhou, Hang & Sun, Yu, 2020. "How could the station-based bike sharing system and the free-floating bike sharing system be coordinated?," Journal of Transport Geography, Elsevier, vol. 89(C).
    26. Jana A. Hirsch & Joshua Stratton-Rayner & Meghan Winters & John Stehlin & Kate Hosford & Stephen J. Mooney, 2019. "Roadmap for free-floating bikeshare research and practice in North America," Transport Reviews, Taylor & Francis Journals, vol. 39(6), pages 706-732, November.
    27. Jonathan Weinert & Chaktan Ma & Christopher Cherry, 2007. "The transition to electric bikes in China: history and key reasons for rapid growth," Transportation, Springer, vol. 34(3), pages 301-318, May.
    28. Shaheen, Susan A & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present and Future," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6qg8q6ft, Institute of Transportation Studies, UC Berkeley.
    29. Shang, Wen-Long & Chen, Jinyu & Bi, Huibo & Sui, Yi & Chen, Yanyan & Yu, Haitao, 2021. "Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis," Applied Energy, Elsevier, vol. 285(C).
    30. Schuijbroek, J. & Hampshire, R.C. & van Hoeve, W.-J., 2017. "Inventory rebalancing and vehicle routing in bike sharing systems," European Journal of Operational Research, Elsevier, vol. 257(3), pages 992-1004.
    31. Ma, Xinwei & Ji, Yanjie & Yuan, Yufei & Van Oort, Niels & Jin, Yuchuan & Hoogendoorn, Serge, 2020. "A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 148-173.
    32. Hung, Nguyen Ba & Sung, Jaewon & Lim, Ocktaeck, 2018. "A simulation and experimental study of operating performance of an electric bicycle integrated with a semi-automatic transmission," Applied Energy, Elsevier, vol. 221(C), pages 319-333.
    33. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
    34. Tomasz Bieliński & Łukasz Dopierała & Maciej Tarkowski & Agnieszka Ważna, 2020. "Lessons from Implementing a Metropolitan Electric Bike Sharing System," Energies, MDPI, vol. 13(23), pages 1-21, November.
    35. Nikolaos-Fivos Galatoulas & Konstantinos N. Genikomsakis & Christos S. Ioakimidis, 2020. "Spatio-Temporal Trends of E-Bike Sharing System Deployment: A Review in Europe, North America and Asia," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    36. Zhang, Haoran & Song, Xuan & Long, Yin & Xia, Tianqi & Fang, Kai & Zheng, Jianqin & Huang, Dou & Shibasaki, Ryosuke & Liang, Yongtu, 2019. "Mobile phone GPS data in urban bicycle-sharing: Layout optimization and emissions reduction analysis," Applied Energy, Elsevier, vol. 242(C), pages 138-147.
    37. Pikora, Terri & Giles-Corti, Billie & Bull, Fiona & Jamrozik, Konrad & Donovan, Rob, 2003. "Developing a framework for assessment of the environmental determinants of walking and cycling," Social Science & Medicine, Elsevier, vol. 56(8), pages 1693-1703, April.
    38. Haider, Zulqarnain & Nikolaev, Alexander & Kang, Jee Eun & Kwon, Changhyun, 2018. "Inventory rebalancing through pricing in public bike sharing systems," European Journal of Operational Research, Elsevier, vol. 270(1), pages 103-117.
    39. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    40. Xing, Yingying & Wang, Ke & Lu, Jian John, 2020. "Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 87(C).
    41. Dong, Hongming & Zhong, Shiquan & Xu, Shuxian & Tian, Junfang & Feng, Zhongxiang, 2021. "The relationships between traffic enforcement, personal norms and aggressive driving behaviors among normal e-bike riders and food delivery e-bike riders," Transport Policy, Elsevier, vol. 114(C), pages 138-146.
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