IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i6p1550-d213825.html
   My bibliography  Save this article

Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys

Author

Listed:
  • Fanying Zheng

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Department of Industrial and System Engineering, Zhejiang University, Hangzhou 310027, China)

  • Fu Gu

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Department of Industrial and System Engineering, Zhejiang University, Hangzhou 310027, China
    National Institute of Innovation Management, Zhejiang University, Hangzhou 310027, China)

  • Wujie Zhang

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Department of Industrial and System Engineering, Zhejiang University, Hangzhou 310027, China)

  • Jianfeng Guo

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
    School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

As an icon of sharing economy and product service systems, bicycle sharing is gaining an increasing global popularity, yet there is little knowledge about the environmental performance of this emerging traveling mode. To seek the answer to the question, the paper employs a survey-based method and a life cycle assessment (LCA) approach. We first conduct a questionnaire-based survey to identify the changes in traveling modes after the introduction of shared bicycles. The survey results show that the use of shared bicycles is more popular among young and low-income populations, and shared bicycles are predominantly used to replace walking and bus-taking. Based on the survey results, we model the environmental impacts of the changed traveling behaviors and the life cycle of shared bicycle with the aid of Gabi software. The LCA results shows that bicycle sharing is currently an environmentally friendly practice, as it brings environmental savings in all the indicators except metal consumption. Further, the results of sensitivity analysis show that aging, rising rental fees, and increasing volume of shared bicycles would impart negative impacts on the environmental performance of bicycle sharing. The findings of this work facilitate the management and development of bicycle sharing.

