Smart growth comparison in two specific cities

DOI

10.2991/mecs-17.2017.111How to use a DOI?

Keywords

Principal Component Analysis(PCA),smart growth,Grey Prediction

Abstract

In these years, some of the cities' continued urban sprawl and the loss of farmland which is surrounding urban centers causes their development out of balance. It does great harm to a country as well as people's happiness. Smart growth is a theory which comprehensively gives the solution to this problem. So we build a contribution evaluation model for the first class indicators and ranking their potentials in each city and then analyze result . Finally, We use analogy simulation to get the data we need in 2050.To begin with, we try to select another two cities that have similar geographical position with Chishui and Heshan but develop faster than them. Meanwhile, they meet the requirement of the same station of development when their populations are approached with the current populations of Chishui and Heshan. Thus, the predicted data can be replaced approximately with new cities' data collected in the year when their population approached to 150% of the current populations of Chishui and Heshan. In this way,our optimized model works out the predicted success of smart growths in 2050.Finally, Chishui scores 2.6341 and Heshan scores 3.5267. Comparing the result with what we forecast before, we can confidently say that our plans support this level of growth in population.

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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TY  - CONF
AU  - Huanjing Lao
PY  - 2016/06
DA  - 2016/06
TI  - Smart growth comparison in two specific cities
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SP  - 62
EP  - 67
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.111
DO  - 10.2991/mecs-17.2017.111
ID  - Lao2016/06
ER  -