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Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang
Pág. 115 - 142
Demand prediction plays a critical role in traffic research. The key challenge of traffic demand prediction lies in modeling the complex spatial dependencies and temporal dynamics. However, there is no mature and widely accepted concept to support the so...
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Lujin Hu, Zheng Wen, Jian Wang and Jing Hu
Understanding the regularity and determinants of mobility is indispensable for the reasonable deployment of shared bicycles and urban planning. A spatial interaction network covering streets in Beijing?s six main districts, using bike sharing data, is co...
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Shang-Yuan Chen, Tzu-Tien Chen
Pág. 146 - 156
Since dockless sharing bicycles have become an indispensable means of everyday life for urban residents, how to effectively control the supply and demand balance of bikes has become an important issue. This study aims to apply Kernel Density Estimation b...
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Alessandro Emilio Capodici, Gabriele D?Orso and Marco Migliore
Background: In a world where every municipality is pursuing the goals of more sustainable mobility, bicycles play a fundamental role in getting rid of private cars and travelling by an eco-friendly mode of transport. Additionally, private and shared bike...
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Min Cao, Shangjing Ma, Mengxue Huang, Guonian Lü and Min Chen
As a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certa...
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Min Cao, Boqin Cai, Shangjing Ma, Guonian Lü and Min Chen
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Alexandros Nikitas, Ioannis Kougias, Elena Alyavina and Eric Njoya Tchouamou
A smarter transport system that caters for social, economic and environmental sustainability is arguably one of the most critical prerequisites for creating pathways to more livable urban futures. This paper aims to provide a state-of-the-art analysis of...
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