IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/yn67b_v1.html
   My bibliography  Save this paper

Transforming Urban Mobility: The Role of AI and Blockchain in Shenzhen’s Smart Transportation Infrastructure (2024-2025)

Author

Listed:
  • Xu, Lei

Abstract

This paper investigates the implementation of artificial intelligence (AI) and blockchain technologies in the smart transportation infrastructure of Shenzhen between 2024 and 2025. It analyzes Shenzhen's electrification of public transport, integration of AI for traffic signal optimization, and deployment of AI-enhanced passenger safety systems. The paper also examines the role of blockchain in ensuring secure, decentralized data exchange, and energy trading protocols for electric vehicles. Additionally, challenges such as data interoperability, security, and ethical governance are discussed. The findings provide insights into how emerging technologies can transform urban mobility and establish a replicable model for global smart city development.

Suggested Citation

  • Xu, Lei, 2025. "Transforming Urban Mobility: The Role of AI and Blockchain in Shenzhen’s Smart Transportation Infrastructure (2024-2025)," OSF Preprints yn67b_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:yn67b_v1
    DOI: 10.31219/osf.io/yn67b_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/67fbd988ed8f922e6b763a54/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/yn67b_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:osf:osfxxx:yn67b_v1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.