Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Comprehensive Modelling and Planning of Urban Smart Growth

Authors
Guanghao Chen, Jue Wu, Lei Xu, Nan Wang
Corresponding Author
Guanghao Chen
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.90How to use a DOI?
Keywords
smart growth; success index; principle component analysis; cellular automata; insert
Abstract

Implementation of smart growth theories into city planning has become increasingly important and necessary. In this paper, a metric to measure the success of urban smart growth was defined as Success Index and the relationship between Success Index and the three E's components was established based on principal component analysis (PCA). Cellular automata (CA) method was applied to simulate the dynamic growth processes of Pittsburgh and Zurich. Some planning regulations were made based on economic, environment and geography. The developed model can be used to evaluate the success of smart growth and to make smart urban planning with high degree of adaptability and predictability.

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 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.90How 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  - Guanghao Chen
AU  - Jue Wu
AU  - Lei Xu
AU  - Nan Wang
PY  - 2017/05
DA  - 2017/05
TI  - Comprehensive Modelling and Planning of Urban Smart Growth
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 399
EP  - 402
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.90
DO  - 10.2991/ammsa-17.2017.90
ID  - Chen2017/05
ER  -