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Sustainable Renewal Methods of Urban Public Parking Spaces under the Scenario of Shared Autonomous Vehicles (SAV): A Review and a Proposal

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  • Bing Xia

    (Center for Balance Architecture, Zhejiang University, Hangzhou 310028, China
    State Key Laboratory of Green Building in Western China, Xian University of Architecture & Technology, Xian 710055, China
    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Jindong Wu

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Jiaqi Wang

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Yitao Fang

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Haodi Shen

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Jingli Shen

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

Abstract

Shared autonomous vehicles (SAVs) will be an important force to in reshaping urban morphology. The high operation rate and sharing degree of SAV are considered to result in a great reduction in parking area in future cities. Parking space is now a huge and widely distributed urban stock space type, which is bound to become a major challenge and opportunity for sustainable urban renewal in the digital era. Based on the SAV scenario, this paper reviews the current research on the sustainable renewal of urban public parking spaces, and proposes the four key issues involved: how much to renew (i.e., demand forecast analysis), when to renew (i.e., update time series evaluation), what to renew (i.e., function replacement decision) and how to update (i.e., design empirical research). Furthermore, it puts forward a preliminary idea on, and constructs a research framework for, the sustainable renewal methods of parking space under the SAV scenario. Finally, the theoretical, practical and policy implications of the research on sustainable renewal methods of urban public parking space are discussed. It will have great reference value for the redevelopment and reuse of the urban space types including fragmented, widely distributed and large-scale.

Suggested Citation

  • Bing Xia & Jindong Wu & Jiaqi Wang & Yitao Fang & Haodi Shen & Jingli Shen, 2021. "Sustainable Renewal Methods of Urban Public Parking Spaces under the Scenario of Shared Autonomous Vehicles (SAV): A Review and a Proposal," Sustainability, MDPI, vol. 13(7), pages 1-21, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3629-:d:523580
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    References listed on IDEAS

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    1. Zhiyong Yi & Guiwen Liu & Wei Lang & Asheem Shrestha & Igor Martek, 2017. "Strategic Approaches to Sustainable Urban Renewal in Developing Countries: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 9(8), pages 1-19, August.
    2. Konstanze Winter & Oded Cats & Karel Martens & Bart Arem, 0. "Relocating shared automated vehicles under parking constraints: assessing the impact of different strategies for on-street parking," Transportation, Springer, vol. 0, pages 1-35.
    3. Taozhi Zhuang & Queena K. Qian & Henk J. Visscher & Marja G. Elsinga, 2017. "Stakeholders’ Expectations in Urban Renewal Projects in China: A Key Step towards Sustainability," Sustainability, MDPI, vol. 9(9), pages 1-21, September.
    4. Bansal, Prateek & Kockelman, Kara M., 2017. "Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 49-63.
    5. Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene & Samarjit Kar, 2019. "Multi-Objective and Multi-Attribute Optimization for Sustainable Development Decision Aiding," Sustainability, MDPI, vol. 11(11), pages 1-6, May.
    6. Guiwen Liu & Zhiyong Yi & Xiaoling Zhang & Asheem Shrestha & Igor Martek & Lizhen Wei, 2017. "An Evaluation of Urban Renewal Policies of Shenzhen, China," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    7. Itf, 2015. "Urban Mobility System Upgrade: How shared self-driving cars could change city traffic," International Transport Forum Policy Papers 6, OECD Publishing.
    8. Nourinejad, Mehdi & Bahrami, Sina & Roorda, Matthew J., 2018. "Designing parking facilities for autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 110-127.
    9. Fábio Duarte & Carlo Ratti, 2018. "The Impact of Autonomous Vehicles on Cities: A Review," Journal of Urban Technology, Taylor & Francis Journals, vol. 25(4), pages 3-18, October.
    10. Yan Wang & Yujie Wang & Xiuyu Wu & Jiwang Li, 2020. "Exploring the Risk Factors of Infrastructure PPP Projects for Sustainable Delivery: A Social Network Perspective," Sustainability, MDPI, vol. 12(10), pages 1-26, May.
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    Cited by:

    1. Bing Xia & Yichen Ruan, 2022. "Function Replacement Decision-Making for Parking Space Renewal Based on Association Rules Mining," Land, MDPI, vol. 11(2), pages 1-23, January.
    2. Ali Alamdar Moghaddam & Hamid Mirzahossein & Robert Guzik, 2022. "Comparing Inequality in Future Urban Transport Modes by Doughnut Economy Concept," Sustainability, MDPI, vol. 14(21), pages 1-24, November.

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