Suggested Citation

  • Fanying Zheng & Fu Gu & Wujie Zhang & Jianfeng Guo, 2019. "Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1550-:d:213825
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/6/1550/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/6/1550/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benjamin T. Hazen & Robert E. Overstreet & Yacan Wang, 2015. "Predicting Public Bicycle Adoption Using the Technology Acceptance Model," Sustainability, MDPI, vol. 7(11), pages 1-16, October.
    2. Bernardo Nugroho Yahya, 2017. "Overall Bike Effectiveness as a Sustainability Metric for Bike Sharing Systems," Sustainability, MDPI, vol. 9(11), pages 1-28, November.
    3. Czepkiewicz, Michał & Ottelin, Juudit & Ala-Mantila, Sanna & Heinonen, Jukka & Hasanzadeh, Kamyar & Kyttä, Marketta, 2018. "Urban structural and socioeconomic effects on local, national and international travel patterns and greenhouse gas emissions of young adults," Journal of Transport Geography, Elsevier, vol. 68(C), pages 130-141.
    4. Gillingham, Kenneth & Munk-Nielsen, Anders, 2019. "A tale of two tails: Commuting and the fuel price response in driving," Journal of Urban Economics, Elsevier, vol. 109(C), pages 27-40.
    5. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    6. Gillingham, Kenneth, 2014. "Identifying the elasticity of driving: Evidence from a gasoline price shock in California," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 13-24.
    7. Zhang, Chuanguo & Tan, Zheng, 2016. "The relationships between population factors and China's carbon emissions: Does population aging matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1018-1025.
    8. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    9. Ning Wang & Runlin Yan, 2015. "Research on Consumers’ Use Willingness and Opinions of Electric Vehicle Sharing: An Empirical Study in Shanghai," Sustainability, MDPI, vol. 8(1), pages 1-18, December.
    10. Jia, Yingnan & Fu, Hua, 2019. "Association between innovative dockless bicycle sharing programs and adopting cycling in commuting and non-commuting trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 12-21.
    11. Cherry, Christopher R. & Weinert, Jonathan X. & Yang, Xinmiao, 2009. "Comparative Environmental Impacts of Electric Bikes in China," Institute of Transportation Studies, Working Paper Series qt16k918sh, Institute of Transportation Studies, UC Davis.
    12. 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.
    13. Chen, Peng & Jiao, Junfeng & Xu, Mengyuan & Gao, Xu & Bischak, Chris, 2018. "Promoting active student travel: A longitudinal study," Journal of Transport Geography, Elsevier, vol. 70(C), pages 265-274.
    14. Shaheen, Susan PhD & Martin, Elliot PhD & Cohen, Adam, 2013. "Public Bikesharing and Modal Shift Behavior: A Comparative Study of Early Bikesharing Systems in North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7010k9p3, Institute of Transportation Studies, UC Berkeley.
    15. Lars Böcker & Toon Meelen, 2016. "Sharing for people, planet or profit? Analysing motivations for intended sharing economy participation," Innovation Studies Utrecht (ISU) working paper series 16-02, Utrecht University, Department of Innovation Studies, revised Aug 2016.
    16. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    17. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    18. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.
    19. Murillo, David & Buckland, Heloise & Val, Esther, 2017. "When the sharing economy becomes neoliberalism on steroids: Unravelling the controversies," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 66-76.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shi, Xiaoyang & Li, Zhengquan & Xia, Enjun, 2021. "The impact of ride-hailing and shared bikes on public transit: Moderating effect of the legitimacy," Research in Transportation Economics, Elsevier, vol. 85(C).
    2. Franklin Oliveira & Dilan Nery & Daniel G. Costa & Ivanovitch Silva & Luciana Lima, 2021. "A Survey of Technologies and Recent Developments for Sustainable Smart Cycling," Sustainability, MDPI, vol. 13(6), pages 1-28, March.
    3. Xinwei Ma & Ruiming Cao & Jianbiao Wang, 2019. "Effects of Psychological Factors on Modal Shift from Car to Dockless Bike Sharing: A Case Study of Nanjing, China," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    4. Dan Wang & Liang Yan & Fangli Ruan & Xiaohuang Zeng, 2022. "An Abductive Analysis of Debates on the Impact of the Sharing Economy: A Systematic Review in a Sustainable Framework," Sustainability, MDPI, vol. 14(7), pages 1-28, March.
    5. Kunyang Chen & Guobin Zhang & Huanyu Wu & Ruichang Mao & Xiangsheng Chen, 2022. "Uncovering the Carbon Emission Intensity and Reduction Potentials of the Metro Operation Phase: A Case Study in Shenzhen Megacity," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    6. Naroa Coretti Sanchez & Luis Alonso Pastor & Kent Larson, 2022. "Can autonomy make bicycle-sharing systems more sustainable? Environmental impact analysis of an emerging mobility technology," Papers 2202.12405, arXiv.org.
    7. Haotian Ma & Xinlu Chen & Zhilei Zhen & Qian Wang, 2023. "Bicycle-sharing in Beijing: An Assessment of Economic, Environmental, and Health Effects, and Identification of Key Drivers of Environmental Performance," Networks and Spatial Economics, Springer, vol. 23(1), pages 285-316, March.
    8. Lucie Enochsson & Yuliya Voytenko Palgan & Andrius Plepys & Oksana Mont, 2021. "Impacts of the Sharing Economy on Urban Sustainability: The Perceptions of Municipal Governments and Sharing Organisations," Sustainability, MDPI, vol. 13(8), pages 1-31, April.
