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Sustainable Transportation Collaborative Innovation
Submission DeadlineNov. 30, 2021

Submission Guidelines: http://www.sciencepublishinggroup.com/home/submission

Lead Guest Editor
Yong Wang
School of Transportation, Wuhan University of Technology, Wuhan, Hubei, China
Guest Editors
  • Xudong Deng
    School of Management, Wuhan University of Science and Technology, Wuhan, Hubei, China
  • Daniel Tesfamariam Semere
    ITM School, KTH Royal Institute of Technology, Stockholm, Sweden
  • Xiaowei Zhu
    School of E-commerce, Wuhan Technology and Business University, Wuhan, Hubei, China
  • Peilin Zhang
    School of Transportation, Wuhan University of Technology, Wuhan, Hubei, China
  • Haiyan Wang
    School of Management, Zhejiang Gongshang University, Hangzhou, Zhejiang, China
  • Bin Yang
    School of Management, Shanghai Marine University, Shanghai, China
With the development of scientific information technology in recent years, the application of Internet of Things, big data and other technologies in computer technology has become increasingly mature. As a result, sustainable transportation and logistics came into being and gradually developed. The application of smart transportation and logistics can realize the sharing of resource information, optimize related resource allocation, and improve the efficiency of operation and management. It can be presented in front of the public. Therefore, it is necessary to follow the trend of the times in the era of big data,strengthen the important role and influence of sustainable transportation and logistics on society.
This Special Issue mainly discusses the latest research results and progress in sustainable transportation, logistics and big data, and adheres to the principle of combining theoretical research with empirical analysis, qualitative analysis and quantitative analysis.
Through the research of the research field, the deep learning, knowledge calculation, visual transformation and other aspects of the dynamic development of big data will be analyzed, combined with the specific application scenarios such as multimedia display and early warning prompts in wisdom, and combined with typical empirical cases for analysis.
On the one hand, it theoretically reveals the ways, methods and scope of the coordinated development of big data and sustainable transportation and logistics, providing services for transportation and logistics management system reform, big data system construction, sustainable transportation and logistics, and big data. It is related public service system construction. To provide suggestions and References, for promoting smart transportation, logistics and big data development; on the other hand, based on the analysis results of specific empirical objects, propose corresponding improvement measures.
Aims and Scope:
  1. Sustainable Development
  2. Transportation Engineering and Planning
  3. Supply Chain
  4. Big Data
  5. Smart Technology and Information Technology
  6. Logistics
Guidelines for Submission
Manuscripts should be formatted according to the guidelines for authors
(see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=514).

Please download the template to format your manuscript.

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