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    Spatial-Temporal Variation of Vegetation NDVI and Its Response to Climate in Guangdong-Hong Kong-Macao Greater Bay Area from 2012 to 2021 by FU Xiang, LIU Hao

    Published 2023-01-01
    “…Exploring the normalized difference vegetation index (NDVI) variation of vegetation and its response to climate change in the Guangdong-Hong Kong-Macao Greater Bay Area is of great significance for regional ecological environment restoration and vegetation improvement.According to MODIS NDVI data and meteorological data,Sen trend analysis,coefficient of variation (CV),and correlation analysis were adopted to analyze the spatio-temporal variation characteristics of vegetation and its response to climate change in the Greater Bay Area in recent 10 years.The results show that:①The NDVI of the vegetation in the Greater Bay Area generally shows a slow upward trend,with a rising slope of 0.003 3 /a,and the effect of continuous improvement of vegetation is great;②the NDVI stability of vegetation in the Greater Bay Area is relatively strong,with an average CV of 0.054 8.The areas with low and lower fluctuation changes of vegetation account for 89.94%,while those with high and higher fluctuation changes are mainly distributed in Foshan,Zhongshan,Dongguan,Shenzhen,Zhuhai,south of Guangzhou,and other regions with rapid economic development;③the correlation between NDVI of vegetation and average temperature in the Greater Bay Area is higher than that between NDVI of vegetation and precipitation.Temperature is the dominant factor affecting vegetation growth,and precipitation is mainly negatively correlated with the NDVI of vegetation.The research results can provide a theoretical basis for the ecological environment governance and green sustainable development of the Guangdong-Hong Kong-Macao Greater Bay Area.…”
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  3. 1583

    Empirical Research on the Relationship between Industry Working Capital Shortfall and Company Cash Holding in the Same Industry by Zhaohua Li, Junyi Jiang, Lijuan Xia, Chien-Chi Chu

    Published 2022-01-01
    “…Taking the panel data of A-share listed companies in Shanghai and Shenzhen as samples, this paper uses the Classical Linear Regression Model and Fixed Effects Regression Model to study the relationship between industry working capital shortfall and cash holdings in the same industry, as well as the relationship between industry working capital shortfall and cash holding value. …”
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    Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method by Mengyan Jiang, Yi Zhang, Yi Zhang

    Published 2021-01-01
    “…Comprehensive numerical experiments are conducted based on the bus routes in Shenzhen to demonstrate the effectiveness of the suggested methodology. …”
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    Research on smart city construction in the context of public culture by Yuhang Zhang, Jiaji Gao

    Published 2025-03-01
    “…In this paper, we analyse the current development status, diverse characteristics, advantages and shortcomings of Chinese smart cities in the context of four cities, namely Beijing, Shanghai, Shenzhen and Hangzhou, and point out the lack of public culture construction in Chinese smart cities. …”
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  13. 1593

    The role of intellectual property on Enterprise-led Industry-University-Research Institution cooperation: case of innovation awards in China by Lingzhi Chen, Yanyan Ma, Yutao Sun

    Published 2024-12-01
    “…The study focuses on listed companies in Shanghai and Shenzhen from 2008 to 2020. The results show that IPDC policy offers significant assistance in boosting the deep integration of E-IUR cooperation. …”
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    Effect of Surface Hardening on Dynamic Frictional Rolling Contact Behavior and Degradation of Corrugated Rail by Yuan Gao, Jingmang Xu, Ping Wang, Yibin Liu

    Published 2019-01-01
    “…The present study was undertaken to evaluate the effect of surface hardening technology on dynamic frictional rolling contact behavior and degradation of corrugated rail in Shenzhen. Characteristic parameters such as length and depth of corrugation were analyzed by means of a continuous measurement method based on the corrugation analysis trolley. …”
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  16. 1596

    Determination of Embedded Depth of Soldier Piles in Pile-Anchor Supporting System in Granite Residual Soil Area by Yiao Liu, Changming Wang, Xiaoyang Liu, Ruiyuan Gao, Bailong Li, Kaleem Ullah Jan Khan

    Published 2021-01-01
    “…This paper has taken a deep foundation pit project in a granite residual soil area in Shenzhen as an example and used physical model tests to study the deformation law of the piles and the surrounding soil during the excavation of the deep foundation pit, revealing the variation law of earth pressure in time and space in the pit and then verified it by numerical simulation. …”
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    A Data-Driven Urban Metro Management Approach for Crowd Density Control by Hui Zhou, Zhihao Zheng, Xuekai Cen, Zhiren Huang, Pu Wang

    Published 2021-01-01
    “…The developed model is tested in an actual case of large crowding events occurred in Shenzhen, a major southern city of China. The obtained train stop-skipping schemes can effectively maintain crowd density in its safety range.…”
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