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Research on the Vitality Evaluation of Parks and Squares in Medium-Sized Chinese Cities from the Perspective of Urban Functional Areas

Author

Listed:
  • Tongwen Wang

    (School of Architecture and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China)

  • Ya Li

    (School of Architecture and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China)

  • Haidong Li

    (School of Architecture and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China)

  • Shuaijun Chen

    (School of Architecture and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China)

  • Hongkai Li

    (School of Architecture and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China)

  • Yunxing Zhang

    (School of Architecture and Artistic Design, Henan Polytechnic University, Jiaozuo 454000, China)

Abstract

Medium-sized cities are increasingly committed to the planning and construction of urban public spaces to meet people’s demand for high-quality urban life. Parks and squares are important parts of urban public spaces, and their vitality represents the quality of public spaces to a certain extent and reflects the happiness index of urban residents. At present, the functional areas and transportation networks of medium-sized cities are still developing. Due to the influence of urban construction, the planning of parks and squares in medium-sized cities has not yet caught up to that in larger cities. This study analyzed a medium-sized city, Jiaozuo, as an example, with the help of point of interest (POI) data, OpenStreetMap road network density data and WorldPop population data. The vitality of parks and squares in different functional spaces in the main urban area in Jiaozuo was quantitatively evaluated in terms of the four following aspects: urban space functional area characteristics, travel vitality index of urban residents, park and square attractiveness and the regional service levels of parks and squares. The effects of functional mixing, traffic network density, population density and spatial distribution on the vitality of parks and squares in medium-sized cities were also studied. The results showed that (1) the functional mixing in the main urban area in Jiaozuo was characterized by a spatial distribution of high in the center and low in the surrounding areas, with the highest functional mixing in the central part of the Jiefang District; (2) the travel dynamics of urban residents were characterized by a clear development of concentric circles radiating in a circular pattern; (3) the levels of service in parks and squares were particularly high in Jiefang District, with a spatial distribution of Jiefang District > Shanyang District > Macun District > Zhongzhan District; (4) under the condition that the service levels of each district were the same, the vitality values of the existing parks and squares in each district were compared and, from high to low, were Jiefang District (1.0–3.5), Shanyang District (0.2–2.0), Macun District (0–1.4) and Zhongzhan District (0–1.2). Functional mixing, road networks and population density had significant impacts on the vitality of parks and squares. Based on our study on the division of urban functional areas, we expanded the study to include urban microspaces. By evaluating the vitality of existing parks and squares and analyzing the influencing factors of spatial vitality, we found that it would be helpful to adopt targeted strategies to improve spatial vitality. Considering the spatial layouts of parks and squares, planning and constructing high-vitality parks and squares would be conducive to the future development of medium-sized cities. The existence of high-vitality spaces could also help to realize the sustainable development of cities.

Suggested Citation

  • Tongwen Wang & Ya Li & Haidong Li & Shuaijun Chen & Hongkai Li & Yunxing Zhang, 2022. "Research on the Vitality Evaluation of Parks and Squares in Medium-Sized Chinese Cities from the Perspective of Urban Functional Areas," IJERPH, MDPI, vol. 19(22), pages 1-23, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15238-:d:976743
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    1. Mei Liu & Ying Jiang & Junliang He, 2021. "Quantitative Evaluation on Street Vitality: A Case Study of Zhoujiadu Community in Shanghai," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    2. Jieyuan Zhu & Huiting Lu & Tianchen Zheng & Yuejing Rong & Chenxing Wang & Wen Zhang & Yan Yan & Lina Tang, 2020. "Vitality of Urban Parks and Its Influencing Factors from the Perspective of Recreational Service Supply, Demand, and Spatial Links," IJERPH, MDPI, vol. 17(5), pages 1-17, March.
    3. Sijia Li & Chao Wu & Yu Lin & Zhengyang Li & Qingyun Du, 2020. "Urban Morphology Promotes Urban Vibrancy from the Spatiotemporal and Synergetic Perspectives: A Case Study Using Multisource Data in Shenzhen, China," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    4. Shaojun Liu & Ling Zhang & Yi Long, 2019. "Urban Vitality Area Identification and Pattern Analysis from the Perspective of Time and Space Fusion," Sustainability, MDPI, vol. 11(15), pages 1-27, July.
    5. Wanshu Wu & Ziying Ma & Jinhan Guo & Xinyi Niu & Kai Zhao, 2022. "Evaluating the Effects of Built Environment on Street Vitality at the City Level: An Empirical Research Based on Spatial Panel Durbin Model," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    6. Yunfeng Hu & Yueqi Han, 2019. "Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    7. Wanshu Wu & Xinyi Niu & Meng Li, 2021. "Influence of Built Environment on Street Vitality: A Case Study of West Nanjing Road in Shanghai Based on Mobile Location Data," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    8. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    9. Chunqin Zhang & Daoyou Wang & Anning Ni & Xunyou Ni & Guangnian Xiao, 2019. "Different Effects of Contractual Form on Public Transport Satisfaction: Evidence from Large- and Medium-Sized Cities in China," Sustainability, MDPI, vol. 11(19), pages 1-21, October.
    10. Vajjhala, Shalini P. & Mische John, Anna & Evans, David A., 2008. "Determining the Extent of Market and Extent of Resource for Stated Preference Survey Design Using Mapping Methods," RFF Working Paper Series dp-08-14, Resources for the Future.
    11. Martin Dallimer & Zoe G. Davies & Katherine N. Irvine & Lorraine Maltby & Philip H. Warren & Kevin J. Gaston & Paul R. Armsworth, 2014. "What Personal and Environmental Factors Determine Frequency of Urban Greenspace Use?," IJERPH, MDPI, vol. 11(8), pages 1-16, August.
    12. Zhang, Chunqin & Juan, Zhicai & Lu, Weite & Xiao, Guangnian, 2016. "Do the organizational forms affect passenger satisfaction? Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 129-148.
    13. Bolund, Per & Hunhammar, Sven, 1999. "Ecosystem services in urban areas," Ecological Economics, Elsevier, vol. 29(2), pages 293-301, May.
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    7. Guancen Wu & Dongqin Yang & Xing Niu & Zixuan Mi, 2024. "The Impact of Park Green Space Areas on Urban Vitality: A Case Study of 35 Large and Medium-Sized Cities in China," Land, MDPI, vol. 13(10), pages 1-17, September.
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