Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Application of Logistic Model in City Development Forecast

Authors
Xiaoshuai Wu
Corresponding Author
Xiaoshuai Wu
Available Online May 2017.
DOI
10.2991/msmee-17.2017.137How to use a DOI?
Keywords
Logistic Model; evaluation index; index prediction; city development
Abstract

It is well known that the Logistic model is mainly used in epidemiology. The more common situation is to explore the risk factors of a disease and predict the probability of occurrence of a disease according to the risk factors. However, we found that the Logistic model is not only significant in epidemiology, but also plays an important role in city development prediction through our research. This paper selects six factors (Growth Rate of Population; Environmental Performance Index; Per Capita Disposable Income; Unemployment Rate; Engels Coefficient; Geordie Coefficient). These factors are indexes of city development. Then we use the Logistic model to predict the value of these indexes in decades. And according to the prediction values, we can judge the development degree and provide references for city development.

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 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.137How 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  - Xiaoshuai Wu
PY  - 2017/05
DA  - 2017/05
TI  - Application of Logistic Model in City Development Forecast
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 706
EP  - 710
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.137
DO  - 10.2991/msmee-17.2017.137
ID  - Wu2017/05
ER  -