Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Evaluation and Prediction of Urban Shrinkage in Liaoning Province Based on Grey Theory

Authors
Benzhe Ding1, Dongyang Xi2, *, Tingting Yan3, Qimeng Zhao4, Xiangxin Wu5
1School of Transportation and Geomatics Engineering, Shenyang Jianzhu University, Shenyang, 110168, China
2School of Materials Science and Engineering, Shenyang Jianzhu University, Shenyang, 110168, China
3School of Science, Shenyang Jianzhu University, Shenyang, 110168, China
4School of Management, Shenyang Jianzhu University, Shenyang, 110168, China
5School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang, 110168, China
*Corresponding author. Email: xidy12@sjzu.edu.cn
Corresponding Author
Dongyang Xi
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_61How to use a DOI?
Keywords
Shrinking city; EWM-AHP; Combinatorial weighting; Grey correlation analysis
Abstract

In order to ensure the sustainable and stable development of cities in Liaoning Province, aiming at the problem of urban shrinkage in Liaoning Province, this paper uses entropy weight method (EWM) and analytic hierarchy process (AHP) to preliminarily determine and moderately correct the weight of each index. The final weight of each index is completed by game theory, and the urban shrinkage evaluation model is established by multi-index comprehensive evaluation method to calculate the comprehensive shrinkage coefficient of Liaoning province. Then, in order to seek to shrink the relationship between urban economy, society and population, a grey correlation model is established. On this basis, the grey Markov prediction model is established to analyze the development and evolution trend of shrinking cities, and put forward reasonable scientific suggestions for urban development in Liaoning Province.

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 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_61
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_61How 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

risenwbib
TY  - CONF
AU  - Benzhe Ding
AU  - Dongyang Xi
AU  - Tingting Yan
AU  - Qimeng Zhao
AU  - Xiangxin Wu
PY  - 2023
DA  - 2023/08/10
TI  - Evaluation and Prediction of Urban Shrinkage in Liaoning Province Based on Grey Theory
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 597
EP  - 607
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_61
DO  - 10.2991/978-94-6463-198-2_61
ID  - Ding2023
ER  -