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Entropy 2013, 15(9), 3490-3506; doi:10.3390/e15093490
Article

Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China

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Received: 9 May 2013; in revised form: 17 August 2013 / Accepted: 28 August 2013 / Published: 2 September 2013
(This article belongs to the Special Issue Entropy and Urban Sprawl)
Download PDF [476 KB, uploaded 2 September 2013]
Abstract: In recent years, changes in land use resulting from rapid urbanization or urban sprawl have brought about many negative effects to land ecosystems, and have led to entropy increases. This study introduces the novel ideas of a planning regulation coefficient for sustainable land-use planning in order to decrease entropy, combined with the CLUE-S model to predict land-use change. Three scenarios were designed as the basis for land-use projections for Guangzhou, China, in 2015, and the changes in the land ecological service function for each scenario were predicted. The results show that, although the current land-use plan is quite reasonable, it will be necessary to further strengthen the protection of farmland and important ecological service function areas.
Keywords: ecological service; entropy; land-use planning; CLUE-S model; Guangzhou ecological service; entropy; land-use planning; CLUE-S model; Guangzhou
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Xu, L.; Li, Z.; Song, H.; Yin, H. Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China. Entropy 2013, 15, 3490-3506.

AMA Style

Xu L, Li Z, Song H, Yin H. Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China. Entropy. 2013; 15(9):3490-3506.

Chicago/Turabian Style

Xu, Linyu; Li, Zhaoxue; Song, Huimin; Yin, Hao. 2013. "Land-Use Planning for Urban Sprawl Based on the CLUE-S Model: A Case Study of Guangzhou, China." Entropy 15, no. 9: 3490-3506.


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