IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i6p3200-d766933.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/6/3200/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/6/3200/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Cuixia Yan & Lucang Wang & Qing Zhang, 2021. "Study on Coupled Relationship between Urban Air Quality and Land Use in Lanzhou, China," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    2. Halkos, George E & Aslanidis, Panagiotis-Stavros & Landis, Conrad & Papadaki, Lydia & Koundouri, Phoebe, 2024. "A review on primary and cascading hazards by exploring individuals’ willingness-to-pay for urban sustainability policies," MPRA Paper 122262, University Library of Munich, Germany.
    3. Jinyao Lin & Yaye Zhuang & Yang Zhao & Hua Li & Xiaoyu He & Siyan Lu, 2022. "Measuring the Non-Linear Relationship between Three-Dimensional Built Environment and Urban Vitality Based on a Random Forest Model," IJERPH, MDPI, vol. 20(1), pages 1-18, December.
    4. Yunfei Zhao & Zhibo Han & Yuanquan Xu, 2022. "Impact of Land Use/Cover Change on Ecosystem Service Value in Guangxi," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    5. Shaojun Liu & Yao Long & Ling Zhang & Hao Liu, 2021. "Quantifying and Characterizing Urban Leisure Activities by Merging Multiple Sensing Big Data: A Case Study of Nanjing, China," Land, MDPI, vol. 10(11), pages 1-20, November.
    6. Aibo Jin & Yunyu Ge & Shiyang Zhang, 2024. "Spatial Characteristics of Multidimensional Urban Vitality and Its Impact Mechanisms by the Built Environment," Land, MDPI, vol. 13(7), pages 1-22, July.
    7. Alcindo Neckel & M. Santosh & Brian William Bodah & Laércio Stolfo Maculan & Diana Pinto & Cleiton Korcelski & Paloma Carollo Toscan & Laura Pasa Cambrussi & Isadora Cezar Caino & Leila Dal Moro & Dir, 2022. "Using the Sentinel-3B Satellite in Geospatial Analysis of Suspended Aerosols in the Kiev, Ukraine Region," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    8. Rong Guo & Ying Qi & Bu Zhao & Ziyu Pei & Fei Wen & Shun Wu & Qiang Zhang, 2022. "High-Resolution Urban Air Quality Mapping for Multiple Pollutants Based on Dense Monitoring Data and Machine Learning," IJERPH, MDPI, vol. 19(13), pages 1-15, June.
    9. Jinghu Pan & Xiuwei Zhu & Xin Zhang, 2022. "Urban Vitality Measurement and Influence Mechanism Detection in China," IJERPH, MDPI, vol. 20(1), pages 1-24, December.
    10. Chenyang Wu & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyu Duan & Jiawei Qi & Zhongshuai Cheng & Zengkai Pan, 2022. "Comprehensive Evaluation of the Eco-Geological Environment in the Concentrated Mining Area of Mineral Resources," Sustainability, MDPI, vol. 14(11), pages 1-19, June.
    11. Van Niekerk, Janet & Krainski, Elias & Rustand, Denis & Rue, Håvard, 2023. "A new avenue for Bayesian inference with INLA," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
    12. Xiaoli Sun & Ziyi Liu, 2024. "Public Green Space Injustice in High-Density Post-Colonial Areas: A Case Study of the Macau Peninsula, China," Sustainability, MDPI, vol. 16(9), pages 1-20, April.
    13. Chengzhe Lyu, 2024. "Exploring the Influence of Dynamic Indicators in Urban Spaces on Residents’ Environmental Behavior: A Case Study in Shanghai Utilizing Mixed-Methods Approach and Artificial Neural Network (ANN) Modeli," Sustainability, MDPI, vol. 16(8), pages 1-27, April.
    14. Daitao Zhang & Yaohua Tian & Yi Zhang & Yaying Cao & Quanyi Wang & Yonghua Hu, 2019. "Fine Particulate Air Pollution and Hospital Utilization for Upper Respiratory Tract Infections in Beijing, China," IJERPH, MDPI, vol. 16(4), pages 1-9, February.
    15. Kairat Saginov & Zharas Berdenov & Zhansulu Inkarova & Yersin Kakimzhanov & Erbolat Mendybayev & Nurgul Ramazanova & Kalibek Assylbekov & Ruslan Safarov & Ivan Fomin, 2024. "Comparative Analysis of the Infrastructure of the City of Astana with a Sociological Survey of the Mental Well-Being of Citizens in the Context of the Sustainable Development of the Urban Agglomeratio," Sustainability, MDPI, vol. 16(19), pages 1-22, October.
    16. Jingyi Xia & Jiali Wang & Yuan Lai, 2024. "Development Strategy Based on Combination Typologies of Building Carbon Emissions and Urban Vibrancy—A Multi-Sourced Data-Driven Approach in Beijing, China," Land, MDPI, vol. 13(7), pages 1-19, July.
    17. Ling Li & Wayne Xinwei Wan & Shenjing He, 2021. "The Heightened ‘Security Zone’ Function of Gated Communities during the COVID-19 Pandemic and the Changing Housing Market Dynamic: Evidence from Beijing, China," Land, MDPI, vol. 10(9), pages 1-21, September.
    18. Marcelle Virginia Canto & Mònica Guxens & Rebeca Ramis, 2022. "Exposure to Traffic Density during Pregnancy and Birth Weight in a National Cohort, 2000–2017," IJERPH, MDPI, vol. 19(14), pages 1-14, July.
    19. Hongyu Gong & Xiaozihan Wang & Zihao Wang & Ziyi Liu & Qiushan Li & Yunhan Zhang, 2022. "How Did the Built Environment Affect Urban Vibrancy? A Big Data Approach to Post-Disaster Revitalization Assessment," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    20. Sun, Yanan & You, Xiaotong, 2023. "Do digital inclusive finance, innovation, and entrepreneurship activities stimulate vitality of the urban economy? Empirical evidence from the Yangtze River Delta, China," Technology in Society, Elsevier, vol. 72(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3200-:d:766933. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.