IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i8p3397-d1378261.html
   My bibliography  Save this article

A Study of the Spatial–Temporal Development Patterns and Influencing Factors of China’s National Archaeological Site Parks

Author

Listed:
  • Yueting Xi

    (School of Economics and Management, Chang’an University, Middle Section, Nan’er Huan Road, Xi’an 710064, China)

  • Taili Liu

    (School of Economics and Management, Chang’an University, Middle Section, Nan’er Huan Road, Xi’an 710064, China)

  • Siliang Chen

    (School of Architecture, Chang’an University, No. 161, Chang’an Road, Xi’an 710061, China)

  • Xinru Zhang

    (School of Economics and Management, Chang’an University, Middle Section, Nan’er Huan Road, Xi’an 710064, China)

  • Suyi Qu

    (School of Economics and Management, Chang’an University, Middle Section, Nan’er Huan Road, Xi’an 710064, China)

  • Yue Dong

    (School of Architecture, Chang’an University, No. 161, Chang’an Road, Xi’an 710061, China)

Abstract

National Archaeological Site Parks are strategic projects in China for innovatively exploring the scientific protection and rational utilization of large heritage sites for the purpose of balancing urban development and protecting cultural heritage. Therefore, research on the spatial–temporal evolution and influencing factors of National Archaeological Site Parks can improve and optimize their management and pattern systems and is therefore of great significance for the sustainable development of large sites and their surrounding areas. Targeting the 135 National Archaeological Site Parks of China, this paper adopts the nearest-neighbor index analytical method, the kernel density estimation method, the standard deviation ellipse method, the method of constructing an indicator system, and an SPSS factor analysis method to analyze the spatial–temporal evolution and influencing factors of these parks. The findings are as follows: (1) In terms of the temporal evolution, the number of National Archaeological Site Parks increased from 2010 to 2022, and the ages and types of the large heritage sites they are built upon gradually became more balanced and diverse. (2) In terms of the spatial evolution, National Archaeological Site Parks form two high-density areas in Central China and East China. Their overall distribution is consistent with China’s “Hu Line”. (3) In terms of spatial–temporal evolution, the center of gravity of National Archaeological Site Parks’ distribution is advancing toward Southwest China, and the trend of a more balanced distribution is rising. (4) Finally, regional development, heritage tourism, historical resources, and government support were observed to be factors that affect the spatial–temporal patterns of the National Archaeological Site Parks. Based on these findings, we propose specific strategies for coordinating and linking the above four major influencing factors to promote the rational utilization of large heritage sites and the sustainable development of National Archaeological Site Parks. We aim to improve and optimize the management and pattern systems of National Archaeological Site Parks, to promote urban renewal based on large heritage sites, and to provide valuable insights for policy makers and heritage practitioners in other countries with historical resources around the world.

Suggested Citation

  • Yueting Xi & Taili Liu & Siliang Chen & Xinru Zhang & Suyi Qu & Yue Dong, 2024. "A Study of the Spatial–Temporal Development Patterns and Influencing Factors of China’s National Archaeological Site Parks," Sustainability, MDPI, vol. 16(8), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3397-:d:1378261
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/8/3397/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/8/3397/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaogang Feng & Moqing Hu & Sekhar Somenahalli & Xinyuan Bian & Meng Li & Zaihui Zhou & Fengxia Li & Yuan Wang, 2023. "A Study of Spatio-Temporal Differentiation Characteristics and Driving Factors of Shaanxi Province’s Traditional Heritage Villages," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    2. Ruiying Kuang & Yingying Zuo & Shen Gao & Penghua Yin & Yiting Wang & Zixi Zhang & Shiman Cai & Na Li, 2023. "Research on the Spatial Distribution Characteristics and Influencing Factors of Central China’s Intangible Cultural Heritage," Sustainability, MDPI, vol. 15(7), pages 1-14, March.
    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. Wenjie Hu & Jinhe Zhang & Leying Zhou & Yi Sun, 2023. "The Spatiotemporal Patterns and Driving Factors of Culture and Tourism Listed Companies in China," Sustainability, MDPI, vol. 15(9), pages 1-18, May.
    2. Le Feng & Lei Fan & Na Wang & Le Li & Ruohan Zhang & Ge Deng, 2024. "A Comparative Study on the Spatial Structure Characteristics of National-Level Traditional Villages in Liaoning, China," Sustainability, MDPI, vol. 16(17), pages 1-19, September.
    3. Yunxiang Ge & Cheng Lu & Han Gao, 2023. "Constructing an Indicator System for Cultural Sustainability in Chinese Cities under the Objective of Urban Renewal and Capability Measurement," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    4. Zhiqiang Cai & Keke Cai & Tao Huang & Ge Zhang & Ruixi Chen, 2024. "Spatial Distribution Characteristics and Sustainable Inheritance Strategies of National Traditional Fine Arts Intangible Cultural Heritage in China," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    5. Mengchen Lian & Yanjun Li, 2024. "The Spatial Patterns and Architectural Form Characteristics of Chinese Traditional Villages: A Case Study of Guanzhong, Shaanxi Province," Sustainability, MDPI, vol. 16(21), pages 1-28, October.
    6. Keyu Hu & Weipin Lin & Liwen Fan & Sisheng Yang & Tiancong Zhang, 2024. "Spatial Differentiation and Influencing Factors of Traditional Villages in Fujian, China: A Watershed Perspective," Sustainability, MDPI, vol. 16(11), pages 1-20, June.
    7. Yinhe Chen & Rui Li, 2024. "Spatial Distribution and Type Division of Traditional Villages in Zhejiang Province," Sustainability, MDPI, vol. 16(12), pages 1-25, June.

    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:jsusta:v:16:y:2024:i:8:p:3397-:d:1378261. 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.