Data Analytics and Blockchain in Transport Systems

Dear Colleagues,

The global demand for transport is dramatically increasing along with the rapid economic and social development worldwide. It was reported that the passenger transport will increase threefold from 2015 to 2050, while the freight demand will also triple. Meanwhile, the transport sector is recognized as having the greatest share of the increase in carbon emissions, accounting for 15-40% of the total CO2 emissions within cities. Therefore, to cope with the ever-increasing demand while realizing decarbonization, improvements in the efficiency and greenness of the transport systems are urgently needed.

The advances of Information and Communication Technologies (ICT) in recent years provide new opportunities to build more efficient and sustainable transport systems. This not only enables an integrated management of various transport resources, but also provides extensive data to support the operation management issues. Besides the various data analytics methods and decision-making tools for reaping the value of extensive transport data, the emerging technology of blockchain enables trustworthy data processing and sharing across the entire transport ecosystem. In order to promote the adoption of data analytics and blockchain technologies for more efficient and sustainable transport systems, this Special Issue aims to publish state-of-art research on the new models and approaches to data analytics and blockchain technologies, as well as their innovative solutions in transport systems. Topics include but are not limited to the following:

• New business models or concepts promoting sustainable transport systems in the blockchain era;
• Blockchain-supported infrastructures for sustainable transport systems;
• Blockchain-enabled operations management in transport systems;
• Smart contracting, risk assessment, and information sharing in transport systems using blockchain;
• Carbon peak and carbon neutrality in transport systems using data analytics or blockchain;
• Data-driven optimization for sustainable transportation with the presence of blockchain;
• Big data analytics for sustainable transport system;
• Deep-learning-enabled decision-making in transport systems.

Prof. Dr. Ming Li
Prof. Dr. Gangyan Xu
Prof. Dr. Yong Ma 
Prof. Dr. Xiaofei Kou
Guest Editors

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