IDEAS home Printed from https://ideas.repec.org/a/hin/complx/3402516.html
   My bibliography  Save this article

Comprehensive Utilization Pattern of the Bohai Rim Coastline Using the Restrictive Composite Index Method

Author

Listed:
  • Yun Zhang
  • Tong Wu
  • Yuanzhi Ye
  • Jianhong (Cecilia) Xia

Abstract

Coastlines play an important role in human activity and economic development. Reasonably allocating shoreline resources and addressing contradictions between ecological protection and development are critical issues. In this study, positive and negative factors affecting the natural, environmental, and socioeconomic status of the coastal zone while considering land and sea effects were comprehensively analyzed using ecological theories and methods, and an improved restrictive composite index model was constructed. We quantitatively analyzed the comprehensive utilization pattern of the Bohai Rim coastline, China, in terms of the coastline utilization type and spatial agglomeration characteristics. The comprehensive utilization pattern of the Bohai Rim coastline is as follows: ecological areas are present in the north and south, and industrial areas are present in the east and west. Industrial production areas along the coastline are mainly distributed in the East Liaodong and Bohai bays, and ecological protection areas are located in the estuaries of the Liaohe and Yellow River. The improved restricted comprehensive index method model weakens the interaction among variables and makes the calculation results closer to the real situation. The results of the comprehensive utilization pattern of Bohai Rim coastline obtained by quantitative evaluation are of great significance for the coordinated development of coastline ecological protection and development and utilization.

Suggested Citation

  • Yun Zhang & Tong Wu & Yuanzhi Ye & Jianhong (Cecilia) Xia, 2021. "Comprehensive Utilization Pattern of the Bohai Rim Coastline Using the Restrictive Composite Index Method," Complexity, Hindawi, vol. 2021, pages 1-9, March.
  • Handle: RePEc:hin:complx:3402516
    DOI: 10.1155/2021/3402516
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/3402516.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/3402516.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/3402516?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:complx:3402516. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.