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Optimization Strategy for the Spatiotemporal Layout of E-Bike Charging Piles from the Perspective of Sustainable Campus Planning: A Case Study of Zijingang Campus of Zhejiang University

Author

Listed:
  • Su Wang

    (Institute of Architectural Design and Theoretical Research, Zhejiang University, Hangzhou 310058, China
    The Architectural Design and Research Institute of Zhejiang University Co., Ltd., Hangzhou 310027, China
    These authors contributed equally to this work.)

  • Haihui Xie

    (Institute of Architectural Design and Theoretical Research, Zhejiang University, Hangzhou 310058, China
    The Architectural Design and Research Institute of Zhejiang University Co., Ltd., Hangzhou 310027, China
    These authors contributed equally to this work.)

  • Binwei Yun

    (Institute of Architectural Design and Theoretical Research, Zhejiang University, Hangzhou 310058, China
    The Architectural Design and Research Institute of Zhejiang University Co., Ltd., Hangzhou 310027, China)

  • Xincheng Pu

    (Institute of Architectural Design and Theoretical Research, Zhejiang University, Hangzhou 310058, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310027, China)

  • Zhi Qiu

    (Institute of Architectural Design and Theoretical Research, Zhejiang University, Hangzhou 310058, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310027, China)

Abstract

With the expansion of Chinese university campuses, electric bikes (E-bikes) have become the most sustainable and effective commuting option because they are a flexible and energy-saving travel mode. Consequently, campus E-bike charging piles have become one of the most essential public service facilities on campuses. However, since most Chinese campuses are closed and independent, the principles of urban public service facilities cannot be simply applied to the layout and use of campus charging facilities. Thus, this study focuses on Zijingang Campus at Zhejiang University, and proposes an optimization strategy for the spatial and temporal layout of E-bike charging piles on the campus. First, trip chain demand models are constructed to examine the travel patterns of E-bike users on campus and the demands for charging areas and time. Second, a space location model is constructed to locate the charging piles in areas with high demand. Finally, according to the charging times of different users, user charging time is integrated into the strategy. This study enhances the layout and utilization system of campus E-bike charging facilities by considering both temporal and spatial dimensions. Overall, this study contributes to the advancement of sustainable transportation infrastructure planning on a campus-wide scale, offering theoretical insights for the design and utilization of functional facilities in large-scale, semi-enclosed environments (e.g., university campuses).

Suggested Citation

  • Su Wang & Haihui Xie & Binwei Yun & Xincheng Pu & Zhi Qiu, 2024. "Optimization Strategy for the Spatiotemporal Layout of E-Bike Charging Piles from the Perspective of Sustainable Campus Planning: A Case Study of Zijingang Campus of Zhejiang University," Sustainability, MDPI, vol. 16(13), pages 1-29, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5690-:d:1428320
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    References listed on IDEAS

    as
    1. Shengjun Liu & Hongqian Guo & Lihong Su, 2023. "Evaluation of Quality of Life in Urban Life Circles from a Composite Perspective of Subjective Needs and the Supply of Public Amenities: A Case Study of Changbai Island, Shenyang," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    2. Fandi Achmad & Yudha Prambudia & Augustina Asih Rumanti, 2023. "Improving Tourism Industry Performance through Support System Facilities and Stakeholders: The Role of Environmental Dynamism," Sustainability, MDPI, vol. 15(5), pages 1-24, February.
    3. Yagcitekin, Bunyamin & Uzunoglu, Mehmet, 2016. "A double-layer smart charging strategy of electric vehicles taking routing and charge scheduling into account," Applied Energy, Elsevier, vol. 167(C), pages 407-419.
    4. S. L. Hakimi, 1964. "Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph," Operations Research, INFORMS, vol. 12(3), pages 450-459, June.
    5. Zhou, Guangyou & Zhu, Zhiwei & Luo, Sumei, 2022. "Location optimization of electric vehicle charging stations: Based on cost model and genetic algorithm," Energy, Elsevier, vol. 247(C).
    6. Weihui Mei & Lorraine Pe Symaco, 2021. "Higher Education for Development: The Role of University Towns in China," SAGE Open, , vol. 11(3), pages 21582440211, September.
    7. Zixuan Wang & Qingyuan Yang & Chuwen Wang & Lanxi Wang, 2023. "Spatial Layout Analysis and Evaluation of Electric Vehicle Charging Infrastructure in Chongqing," Land, MDPI, vol. 12(4), pages 1-18, April.
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