Remote sensing data of Hong Kong and Shenzhen and statistical data were used to extract the land use information and socio-economic statistical information, and the intensive land use database was established based on the data. According to the concept of intensive land use, the system on the evaluation of intensive land use was set up. The results of the evaluation of intensive land use were acquired as follows. The analysis shows that due to historical, economic status and differences in the international context, there were obvious differences on intensive land use between the study areas. In terms of land use intensity, Hong Kong was higher than Shenzhen. Due to the terrain and the more advanced land management system, Hong Kong had a poorer appearance in the aspects of land use and sustainable land use, but it had a better appearance than Shenzhen in the aspects of land input and effective land use. The experience of Hong Kong was used for reference to Shenzhen. Some measures should be taken to promote closer regional cooperation and major infrastructure docking. Industrial cooperation should be strengthened to build a high-quality living circle. The approach to cooperation should be innovated.
QIN Peng, CHEN Jian-fei
. A comparative study on intensive land use in Shenzhen and Hong Kong[J]. GEOGRAPHICAL RESEARCH, 2011
, 30(6)
: 1129
-1136
.
DOI: 10.11821/yj2011060016
[1] 刘黎明.土地资源学.北京:中国农业大学出版社,2004.
[2] 郑新奇.城市土地优化配置与集约利用评价.北京:科学出版社,2004.
[3] 程效东.城市土地集约利用及其潜力评价研究——以马鞍山市为例.南京:南京农业大学硕士学位论文, 2004.
[4] Henderson Steven. Regulating land use conflict on the urban fringe: Two contrasting case studies from the Australian poultry industry.Australian Geographer, 2003, 34:3~17.
[5] Priemus Hugo. Importing and exporting spatial needs: A Dutch approach. European Planning Studies, 2005, 13:371~386.
[6] Ravenscroft N. The nature and extent of diversification on rural estates in Britain. Journal of Property Research, 1990, 7:83~95.
[7] 国务院办公厅. 国务院关于促进节约集约用地的通知. http://www.gov.cn/zwgk/2008~01/07/content_851750.htm.
[8] 梅安新.遥感导论.北京:高等教育出版杜,2001.
[9] Statutory Planning Portal SOM法定规划综合网站. http://www.ozp.tpb.gov.hk .
[10] 尹君,谢俊奇,王力,等.基于RS的城市土地集约利用评价方法研究. 自然资源学报, 2007, 22(5):775~782.
[11] 查志强.城市土地集约利用潜力评价指标体系的构建.浙江统计,2002,(4):9~11.
[12] 章牧.城市土地集约利用宏观评价的设计与实现.广西师范学院学报(自然科学版),2003,20(增刊):111~116.
[13] 王丽娟.城市化进程中的城市土地集约利用研究——以江苏省南京市为例. 南京: 南京农业大学硕士学位论文, 2006.
[14] 白冰冰,成舜,李兰维.城市土地集约利用潜力宏观评价探讨——以内蒙古包头市为例.华东师范大学学报(哲学社会科学版),2003,35(1):83~88.
[15] 韩增林,刘天宝.中国地级以上城市城市化质量特征及空间差异.地理研究,2009,28(6):1508~1515.
[16] 任艳敏,张加恭,张争胜.基于层次分析法的城市土地集约利用评价——以珠三角为例. 广东土地科学, 2007, 6(3): 20~24.
[17] 侯国林,黄震方.旅游地社区参与度熵权层次分析评价模型与应用.地理研究,2010,29(10):1803~1813.
[18] 雷国平,宋戈.城镇土地集约利用的潜力计算与宏观评价.学习与探索,2006,(6):184~187.
[19] 汪波,郑家响.我国大城市土地集约利用评价研究.北京科技大学学报(社会科学版),2006,22(1):24~28.
[20] Han J A. Wezenaar Leisure land use planning and sustainability in the new town of Almere, The Netherlands. Tourism Geographies, 1999, 1:460~476.
[21] 郑华玉,沈镭.城市土地集约利用评价研究——以发展中的深圳为例.自然资源学报, 2008,23(6):1009~1021.
[22] 常青,王仰麟,吴健生,等. 城市土地集约利用程度的人工神经网络判定——以深圳市为例. 中国土地科学, 2007, 21(4): 26~31.
[23] 韦素琼,陈健飞.土地利用变化区域对比研究——以闽台为例.北京:科学出版社,2006.
[24] 刘伯恩.城市土地集约利用的途径与措施.国土资源,2003,(2):25~27.
[25] 关伟,王雪.大连市土地利用变化的人文因素.地理研究,2009,28(4):900~1000.