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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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Yi Zhu, Wanchen Diao and Hu Zhao
Decades ago, bicycles used to play an important role in urban transportation in Chinese cities, but they have been gradually replaced by private cars, metro, buses, and some other modes, owning to the fast-growing mobility demand as a result of urban exp...
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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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Sefrani Isdarmayani Siregar, Syamsyarief Baqaruzi, Rachmad Hidayatullah
Pág. 307 - 312
As technology grows, so does the consumption of energy, especially electricity. Today, electricity has become the most used energy worldwide and the demand keeps on increasing every year. According to PLN annual report the highest electricity consumption...
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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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Joerg Schweizer, Cristian Poliziani, Federico Rupi, Davide Morgano and Mattia Magi
A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the eval...
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Martin Knura, Florian Kluger, Moris Zahtila, Jochen Schiewe, Bodo Rosenhahn and Dirk Burghardt
With cities reinforcing greener ways of urban mobility, encouraging urban cycling helps to reduce the number of motorized vehicles on the streets. However, that also leads to a significant increase in the number of bicycles in urban areas, making the que...
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Xiaofei Zhao, Caiyi Hu, Zhao Liu and Yangyang Meng
Many kinds of spatial?temporal data collected by transportation systems, such as user order systems or automated fare-collection (AFC) systems, can be discretized and converted into time-series data. With the technique of time-series data mining, certain...
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Zhihui Gu, Yong Zhu, Yan Zhang, Wanyu Zhou and Yu Chen
Station-free bike sharing systems (BSSs) are a new type of public bike system that has been widely deployed in China since 2017. However, rapid growth has vastly outpaced the immediate demand and overwhelmed many cities around the world. This paper propo...
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Federico Rupi, Cristian Poliziani and Joerg Schweizer
This research describes numerical methods to analyze the absolute transport demand of cyclists and to quantify the road network weaknesses of a city with the aim to identify infrastructure improvements in favor of cyclists. The methods are based on a com...
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