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Using Internet Search Queries to Assess Public Awareness of the Healthy Cities Approach: A Case Study in Shenzhen, China

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  • Jun Yang

    (Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shen-zhen 518034, China
    Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
    Tsinghua Urban Institute, Beijing 100084, China)

  • Yutong Zhang

    (Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China)

  • Yixiong Xiao

    (Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
    Tsinghua Urban Institute, Beijing 100084, China)

  • Shaoqing Shen

    (Shenzhen Research Center of Digital City Engineering, Shenzhen Municipal Bureau of Planning and Natural Resource Management, Shenzhen 518034, China)

  • Mo Su

    (School of Resource and Environment Science, Wuhan University, Wuhan 430079, China)

  • Yuqi Bai

    (Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
    Tsinghua Urban Institute, Beijing 100084, China)

  • Jingbo Zhou

    (Business Intelligence Lab, Baidu Research, Baidu Inc., Beijing 100193, China)

  • Peng Gong

    (Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
    Tsinghua Urban Institute, Beijing 100084, China
    Department of Earth Sciences and Department of Geography, the University of Hong Kong, Hong Kong)

Abstract

Cities around the globe are embracing the Healthy Cities approach to address urban health challenges. Public awareness is vital for successfully deploying this approach but is rarely assessed. In this study, we used internet search queries to evaluate the public awareness of the Healthy Cities approach applied in Shenzhen, China. The overall situation at the city level and the intercity variations were both analyzed. Additionally, we explored the factors that might affect the internet search queries of the Healthy Cities approach. Our results showed that the public awareness of the approach in Shenzhen was low. There was a high intercity heterogeneity in terms of interest in the various components of the Healthy Cities approach. However, we did not find a significant effect of the selected demographic, environmental, and health factors on the search queries. Based on our findings, we recommend that the city raise public awareness of healthy cities and take actions tailored to health concerns in different city zones. Our study showed that internet search queries can be a valuable data source for assessing the public awareness of the Healthy Cities approach.

Suggested Citation

  • Jun Yang & Yutong Zhang & Yixiong Xiao & Shaoqing Shen & Mo Su & Yuqi Bai & Jingbo Zhou & Peng Gong, 2021. "Using Internet Search Queries to Assess Public Awareness of the Healthy Cities Approach: A Case Study in Shenzhen, China," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4264-:d:538028
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    References listed on IDEAS

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    1. Jun Yang & Xiangyu Luo & Yixiong Xiao & Shaoqing Shen & Mo Su & Yuqi Bai & Peng Gong, 2020. "Comparing the Use of Spatially Explicit Indicators and Conventional Indicators in the Evaluation of Healthy Cities: A Case Study in Shenzhen, China," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
    2. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    3. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
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