    9. Bretones, Alexandra & Marquet, Oriol, 2022. "Sociopsychological factors associated with the adoption and usage of electric micromobility. A literature review," Transport Policy, Elsevier, vol. 127(C), pages 230-249.
    10. Andrei Boar & Ramon Bastida & Frederic Marimon, 2020. "A Systematic Literature Review. Relationships between the Sharing Economy, Sustainability and Sustainable Development Goals," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    11. Koide, R. & Murakami, S. & Nansai, K., 2022. "Prioritising low-risk and high-potential circular economy strategies for decarbonisation: A meta-analysis on consumer-oriented product-service systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    12. Hélie Moreau & Loïc de Jamblinne de Meux & Vanessa Zeller & Pierre D’Ans & Coline Ruwet & Wouter M.J. Achten, 2020. "Dockless E-Scooter: A Green Solution for Mobility? Comparative Case Study between Dockless E-Scooters, Displaced Transport, and Personal E-Scooters," Sustainability, MDPI, vol. 12(5), pages 1-17, February.
    13. Paraskevas Nikolaou & Socrates Basbas & Ioannis Politis & Georgios Borg, 2020. "Trip and Personal Characteristics towards the Intention to Cycle in Larnaca, Cyprus: An EFA-SEM Approach," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    14. Sishen Wang & Hao Wang & Pengyu Xie & Xiaodan Chen, 2020. "Life-Cycle Assessment of Carbon Footprint of Bike-Share and Bus Systems in Campus Transit," Sustainability, MDPI, vol. 13(1), pages 1-14, December.
    15. Pol Felipe-Falgas & Cristina Madrid-Lopez & Oriol Marquet, 2022. "Assessing Environmental Performance of Micromobility Using LCA and Self-Reported Modal Change: The Case of Shared E-Bikes, E-Scooters, and E-Mopeds in Barcelona," Sustainability, MDPI, vol. 14(7), pages 1-17, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xinwei Ma & Yanjie Ji & Yuchuan Jin & Jianbiao Wang & Mingjia He, 2018. "Modeling the Factors Influencing the Activity Spaces of Bikeshare around Metro Stations: A Spatial Regression Model," Sustainability, MDPI, vol. 10(11), pages 1-12, October.
    2. Haotian Ma & Xinlu Chen & Zhilei Zhen & Qian Wang, 2023. "Bicycle-sharing in Beijing: An Assessment of Economic, Environmental, and Health Effects, and Identification of Key Drivers of Environmental Performance," Networks and Spatial Economics, Springer, vol. 23(1), pages 285-316, March.
    3. 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).
    4. Yanjie Ji & Xinwei Ma & Mingyuan Yang & Yuchuan Jin & Liangpeng Gao, 2018. "Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    5. 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.
    6. Hendrik Schmitz & Reinhard Madlener, 2020. "Heterogeneity in price responsiveness for residential space heating in Germany," Empirical Economics, Springer, vol. 59(5), pages 2255-2281, November.
    7. Yiling Deng & Pengjun Zhao, 2023. "The determinants of shared bike use in China," Transportation, Springer, vol. 50(1), pages 1-23, February.
    8. Zijia Wang & Lei Cheng & Yongxing Li & Zhiqiang Li, 2020. "Spatiotemporal Characteristics of Bike-Sharing Usage around Rail Transit Stations: Evidence from Beijing, China," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
    9. Tilov, Ivan & Weber, Sylvain, 2023. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," Energy Economics, Elsevier, vol. 127(PA).
    10. Patrick Bigler & Doina Maria Radulescu, 2022. "Environmental, Redistributive and Revenue Effects of Policies Promoting Fuel Efficient and Electric Vehicles," CESifo Working Paper Series 9645, CESifo.
    11. Jian-gang Shi & Hongyun Si & Guangdong Wu & Yangyue Su & Jing Lan, 2018. "Critical Factors to Achieve Dockless Bike-Sharing Sustainability in China: A Stakeholder-Oriented Network Perspective," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    12. 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.
    13. Tomasz Bieliński & Agnieszka Ważna, 2020. "Electric Scooter Sharing and Bike Sharing User Behaviour and Characteristics," Sustainability, MDPI, vol. 12(22), pages 1-13, November.
    14. Mingyang Du & Lin Cheng & Xuefeng Li & Jingzong Yang, 2019. "Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    15. Wang, Yacan & Douglas, Matthew & Hazen, Benjamin, 2021. "Diffusion of public bicycle systems: Investigating influences of users’ perceived risk and switching intention," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 1-13.
    16. Craglia, Matteo & Cullen, Jonathan, 2020. "Do vehicle efficiency improvements lead to energy savings? The rebound effect in Great Britain," Energy Economics, Elsevier, vol. 88(C).
    17. Randall Wigle, 2019. "The Economic Case for EV Supports? Or: Network Effects, EV Pessimism and EV Supports," LCERPA Working Papers ec0123, Laurier Centre for Economic Research and Policy Analysis, revised 23 Oct 2019.
    18. Wang, Yuanping & Hou, Lingchun & Cai, Weiguang & Zhou, Zhaoyin & Bian, Jing, 2023. "Exploring the drivers and influencing mechanisms of urban household electricity consumption in China - Based on longitudinal data at the provincial level," Energy, Elsevier, vol. 273(C).
    19. Wang, Yuanping & Hou, Lingchun & Hu, Lang & Cai, Weiguang & Wang, Lin & Dai, Cuilian & Chen, Juntao, 2023. "How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence," Energy, Elsevier, vol. 284(C).
    20. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1550-:d:213825. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.