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Spatiotemporal Patterns of the Use of Green Space by White-Collar Workers in Chinese Cities: A Study in Shenzhen

Land (Basel), 2021-10, Vol.10 (10), p.1006 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-445X ;EISSN: 2073-445X ;DOI: 10.3390/land10101006

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  • Title:
    Spatiotemporal Patterns of the Use of Green Space by White-Collar Workers in Chinese Cities: A Study in Shenzhen
  • Author: Xie, Xiaohuan ; Zhou, Hanzhi ; Gou, Zhonghua ; Yi, Ming
  • Subjects: Central business districts ; Cities ; Cluster analysis ; Commuting ; COVID-19 ; Economic reform ; Employees ; Employment ; Environmental justice ; Global positioning systems ; GPS ; green exposure ; green space ; Health care ; Housing prices ; Lifestyles ; Low income groups ; Mental health ; Optimization ; Physical exercise ; social equity ; Space allocation ; spatiotemporal patterns ; Urban areas ; Urban planning ; White collar workers ; Workers ; Working hours
  • Is Part Of: Land (Basel), 2021-10, Vol.10 (10), p.1006
  • Description: White-collar workers, with tremendous work pressure, excessive working hours, and poor physical condition, need green spaces not only to have physical exercise and social gatherings, but also to become closer to nature and to relieve stress for their mental health. In China, the 996 office schedule, working from 09:00 to 17:00 six days a week, has become popular in the workplace; under such high-intensity work and pressure, white-collar workers have limited time to access green space for leisure, and their use of green space for health benefits is compromised. This study selected Shenzhen Futian Central Business District to find out the green space use patterns and preferences of white-collar workers based on GPS data and questionnaire surveys. In addition, the value of green exposure in the time dimension was calculated according to individuals’ actual behaviors. Based on cluster analysis, this study summarized the typical green space use patterns of three groups of white-collar workers, which reflects the hidden inequity of white-collar groups who are subjected to varying degrees of spatiotemporal constraints in using green space. This paper puts forward three directions for the optimization of green space allocation, functional facilities, and improved walkability in employment-intensive urban areas. The results provide certain guiding significance for alleviating the mismatch of time and space in green space enjoyment and for improving the spatiotemporal inclusiveness of green spaces in urban central business districts.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 2073-445X
    EISSN: 2073-445X
    DOI: 10.3390/land10101006
  • Source: Coronavirus Research Database
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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