Showing 1 - 10 results of 10 for search '"Urban area"', query time: 0.08s Refine Results
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    Measuring spatial accessibility and supply-demand deviation of urban green space: A mobile phone signaling data perspective by Jingyuan Chen, Cheng Wang, Yunbin Zhang, Dan Li

    Published 2022-10-01
    “…This study examines the central urban area of Hefei as an example. We developed a modified Gaussian two-step floating catchment area method and used the path planning model of Gaode Map to evaluate the accessibility of UGS under different transportation modes and different time thresholds while integrating mobile phone signaling data. …”
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  3. 3

    Effects of Urban Forest Types and Traits on Soil Organic Carbon Stock in Beijing by Xinhui Xu, Zhenkai Sun, Zezhou Hao, Qi Bian, Kaiyue Wei, Cheng Wang

    Published 2021-03-01
    “…Data from 168 urban forest plots of coniferous or broadleaved forests located in the Beijing urban area were used to predict the effects of forest types and traits on SOC in three different soil layers, 0–10 cm, 10–20 cm, and 20–30 cm. …”
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  4. 4

    Differences in Response of Butterfly Diversity and Species Composition in Urban Parks to Land Cover and Local Habitat Variables by Dan Han, Chang Zhang, Cheng Wang, Junying She, Zhenkai Sun, Dexian Zhao, Qi Bian, Wenjing Han, Luqin Yin, Ruilin Sun, Xinyu Wang, He Cheng

    Published 2021-01-01
    “…The parks differed in age and location in the urban area. Meanwhile, we investigated the green space in the surroundings of the parks at multi-spatial scales at the landscape level. …”
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  5. 5

    Investigating Surface Deformation and Its Intrinsic Mechanism in Shenzhen, China Using Sentinel‐1A SAR Imagery by Lv Zhou, Suoge Liu, Jiahao Li, Yuanjin Pan, Cheng Wang, Liangke Huang, Ling Huang

    Published 2023-06-01
    “…Abstract To avoid disasters caused by surface deformation in urban areas, monitoring and analyzing the mechanism of surface deformation in urban areas on a large scale and in long‐term series is mandatory. …”
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    Ground subsidence risk assessment method using PS-InSAR and LightGBM: a case study of Shanghai metro network by Long Chai, Xiongyao Xie, Cheng Wang, Genji Tang, Zhe Song

    Published 2024-12-01
    “…ABSTRACTGround subsidence is a common geological hazard in urban areas that endangers the safety of infrastructure, such as subways. …”
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    Development of a Lightweight Single-Band Bathymetric LiDAR by Guoqing Zhou, Xiang Zhou, Weihao Li, Dawei Zhao, Bo Song, Chao Xu, Haotian Zhang, Zhexian Liu, Jiasheng Xu, Gangchao Lin, Ronghua Deng, Haocheng Hu, Yizhi Tan, Jinchun Lin, Jiazhi Yang, Xueqin Nong, Chenyang Li, Yiqiang Zhao, Cheng Wang, Lieping Zhang, Liping Zou

    Published 2022-11-01
    “…Traditional bathymetry LiDAR (light detection and ranging) onboard manned and/or unmanned airborne systems cannot operate in the context of narrow rivers in urban areas with high buildings and in mountainous areas with high peaks. …”
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    Advancing safe mobility: A global analysis of research trends in safe route planning by Auwal Sagir Muhammad, Longbiao Chen, Cheng Wang

    Published 2023-12-01
    “…Safe route planning has become an increasingly important area of research in recent years due to growing concerns about pedestrian and traffic safety, rising traffic volumes and densities in urban areas, and advancements in smart vehicle and transportation technologies. …”
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    Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis by Yilin Zhao, Jingli Yan, Jiali Jin, Zhenkai Sun, Luqin Yin, Zitong Bai, Cheng Wang

    Published 2022-02-01
    “…Most existing automated analysis methods have limitations in their application in urban areas, with unclear ecological relevance and efficacy. …”
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    Impact of Forest Parkification on Color Authenticity by Wenjing Han, Chang Zhang, Cheng Wang, Songsong Liu, Decai Shen, Haiqi Zhou, Dan Han

    Published 2023-09-01
    “…Anthropogenic disturbance factors included park feature indicators (area, elevation, and perimeter-area ratio) and human activity indicators (distance to urban areas, building density, and road density). We calculated <i>p</i>-values and relative effect estimates to determine the sensitivity and degree of sensitivity of color to each factor. …”
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