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Effects of Urban Vibrancy on an Urban Eco-Environment: Case Study on Wuhan City

Author

Listed:
  • Ruijing Yu

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Chen Zeng

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China
    Research Center for Territorial Spatial Governance and Green Development, Huazhong Agricultural University, Wuhan 430070, China)

  • Mingxin Chang

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Chanchan Bao

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Mingsong Tang

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Feng Xiong

    (Sino-Ocean Group Holding Limited, Wuhan 430021, China)

Abstract

In the context of rapid urbanisation and an emerging need for a healthy urban environment, revitalising urban spaces and its effects on the urban eco-environment in Chinese cities have attracted widespread attention. This study assessed urban vibrancy from the dimensions of density, accessibility, liveability, diversity, and human activity, with various indicators using an adjusted spatial TOPSIS (technique for order preference by similarity to an ideal solution) method. The study also explored the effects of urban vibrancy on the urban eco-environment by interpreting PM 2.5 and land surface temperature using “big” and “dynamic” data, such as those from mobile and social network data. Thereafter, spatial modelling was performed to investigate the influence of urban vibrancy on air pollution and temperature with inverted and extracted remote sensing data. This process identified spatial heterogeneity and spatial autocorrelation. The majority of the dimensions, such as density, accessibility, liveability, and diversity, are negatively correlated with PM 2.5, thereby indicating that the advancement of urban vibrancy in these dimensions potentially improves air quality. Conversely, improved accessibility increases the surface temperature in most of the districts, and large-scale infrastructure construction generally contributes to the increase. Diversity and human activity appear to have a cooling effect. In the future, applying spatial heterogeneity is advised to assess urban vibrancy and its effect on the urban eco-environment, to provide valuable references for spatial urban planning, improve public health and human wellbeing, and ensure sustainable urban development.

Suggested Citation

  • Ruijing Yu & Chen Zeng & Mingxin Chang & Chanchan Bao & Mingsong Tang & Feng Xiong, 2022. "Effects of Urban Vibrancy on an Urban Eco-Environment: Case Study on Wuhan City," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3200-:d:766933
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    References listed on IDEAS

    as
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    2. Shreosi Sanyal & Thierry Rochereau & Cara Nichole Maesano & Laure Com-Ruelle & Isabella Annesi-Maesano, 2018. "Long-Term Effect of Outdoor Air Pollution on Mortality and Morbidity: A 12-Year Follow-Up Study for Metropolitan France," IJERPH, MDPI, vol. 15(11), pages 1-8, November.
    3. Xiaoyao Ma & Zhenghui Xiao & Lizhi He & Zongbo Shi & Yunjiang Cao & Zhe Tian & Tuan Vu & Jisong Liu, 2019. "Chemical Composition and Source Apportionment of PM 2.5 in Urban Areas of Xiangtan, Central South China," IJERPH, MDPI, vol. 16(4), pages 1-16, February.
    4. Bo Huang & Yulun Zhou & Zhigang Li & Yimeng Song & Jixuan Cai & Wei Tu, 2020. "Evaluating and characterizing urban vibrancy using spatial big data: Shanghai as a case study," Environment and Planning B, , vol. 47(9), pages 1543-1559, November.
    5. Siyu Ma & Lin Yang & Mei-Po Kwan & Zejun Zuo & Haoyue Qian & Minghao Li, 2021. "Do Individuals’ Activity Structures Influence Their PM 2 . 5 Exposure Levels? Evidence from Human Trajectory Data in Wuhan City," IJERPH, MDPI, vol. 18(9), pages 1-27, April.
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