Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Prediction of Population Development Trend in Huizhou Based on Grey Discrete Incremental Model

Authors
Jing Wang1, Shuhong Peng2, *
1School of Arts and Design, Huizhou University, Huizhou, 516007, China
2School of Computer Science and Engineering, Huizhou University, Huizhou, 516007, China
*Corresponding author. Email: pengsh@hzu.edu.cn
Corresponding Author
Shuhong Peng
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_145How to use a DOI?
Keywords
Grey incremental model; population quantity; population prediction
Abstract

The population issue is related to regional economic development, and population changes will affect the formulation of the regional basic policies, the arrangement of labor and employment. Huizhou is located in the Pearl River Delta Economic Belt of Guangdong Province in China, with a high population density. In recent years, the population has gradually increased. Based on the grey incremental model GM (1,1) method, this paper uses the population data from 2000 to 2022 to construct a population prediction model for Huizhou and predict the population in the next 15 years. The prediction results show that the urban population of Huizhou will still increase year by year from 2023 to 2037, which will have an impact on the sustainable development of the city. Finally, the countermeasures for population development in Huizhou are proposed for regional development.

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 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
978-94-6463-200-2
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_145How 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  - Jing Wang
AU  - Shuhong Peng
PY  - 2023
DA  - 2023/07/26
TI  - Prediction of Population Development Trend in Huizhou Based on Grey Discrete Incremental Model
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1351
EP  - 1358
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_145
DO  - 10.2991/978-94-6463-200-2_145
ID  - Wang2023
ER  -