Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

Evaluation of rural landscape of Yanbian Korean Ethnic Group based on AHP method

Authors
Shu Yang1, Yan Zhou1, 2, Lei Fan1, 2, *
1College of Agriculture, Yanbian University, Yanji, Jilin, 133002, China
2College of Forestry, Shenyang Agricultural University, Shenyang, Liaoning, 110866, China
*Corresponding author. Email: fanlei@ybu.edu.cn
Corresponding Author
Lei Fan
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_12How to use a DOI?
Keywords
rural landscape; AHP; landscape evaluation; the Korean Ethnic Group
Abstract

In the context of the country's vigorous development of ecological civilization, people began to pay more and more attention to the protection and construction of rural landscapes. Rural culture contains the local spirit and beliefs, which is an important part of Chinese traditional culture. Only when the unique rural culture is rooted in the rural landscape design we can create a colorful rural landscape. Yanbian Korean Autonomous Prefecture is the largest settlement of Korean-Chinese in China. But its rural landscape has not yet been studied through a systematic comprehensive evaluation system. The study takes the rural landscape of Yanbian Korean Autonomous Prefecture in Jilin Province as the research object, and uses the Analytic Hierarchy Process (AHP) to establish a comprehensive value of rural landscape evaluation system. The judgment matrix is constructed by 4 criterion layer factors and 28 index layer factors, and the weight of each index is calculated to evaluate and analyze. The results show that: in the criterion layer, ecological environmental value (B2) has the highest weight value, followed by scientific and cultural value (B3) and aesthetic appreciation value (B1), and socio-economic value (B4) has the lowest weight value. The weight values of which are 0.4379, 0.2437, 0.2190 and 0.0994 in order. In the indicator layer, the integrity of landscape elements (C11) of the ecological environment value (B2) of the criterion layer have the highest weight, which is 0.1675; the ecosystem stability (C6) belonging to the same criterion layer is the second, which is 0.1097. By analyzing the differences in the value of various types of rural landscape elements, the symbolic types of landscape elements are explored. The results of study provide guidance for the future development of the rural landscape by establishing an evaluation model of the rural landscape of the Korean ethnic group in Yanbian.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_12
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_12How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Shu Yang
AU  - Yan Zhou
AU  - Lei Fan
PY  - 2022
DA  - 2022/12/29
TI  - Evaluation of rural landscape of Yanbian Korean Ethnic Group based on AHP method
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 86
EP  - 96
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_12
DO  - 10.2991/978-94-6463-102-9_12
ID  - Yang2022
ER  -