Urban Land Use Early Warning System for Shenzheng City

DOI

10.2991/rsete.2013.24How to use a DOI?

Keywords

urban land use, early warning system, system dynamic model, cellular automata model

Abstract

Land is a sustainable renewable resource important for its huge influence on environment, society and economy. In this paper, a new framework was put forward to building urban land use spatial early warning system. In the proposed approach, system dynamic model (SD), cellular automata model (CA), temporal remote sensing data and geographical spatial analysis were integrated for Shenzhen land use spatial prediction and warning. SD model was applied for linking the socio-economic index, policies factors and land use area into a loop network at regional levels. Meanwhile, CA model was used to compute transitional probabilities of each cell in order to simulate land use changes. Based on land use control indices, spatial distribution of land use alert status was obtained. The results showed that the system had the ability to reflect the complex behavior of land use system, and met the needs of land use early warning systems and annual planning of land supplies of Shenzhen municipality.

Copyright

© 2013, 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  - Renrong Jiang
AU  - Hao Wang
AU  - Hongga Li
AU  - Lin Liu
AU  - Xiaoxia Huang
PY  - 2013/08
DA  - 2013/08
TI  - Urban Land Use Early Warning System for Shenzheng City
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 94
EP  - 97
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.24
DO  - 10.2991/rsete.2013.24
ID  - Jiang2013/08
ER  -