Big Data in Transportation
Description
This study incorporates time and space variables, which are highly valued in the field of transportation economics, into the big data analysis of transportation. It is based on spatiotemporal economics, big data theory, transportation economics, and other theoretical methods. The book explains the physical-information relationship, the spatiotemporal relationship, the mechanism and effect of supply and demand, and builds the spatiotemporal economic theory and analysis framework based on big data in transportation. Using big data in transportation, it experimentally investigates significant transportation economic concerns in the areas of high-speed rail, civil aviation and shared mobility. It can serve as a reference for readers interested in other connected studies as well as for theoretical workers, policy researchers, government agencies, industrial management departments, and other pertinent individuals in the transportation field.
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Persons
Hongchang Li is full professor of Economics, Vice Dean of School of Economics and Management, Beijing Jiaotong University. Prof. Li's research expertise focuses on industrial economics and transportation economics theory and ranks within top 30 of transportation economics academics in China. He has published more than 100 papers and books in both English and Chinese in leading academic journals including Transportation Research Part A, D, E, Transport Research Record, Transport Policy, The Journal of Real Estate Finance and Economics, etc. Prof. Li is PI for more than 50 national and ministerial level government funding projects. Prof. Li also serves as Steering Committee Member of WCTRS, and serves as consulting expert for China Association for Science and Technology. Prof. Li is also special economics commentator for media such as China Central Television, China Traffic Radio, etcs.
Anya Lin Gu is specialist of international affairs in Sustainable Transport Innovation Center, Beijing Jiaotong University. Her research interest lies in international education and transportation economics. She has translated the monograph entitled "The Study of High-Speed Rail Social Benefits-a study based on Spatiotemporal Economics Analysis" which was published by Springer in 2024.
Content
Chapter 1. Introduction.- Chapter 2. Relevant Review of Literature.- Chapter 3. The Theoretical Analysis Framework of Spatio-temporal Economy of Big Data in Transportation.- Chapter 4. Matching Function and the Effect Analysis of Big Data in Transportation.- Chapter 5. Application Analysis of Big Data in Transportation: High-speed Rail.- Chapter 6. Application Analysis of Big Data in Transportation: Civil Aviation.- Chapter 7. Application Analysis of Big Data in Transportation: Bicycle Sharing.- Chapter 8. Application Analysis of Big Data in Transportation: Vehicle Sharing.- Chapter 9. Application Analysis of Big Data in Transportation: Other.- Chapter 10. Conclusion and Outlook.