Smart Growth and Urban Development

DOI

10.2991/ammee-17.2017.90How to use a DOI?

Keywords

Smart Growth, Principal Component Analysis, BP neural network

Abstract

Smart Growth theory, Originated in the 1990's, advocate a people-oriented, healthy and harmonious development concept, and it has an increasingly important position in urban planning. In order to help implement the smart growth theories into city design around the world, we have chosen Bendigo from Australia and Galway from Ireland to measure the success of the selected cities in the current development plan and give our suggestions in the future. First, taking the ten principles of smart growth into account, we select ten indicators (natural population growth rate, the percentage of undergraduate students aged fifteen and over, etc) and by using Principal Component Analysis, we get the main factors affecting the urban smart growth. Then, taking the above analysis of the main factors and the two cities of their geographical location and other features into account, We selected different indicators for each city, use BP neural network to predict the change of other indicators in the next 20 years and test the correctness of the parameters. After that, we design the development indicators of the two cities in the next 20 years, provide our corresponding suggestions

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  - Xing Ding
PY  - 2017/06
DA  - 2017/06
TI  - Smart Growth and Urban Development
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 468
EP  - 471
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.90
DO  - 10.2991/ammee-17.2017.90
ID  - Ding2017/06
ER  -