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Yu Chen, Yuehong Chen and Yuqi Lu
Decarbonizing the transport sector using electric vehicles (EVs) is a vital pathway for China to achieve the carbon peak and carbon neutrality goals. Despite the unprecedented growth of EV diffusion in China, little information is available for the spati...
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Zekun Xu, Yu Wang, Guihou Sun, Yuehong Chen, Qiang Ma and Xiaoxiang Zhang
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches fo...
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Peng Tang, Yuehong Dai and Junfeng Chen
This paper studies the multi-source disturbances attenuation problem on the yaw motion of unmanned aerial helicopter with a variable-speed rotor. The yaw motion subsystem dominated by an electrically-driven tail rotor is firstly introduced, and its traje...
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Kainan Mao, Yuehong Chen, Guohao Wu, Junwang Huang, Wanying Yang and Zelong Xia
The measurement of spatial accessibility of fire services is a key task in enhancing fire response efficiency and minimizing property losses and deaths. Recently, the two-step floating catchment area method and its modified versions have been widely appl...
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Zelong Xia, Hao Li, Yuehong Chen and Weisheng Liao
Pick-up and drop-off events of taxi trajectory data contain rich information about residents? travel activities and road traffic. Such data have been widely applied in urban hotspot detection in recent years. However, few studies have attempted to delimi...
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Zelong Xia, Hao Li, Yuehong Chen and Wenhao Yu
Assessing the access to fire service at an urban scale involves accounting for geographical impedance, demand, and supply, thus both spatial and non-spatial dimensions must be taken into account. Therefore, in this paper, an optimized two-step floating c...
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Zelong Xia, Hao Li and Yuehong Chen
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