Smart Growth and Urban Development
- Xing Ding
- Corresponding Author
- Xing Ding
Available Online June 2017.
- https://doi.org/10.2991/ammee-17.2017.90How to use a DOI?
- Smart Growth, Principal Component Analysis, BP neural network
- 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
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xing Ding PY - 2017/06 DA - 2017/06 TI - Smart Growth and Urban Development BT - Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/ammee-17.2017.90 DO - https://doi.org/10.2991/ammee-17.2017.90 ID - Ding2017/06 ER -