Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

Analysis of the Main Influencing Factors for Population Density Based on the Method of Gray Correlation Analysis

Authors
Yu Xia, Cheng Wang
Corresponding Author
Yu Xia
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.70How to use a DOI?
Keywords
Population density; Gray correlation analysis; Main influencing factors
Abstract

Aiming at analyzing the main factors which may influence the population density, this paper establishes a gray correlation analysis method to determine the main influencing factors for population density of Wuhan City according to the data in the statistical yearbook of Wuhan City. The result shows that GDP, employment quantity and completed area of housing construction are the three main factors which affect the population density of Wuhan City.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
10.2991/ifmeita-17.2018.70
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.70How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yu Xia
AU  - Cheng Wang
PY  - 2018/02
DA  - 2018/02
TI  - Analysis of the Main Influencing Factors for Population Density Based on the Method of Gray Correlation Analysis
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 416
EP  - 419
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.70
DO  - 10.2991/ifmeita-17.2018.70
ID  - Xia2018/02
ER  -