Exploring the Relationship between Spatiotemporal Distribution of Urban Vibrancy and Neighborhood Attributes by Coupling Multi-Source Data: A Case of Nanshan District in Shenzhen by Liu Feng, Tang Zhong, Zhang Liang, Yu Lingmin, Liu Ke

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The Study on Landslide Hazards Based on Multi-Source Data and GMLCM Approach by Zhifang Zhao, Zhengyu Li, Penghui Lv, Fei Zhao, Lei Niu

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Dynamic Response Analysis of Gearbox Housing Under the Multi- source Dynamic Excitation by Zhou Yunshan, Jin Hongguang

“…The rigid- flexible coupling multi- body dynamics model of the gear transmission system is built,the dynamic force response of bearing seat and the dynamic force of the point of suspension under the random road excitation spectrum under the gear time- varying stiffness,damping,meshing error and the torque ripple of the ISG is solved. …”
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An explainable multi-task deep learning framework for crash severity prediction using multi-source data by Yuanyuan Xiao, Zongtao Duan

“…This research establishes a robust methodological foundation for developing data-driven road safety policies and intelligent transportation systems, particularly in developing countries with complex traffic ecosystems. …”
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Evaluation of the coupling coordination effect of Hefei Rail transit station area based on supply and demand matching. by Wangyang Gui, Mengnan Cheng, Tong Zhang, Yifei Guo, Bin Xu

“…This study evaluates the development status of these two aspects in each rail transit station area explores the possibility of combining the TOD (Transit-Oriented Development) model with the concept of the 15-minute city, and focus on the importance of TOD planning and its optimization strategies, this paper takes 44 rail transit station areas within the Second Ring Road of Hefei City as examples. Through multi-source data, a "supply-demand" coupling coordination degree model is constructed to evaluate the matching status between the needs of "people" and the supply of facilities and resources in the rail transit station area, and analyze the influence mechanism of the allocation of public service resources in different communities on the rail transit station area, thus constructing a comprehensive analysis framework and practical guidelines for modern urban planning. …”
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An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…Additionally, using multi-source remote sensing data, dynamic population vulnerability, and flood hazard processes, a quantitative dynamic flood risk analysis is conducted based on cloud models. …”
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Spatiotemporal Dynamics and Mechanisms of Coastal Rural Settlements Under Diverse Geomorphic Conditions: A Multi-Bay Analysis in Guangdong, China by Ying Pan, Siyi Feng, Ying Shi

“…Four representative bay types along Guangdong’s coast were analyzed: Hilly Ria Coast, Platform Ria Coast, Barrier-Lagoon Coast, and Estuarine Delta Coast. Using multi-source remote sensing data and optimized Geodetector modeling (1972 vs. 2022), we identified the patterns of spatiotemporal evolution and their driving forces. …”
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Climate Change and Vegetation Greening Jointly Promote the Increase in Evapotranspiration in the Jing River Basin by Luoyi Yao, Rong Wu, Zijun Wang, Tingyi Xue, Yangyang Liu, Ercha Hu, Zhongming Wen, Haijing Shi, Jiaqi Yang, Peidong Han, Yinghan Zhao, Jingyao Hu

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Research on Nonlinear Error Compensation and Intelligent Optimization Method for UAV Target Positioning by Yinglei Li, Qingping Hu, Shiyan Sun, Wenjian Ying, Xiaojia Yan

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An Integrated Method for Inverting Beach Surface Moisture by Fusing Unmanned Aerial Vehicle Orthophoto Brightness with Terrestrial Laser Scanner Intensity by Jun Zhu, Kai Tan, Feijian Yin, Peng Song, Faming Huang

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Research on Thermal Environment Influencing Mechanism and Cooling Model Based on Local Climate Zones: A Case Study of the Changsha–Zhuzhou–Xiangtan Urban Agglomeration by Mengyu Ge, Zhongzhao Xiong, Yuanjin Li, Li Li, Fei Xie, Yuanfu Gong, Yufeng Sun

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