Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)

Forecasts of Urban Construction Land Scale based on Driving Force Analysis

Authors
Yanjun Wang, Liujun Li
Corresponding Author
Yanjun Wang
Available Online September 2017.
DOI
10.2991/icmmcce-17.2017.86How to use a DOI?
Keywords
Construction land scale; Correlational analysis; Entropy method
Abstract

On the basis of summing up the evaluation and prediction methods of construction land scale, this paper explored a new method for forecasting construction land in small towns. Taking Fuping County as an example, correlation analysis was used to determine the driven factors of land expansion such as economy, population, construction investment and so on, and entropy method was used to determine the impacting weight of each driving factor. At last, this paper analyzed mechanism and characteristics of urban expansion, to forecast the scale of construction land using regression analysis, which will provide basis for urban construction and policy making.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
978-94-6252-381-4
ISSN
2352-5401
DOI
10.2991/icmmcce-17.2017.86How to use a DOI?
Copyright
© 2017, 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  - Yanjun Wang
AU  - Liujun Li
PY  - 2017/09
DA  - 2017/09
TI  - Forecasts of Urban Construction Land Scale based on Driving Force Analysis
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 453
EP  - 456
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.86
DO  - 10.2991/icmmcce-17.2017.86
ID  - Wang2017/09
ER  -