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The Impact of Street Space Perception Factors on Elderly Health in High-Density Cities in Macau—Analysis Based on Street View Images and Deep Learning Technology

Author

Listed:
  • Lingchao Meng

    (School of Fine Arts, Northwest Minzu University, No 1 Northwest New Village, Chengguan Area, Lanzhou 730030, China
    Faculty of Humanities and Arts, Macau University of Science and Technology, Avenida Wai Long, Taipa 999078, Macau, China)

  • Kuo-Hsun Wen

    (School of Arts, Macao polytechnic Institute, Rua Luis Gonzaga Gomes 999078, Macau, China)

  • Zhijie Zeng

    (Urban Planning & Design Institute of Shenzhen, Shenzhen 518000, Guangdong, China)

  • Richard Brewin

    (Beijing Normal University, Zhuhai, No 18 Jinfeng Road, Tangjiawan Area, Zhuhai 519000, Guangdong, China)

  • Xiaolei Fan

    (School of Art and Design, Zhengzhou Institute of Finance and Economics, Zhengzhou 450000, China)

  • Qiong Wu

    (Faculty of Business, City University of Macau, Avenida Padre Tomás Pereira, Taipa 999078, Macau, China)

Abstract

The urban space environment has been proven to be related to the health of the elderly. However, as a high-density city, Macau’s limited urban space must cope with the growing population and the arrival of an aging society. In the existing studies, less attention has been paid to Macau, especially the relationship between Macanese elderly and urban space. This study uses Baidu Street View (BSV) on the Macau Peninsula and conducts field surveys to obtain street view data to evaluate the openness, greenness, interface coverage, and road area ratio of street space and its association with the physical and mental health of the elderly and social health. The results show that the data truly reflect the overall street space conditions on the Macau Peninsula. The street openness, greenery rate, and interface enclosure are all related to the elderly in various evaluations in areas with a higher population dependency index and aging index. Human space perception is related to health gain, and road area ratio is weaker than other indicators. The research results have certain policy implications and have practical significance for city managers and designers.

Suggested Citation

  • Lingchao Meng & Kuo-Hsun Wen & Zhijie Zeng & Richard Brewin & Xiaolei Fan & Qiong Wu, 2020. "The Impact of Street Space Perception Factors on Elderly Health in High-Density Cities in Macau—Analysis Based on Street View Images and Deep Learning Technology," Sustainability, MDPI, vol. 12(5), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1799-:d:325968
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    References listed on IDEAS

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    Cited by:

    1. Muxia Yao & Bin Yao & Jeremy Cenci & Chenyang Liao & Jiazhen Zhang, 2023. "Visualisation of High-Density City Research Evolution, Trends, and Outlook in the 21st Century," Land, MDPI, vol. 12(2), pages 1-27, February.
    2. Bohong Zheng & Rui Guo & Komi Bernard Bedra & Yanfen Xiang, 2022. "Quantitative Evaluation of Urban Style at Street Level: A Case Study of Hengyang County, China," Land, MDPI, vol. 11(4), pages 1-28, March.
    3. Xi Ye & Ke Chen & Jinxuan Chen & I-Tong Chan, 2024. "Perceptions and Uses of Public Open Spaces During the Covid-19 Pandemic: Prevention Measures as Endangering Possibilities of Active Ageing," SAGE Open, , vol. 14(2), pages 21582440241, June.
    4. Liu, Yang & Kwan, Mei-Po & Wong, Man Sing & Yu, Changda, 2023. "Current methods for evaluating people's exposure to green space: A scoping review," Social Science & Medicine, Elsevier, vol. 338(C).
    5. Teen-Hang Meen & Charles Tijus & Jui-Che Tu, 2020. "Selected Papers from the Eurasian Conference on Educational Innovation 2020," Sustainability, MDPI, vol. 12(15), pages 1-5, July.
    6. Alireza Moghayedi & Abid Mehmood & Kathy Michell & Christiana Okobi Ekpo, 2023. "Modeling the Neighborhood Wellbeing of Townships in South Africa," Sustainability, MDPI, vol. 15(11), pages 1-21, May.

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