Urban Smart Growth Mathematical Model and Application

Geng Liu; Xiao Han; Zhen Li

doi:doi:10.11648/j.acm.20180703.12

| Peer-Reviewed

Urban Smart Growth Mathematical Model and Application

Geng Liu, Xiao Han, Zhen Li

Published in Applied and Computational Mathematics (Volume 7, Issue 3)

Received: 25 June 2018 Published: 26 June 2018

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

In view of urban sprawl brought about by urbanization development, this paper establishes a weighted comprehensive evaluation model to measure the city’s smart growth status. Bordeaux is selected as the research object, and relevant data are collected and processed. The data is then substituted into the established model to solve the problem. The results show that some indicators in the city are still at a poor level. Combining the indicators with higher weights and lower scores in the evaluation results, a better urban smart growth plan was proposed. Finally, the ARIMA forecasting model is used to predict the indicators in the future more than ten years. The results verify the effectiveness of the urban smart growth plan and the potential of the plans.

Published in	Applied and Computational Mathematics (Volume 7, Issue 3)
DOI	10.11648/j.acm.20180703.12
Page(s)	83-88
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Urban Smart Growth, Weighted Comprehensive Evaluation, ARIMA Forecast

References

[1]	Cheng Maoji. Research on Nanjing City Growth Evaluation and Optimization Based on Smart Growth [D]. Nanjing Normal University, 2012.
[2]	Ruan Zhanfu. Research on Urban Spatial Expansion Based on Smart Growth [D]. Northwest Normal University, 2009.
[3]	Guan Jing. A Review of Research on Smart Growth [J]. Research on Financial and Economic Issues, 2013 (02): 26-31.
[4]	Ruan Zhanfu. Research on Urban Spatial Expansion Based on Smart Growth [D]. Northwest Normal University, 2009.
[5]	Zhou Rong, Wang Qian, Wang Yanhui. Mathematical model of "smart growth" in cities [J]. Mathematic Modeling and Applications, 2017, 6 (02): 16-24.
[6]	Li Qin. Evaluation of Urban Smart Growth Based on Principal Component Analysis [J]. Urban Construction Theory Research, 2016 (23): 11.
[7]	Liu Yan, Zhu Jiaming. Evaluation and Grey Prediction of Urban Smart Growth Based on Fuzzy Comprehensive Method [J]. Journal of Chifeng College (Natural Science Edition), 2017, 33 (15): 29-32.
[8]	Wang Bangli, Huang Wenquan, Li Kaishi. Research on Product Material Selection Based on Analytic Hierarchy Process and Weighted Evaluation Method [J]. Journal of Sichuan University of Science & Engineering (Natural Science Edition), 2013, 26 (05): 71-73.
[9]	Sun Huichao, Cheng Gang, Li Yuli, Huang Ningning. Study on Comprehensive Evaluation System of Urbanization Development Level [J]. Journal of Henan University of Urban Construction, 2016, 25 (05): 53-60+87.
[10]	Li Hailin. Research on feature representation and similarity measurement methods in time series data mining [D]. Dalian University of Technology, 2012.
[11]	Yuan Jidong, Wang Zhihai. A Summary of Time Series Representation and Classification Algorithms [J]. Computer Science, 2015, 42 (03): 1-7.

Cite This Article

Plain Text BibTeX RIS

APA Style

Geng Liu, Xiao Han, Zhen Li. (2018). Urban Smart Growth Mathematical Model and Application. Applied and Computational Mathematics, 7(3), 83-88. https://doi.org/10.11648/j.acm.20180703.12

Copy | Download

ACS Style

Geng Liu; Xiao Han; Zhen Li. Urban Smart Growth Mathematical Model and Application. Appl. Comput. Math. 2018, 7(3), 83-88. doi: 10.11648/j.acm.20180703.12

Copy | Download

AMA Style

Geng Liu, Xiao Han, Zhen Li. Urban Smart Growth Mathematical Model and Application. Appl Comput Math. 2018;7(3):83-88. doi: 10.11648/j.acm.20180703.12

