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Proportionated Distributions in Spatiotemporal Structure of the World Cultural Heritage Sites: Analysis and Countermeasures

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  • Ya Yao

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Xinyuan Wang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Linlin Lu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Chuansheng Liu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Qiang Wu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Hongge Ren

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shu Yang

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Ruiqi Sun

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lei Luo

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    International Centre on Space Technologies for Natural and Cultural Heritage (HIST) under the Auspices of UNESCO, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Kai Wu

    (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Asia, Europe, and Africa, connected by the maritime silk road (MSR) and the land silk road (LSR), as the cradle of ancient civilizations, contain rich cultural heritage resources. While aiming to achieve differentiated and targeted application, protection, and development of world cultural heritage (WCHS), it is essential to identify the temporal-spatial distribution features of WCHS on these three continents. For these WCHS elements, based on big earth data, we semi-quantitatively describe the features of spatial-temporal distribution, material types, civilization and religion characters, capital investment capacity, and risks by data cleaning, spatial analysis, and risk assessment. Our findings reveal features in these WCHS elements, including temporal and spatial distribution, the amount of different ancient civilizations and cultural diversity, and the need for preservation and funding capacity. Finally, this study’s results indicate that we should take full advantage of the potential of cultural heritage, digital technologies, and the scientific protection of cultural heritage along with the MSR and LSR. Moreover, declarations of heritage in Africa and Central Asia should be extended to realize the precise “poverty alleviation” of WCHS protection in these regions. For further planning of WCHS sites along the Silk Road, we propose countermeasures to protect the global cultural heritage in the future and also provide theoretical guidance and specific scientific implementation directions to “strengthen efforts to protect and safeguard the world’s cultural and natural heritage,” as proposed by the United Nations.

Suggested Citation

  • Ya Yao & Xinyuan Wang & Linlin Lu & Chuansheng Liu & Qiang Wu & Hongge Ren & Shu Yang & Ruiqi Sun & Lei Luo & Kai Wu, 2021. "Proportionated Distributions in Spatiotemporal Structure of the World Cultural Heritage Sites: Analysis and Countermeasures," Sustainability, MDPI, vol. 13(4), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2148-:d:500897
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    References listed on IDEAS

    as
    1. Xiaoping Zhuang & Yong Yao & Jun (Justin) Li, 2019. "Sociocultural Impacts of Tourism on Residents of World Cultural Heritage Sites in China," Sustainability, MDPI, vol. 11(3), pages 1-19, February.
    2. Cristian Moise & Iulia Dana Negula & Cristina Elena Mihalache & Andi Mihai Lazar & Andreea Luminita Dedulescu & Gabriel Tiberiu Rustoiu & Ioan Constantin Inel & Alexandru Badea, 2021. "Remote Sensing for Cultural Heritage Assessment and Monitoring: The Case Study of Alba Iulia," Sustainability, MDPI, vol. 13(3), pages 1-28, January.
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    Cited by:

    1. Aihui Jiang & Jun Cai & Fulong Chen & Baolei Zhang & Zhiwei Wang & Qiaoyun Xie & Sisi Yu, 2022. "Sustainability Assessment of Cultural Heritage in Shandong Province," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    2. Rui Zhang & Chang Zhang, 2022. "Classification and Application of Digital Technologies in Landscape Heritage Protection," Land, MDPI, vol. 11(10), pages 1-18, September.
    3. Can Kara & Aminreza Iranmanesh, 2022. "Modelling and Assessing Sustainable Urban Regeneration for Historic Urban Quarters via Analytical Hierarchy Process," Land, MDPI, vol. 12(1), pages 1-20, December.

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