دانلود مقاله انگلیسی رایگان:ارزیابی پویا در معرض قرار گرفتن جمعیت در فضای سبز شهری با استفاده از داده های بزرگ چند منبع - 2018
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  • Dynamic assessments of population exposure to urban greenspace using multi-source big data Dynamic assessments of population exposure to urban greenspace using multi-source big data
    Dynamic assessments of population exposure to urban greenspace using multi-source big data

    سال انتشار:

    2018


    عنوان انگلیسی مقاله:

    Dynamic assessments of population exposure to urban greenspace using multi-source big data


    ترجمه فارسی عنوان مقاله:

    ارزیابی پویا در معرض قرار گرفتن جمعیت در فضای سبز شهری با استفاده از داده های بزرگ چند منبع


    منبع:

    Sciencedirect - Elsevier - Science of the Total Environment, 634 (2018) -: doi:10:1016/j:scitotenv:2018:04:061


    نویسنده:

    Yimeng Song a, Bo Huang a,⁎, Jixuan Cai a, Bin Chen b


    چکیده انگلیسی:

    A growing body of evidence has proven that urban greenspace is beneficial to improve peoples physical and mental health. However, knowledge of population exposure to urban greenspace across different spatiotemporal scales remains unclear. Moreover, the majority of existing environmental assessments are unable to quantify how residents enjoy their ambient greenspace during their daily life. To deal with this challenge, we proposed a dynamic method to assess urban greenspace exposure with the integration of mobile-phone locating-request (MPL) data and high-spatial-resolution remote sensing images. This method was further applied to 30 major cit ies in China by assessing cities dynamic greenspace exposure levels based on residents surrounding areas with different buffer scales (0.5 km, 1 km, and 1.5 km). Results showed that regarding residents 0.5-km surrounding environment, Wenzhou and Hangzhou were found to be with the greenest exposure experience, whereas Zheng zhou and Tangshan were the least ones. The obvious diurnal and daily variations of population exposure to their surrounding greenspace were also identified to be highly correlated with the distribution pattern of urban greenspace and the dynamics of human mobility. Compared with two common measurements of urban greenspace (green coverage rate and green area per capita), the developed method integrated the dynamics of population distribution and geographic locations of urban greenspace into the exposure assessment, thereby pre senting a more reasonable way to assess population exposure to urban greenspace. Additionally, this dynamic framework could hold potential utilities in supporting urban planning studies and environmental health studies and advancing our understanding of the magnitude of population exposure to greenspace at different spatiotem poral scales.
    Keywords: Urban greenspace ، Human mobility ، Dynamic assessment ، Geo-spatial big data ، Public health


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 11
    حجم فایل: 2928 کیلوبایت

    قیمت: رایگان


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