Copy | Download

@article{10.11648/j.acm.20180703.12,
  author = {Geng Liu and Xiao Han and Zhen Li},
  title = {Urban Smart Growth Mathematical Model and Application},
  journal = {Applied and Computational Mathematics},
  volume = {7},
  number = {3},
  pages = {83-88},
  doi = {10.11648/j.acm.20180703.12},
  url = {https://doi.org/10.11648/j.acm.20180703.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20180703.12},
  abstract = {In view of urban sprawl brought about by urbanization development, this paper establishes a weighted comprehensive evaluation model to measure the city’s smart growth status. Bordeaux is selected as the research object, and relevant data are collected and processed. The data is then substituted into the established model to solve the problem. The results show that some indicators in the city are still at a poor level. Combining the indicators with higher weights and lower scores in the evaluation results, a better urban smart growth plan was proposed. Finally, the ARIMA forecasting model is used to predict the indicators in the future more than ten years. The results verify the effectiveness of the urban smart growth plan and the potential of the plans.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Urban Smart Growth Mathematical Model and Application
AU  - Geng Liu
AU  - Xiao Han
AU  - Zhen Li
Y1  - 2018/06/26
PY  - 2018
N1  - https://doi.org/10.11648/j.acm.20180703.12
DO  - 10.11648/j.acm.20180703.12
T2  - Applied and Computational Mathematics
JF  - Applied and Computational Mathematics
JO  - Applied and Computational Mathematics
SP  - 83
EP  - 88
PB  - Science Publishing Group
SN  - 2328-5613
UR  - https://doi.org/10.11648/j.acm.20180703.12
AB  - In view of urban sprawl brought about by urbanization development, this paper establishes a weighted comprehensive evaluation model to measure the city’s smart growth status. Bordeaux is selected as the research object, and relevant data are collected and processed. The data is then substituted into the established model to solve the problem. The results show that some indicators in the city are still at a poor level. Combining the indicators with higher weights and lower scores in the evaluation results, a better urban smart growth plan was proposed. Finally, the ARIMA forecasting model is used to predict the indicators in the future more than ten years. The results verify the effectiveness of the urban smart growth plan and the potential of the plans.
VL  - 7
IS  - 3
ER  -

Copy | Download

Author Information

Geng Liu

Basic Teaching Department, Rongcheng College of Harbin University of Science and Technology, Weihai, P. R. China
Xiao Han

Electrical Engineering Department, Rongcheng College of Harbin University of Science and Technology, Weihai, P. R. China
Zhen Li

Mechanical Engineering Department, Rongcheng College of Harbin University of Science and Technology, Weihai, P. R. China

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Geng Liu, Xiao Han, Zhen Li. (2018). Urban Smart Growth Mathematical Model and Application. Applied and Computational Mathematics, 7(3), 83-88. https://doi.org/10.11648/j.acm.20180703.12

Copy | Download

ACS Style

Geng Liu; Xiao Han; Zhen Li. Urban Smart Growth Mathematical Model and Application. Appl. Comput. Math. 2018, 7(3), 83-88. doi: 10.11648/j.acm.20180703.12

Copy | Download

AMA Style

Geng Liu, Xiao Han, Zhen Li. Urban Smart Growth Mathematical Model and Application. Appl Comput Math. 2018;7(3):83-88. doi: 10.11648/j.acm.20180703.12

Copy | Download

@article{10.11648/j.acm.20180703.12,
  author = {Geng Liu and Xiao Han and Zhen Li},
  title = {Urban Smart Growth Mathematical Model and Application},
  journal = {Applied and Computational Mathematics},
  volume = {7},
  number = {3},
  pages = {83-88},
  doi = {10.11648/j.acm.20180703.12},
  url = {https://doi.org/10.11648/j.acm.20180703.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20180703.12},
  abstract = {In view of urban sprawl brought about by urbanization development, this paper establishes a weighted comprehensive evaluation model to measure the city’s smart growth status. Bordeaux is selected as the research object, and relevant data are collected and processed. The data is then substituted into the established model to solve the problem. The results show that some indicators in the city are still at a poor level. Combining the indicators with higher weights and lower scores in the evaluation results, a better urban smart growth plan was proposed. Finally, the ARIMA forecasting model is used to predict the indicators in the future more than ten years. The results verify the effectiveness of the urban smart growth plan and the potential of the plans.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - Urban Smart Growth Mathematical Model and Application
AU  - Geng Liu
AU  - Xiao Han
AU  - Zhen Li
Y1  - 2018/06/26
PY  - 2018
N1  - https://doi.org/10.11648/j.acm.20180703.12
DO  - 10.11648/j.acm.20180703.12
T2  - Applied and Computational Mathematics
JF  - Applied and Computational Mathematics
JO  - Applied and Computational Mathematics
SP  - 83
EP  - 88
PB  - Science Publishing Group
SN  - 2328-5613
UR  - https://doi.org/10.11648/j.acm.20180703.12
AB  - In view of urban sprawl brought about by urbanization development, this paper establishes a weighted comprehensive evaluation model to measure the city’s smart growth status. Bordeaux is selected as the research object, and relevant data are collected and processed. The data is then substituted into the established model to solve the problem. The results show that some indicators in the city are still at a poor level. Combining the indicators with higher weights and lower scores in the evaluation results, a better urban smart growth plan was proposed. Finally, the ARIMA forecasting model is used to predict the indicators in the future more than ten years. The results verify the effectiveness of the urban smart growth plan and the potential of the plans.
VL  - 7
IS  - 3
ER  -

Copy | Download