Seeking the Smartest Growth

DOI

10.2991/mcei-17.2017.34How to use a DOI?

Keywords

AHP; Linear programming; Gray relational analysis theory; Intelligent growth

Abstract

Taking the cities of Karamay in Xinjiang and Arlington in the United States as examples, based on the complexity theory, we used the improved analytic hierarchy process (AHP) to determine the three indicators of economic development, social equity and environmental sustainability, the three indicators are positively correlated with the overall index. We use the gray relational analysis theory to evaluate the relationship between the urban development plan and the ideal scheme index. We have established economic growth models for economic development and discussed the relationship between GDP and labor force, investment and regional cooperation through linear programming. We established the multi-agent model and the cellular automata model to simulate the dynamic urban expansion. By comparing the time and space, we got the conclusion that different stages of urban development, spatial location of the same impact factors may occur in different roles. We did these all to seek the best regional planning for the city in line with the principle of intelligent growth when population increases and demand grows.

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  - Kaiyuan Yu
PY  - 2017/12
DA  - 2017/12
TI  - Seeking the Smartest Growth
BT  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 159
EP  - 163
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.34
DO  - 10.2991/mcei-17.2017.34
ID  - Yu2017/12
ER  -