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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
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Sensors and Materials, Volume 34, Number 12(1) (2022)
Copyright(C) MYU K.K.
pp. 4369-4380
S&M3116 Research Paper of Special Issue
https://doi.org/10.18494/SAM4127
Published in advance: November 24, 2022
Published: December 7, 2022

Big Data Analysis of Park and Green Space Serviceability for Elderly Population—Case Study of Core Area of Beijing [PDF]

Lingmei Zhao, Xiaoxv Tang, Xiaojuan Xing, and Cai Cai

(Received September 21, 2022; Accepted November 9, 2022)

Keywords: big data, intensity of population mobility, population portrait, accessibility

Green spaces and parks play an important role in the urban ecosystem and are vital in improving the urban ecology, beautifying the environment, and maintaining the physical and mental health of urban residents. Beijing has been facing various challenges, such as the rapid growth of the elderly population. Parks and green spaces, which play an important role in citizens’ daily lives, provide a place for senior residents to exercise, make friends, and communicate with others. As the threat of the pandemic is still present, too many visitors to parks and green spaces will hamper pandemic prevention efforts. In this study, data sources, including Baidu Map Huiyan and four-dimensional traffic data from Navinfo; surveying and mapping of geoinformatics spatial and statistical data; big data analysis; GIS spatial analysis and network analysis; and a normalization algorithm were used to assess the comprehensive capacity of parks and green spaces in the core area of Beijing to serve the elderly population in terms of demographic characteristics, accessibility, and the intensity of population mobility.

Corresponding author: Lingmei Zhao


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Lingmei Zhao, Xiaoxv Tang, Xiaojuan Xing, and Cai Cai, Big Data Analysis of Park and Green Space Serviceability for Elderly Population—Case Study of Core Area of Beijing, Sens. Mater., Vol. 34, No. 12, 2022, p. 4369-4380.



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