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A completive research on the feasibility and adaptation of shared transportation in mega-cities – A case study in Beijing

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  • Sun, Lishan
  • Wang, Shunchao
  • Liu, Shuli
  • Yao, Liya
  • Luo, Wei
  • Shukla, Ashish

Abstract

Electric vehicle sharing (EVS) and bike sharing have been recognized as promising solutions to growingly serious problems of traffic congestion, air pollution, and insufficient parking spaces. This paper, based on the current research status, analyzes and evaluates the effect of shared transportation on alleviating or solving the traffic and environmental issues of mega-cities from five perspectives-resource, environment, convenience, economy and governance. Then, taking Beijing as a case, one of the representative giant cities, this paper investigates and analyzes the development situation, feasibility, and adaptation of shared transportation. Compared with 2015, the share of cars decreased by more than 3.2%, and the trip frequency decreased by more than 55% for private car owners in 2016. Shared transportation reduced energy consumption, nitrogen emissions and PM 2.5 by 45 million liters of gasoline, 540,000 tons and 4.5 billion mg just in one year in Beijing in 2016. The results indicate that shared transportation has an important role and potential in alleviating traffic and environmental issues of mega-cities. A series of development suggestions and some practical considerations are provided at the end, which might supply good decision-making guidance for policy makers.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:1014-1033
    DOI: 10.1016/j.apenergy.2018.09.080
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    2. Hu, Yujie & Zhang, Yongping & Lamb, David & Zhang, Mingming & Jia, Peng, 2019. "Examining and optimizing the BCycle bike-sharing system – A pilot study in Colorado, US," Applied Energy, Elsevier, vol. 247(C), pages 1-12.
    3. Mohamed, Ahmed A.S. & Wood, Eric & Meintz, Andrew, 2021. "In-route inductive versus stationary conductive charging for shared automated electric vehicles: A university shuttle service," Applied Energy, Elsevier, vol. 282(PA).
    4. Lei Wang & Wenxiang Li & Jinxian Weng & Dong Zhang & Wanjing Ma, 2023. "Do low-carbon rewards incentivize people to ridesplitting? Evidence from structural analysis," Transportation, Springer, vol. 50(5), pages 2077-2109, October.
    5. 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.
    6. Adu-Gyamfi, Gibbson & Song, Huaming & Obuobi, Bright & Nketiah, Emmanuel & Wang, Hong & Cudjoe, Dan, 2022. "Who will adopt? Investigating the adoption intention for battery swap technology for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    7. 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).
    8. Tu, Wei & Santi, Paolo & Zhao, Tianhong & He, Xiaoyi & Li, Qingquan & Dong, Lei & Wallington, Timothy J. & Ratti, Carlo, 2019. "Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing," Applied Energy, Elsevier, vol. 250(C), pages 147-160.
    9. Raafat Aburukba & A. R. Al-Ali & Ahmed H. Riaz & Ahmad Al Nabulsi & Danayal Khan & Shavaiz Khan & Moustafa Amer, 2021. "Fog Computing Approach for Shared Mobility in Smart Cities," Energies, MDPI, vol. 14(23), pages 1-19, December.
    10. 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).
    11. Hu, Beibei & Zhong, Zhenfang & Zhang, Yanli & Sun, Yue & Jiang, Li & Dong, Xianlei & Sun, Huijun, 2022. "Understanding the influencing factors of bicycle-sharing demand based on residents’ trips," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    12. Beibei Hu & Yue Sun & Huijun Sun & Xianlei Dong, 2020. "A Contrastive Study on Travel Costs of Car-Sharing and Taxis Based on GPS Trajectory Data," IJERPH, MDPI, vol. 17(24), pages 1-28, December.

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