Simulation of Urban Spatial Expansion in Lianyungang

DOI

10.2991/emcs-17.2017.358How to use a DOI?

Keywords

Geographical simulation systems; Cellular automation; Artificial neural networks; Urban expansion

Abstract

By simulating the distribution situation of urban landuse, practical reference can be provided for the future social and economic development of Lianyungang city and effective ecological environment protection. The city expansion simulation of Lianyungang region is done by using GeoSOS. By using the artificial neural network and cellular automata model, urban space pattern is simulated to find out the factors of urban driving force. The results indicate: (1) The city of lianyungang and its area are expanding fast. There are big differences of the speed and scale of urban expansion in different spatial positions; (2) Urban expansion mainly depends on the encroachment of sorrounding high-quality farmlands; (3) The main driving forces of urban expansion include the environment of approaching to the Yellow Sea and the high-speed economic development of Lianyungang city.

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  - Lei Cao
PY  - 2017/03
DA  - 2017/03
TI  - Simulation of Urban Spatial Expansion in Lianyungang
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 1886
EP  - 1892
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.358
DO  - 10.2991/emcs-17.2017.358
ID  - Cao2017/03
ER  -