Potential Conflict Detection in Space Control of Construction Land Based on Overall Land Use Planning

MA Danxun; LI Manchun; JIN Xiaolong; LIU Xiaoqiang; JIANG Penghui

doi:10.13961/j.cnki.stbctb.2018.06.045

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Potential Conflict Detection in Space Control of Construction Land Based on Overall Land Use Planning

- Potential Conflict Detection in Space Control of Construction Land Based on Overall Land Use Planning
- Bulletin of Soiland Water Conservation Vol. 38, Issue 6, Pages: 298-303(2018)
- 作者机构：
  
  1. 南京大学地理与海洋科学学院,江苏,南京,210023
  2. 江苏省地理信息技术重点实验室,江苏,南京,210023
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2018.06.045
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
MA Danxun, LI Manchun, JIN Xiaolong, et al. Potential Conflict Detection in Space Control of Construction Land Based on Overall Land Use Planning[J]. Bulletin of Soiland Water Conservation, 2018, 38(6): 298-303.
DOI：

MA Danxun, LI Manchun, JIN Xiaolong, et al. Potential Conflict Detection in Space Control of Construction Land Based on Overall Land Use Planning[J]. Bulletin of Soiland Water Conservation, 2018, 38(6): 298-303. DOI： 10.13961/j.cnki.stbctb.2018.06.045.

摘要

[目的] 准确识别、检测建设用地空间管制分区与城市扩张之间的潜在冲突，以期为下一轮土地利用总体规划的实施与土地资源管理工作的开展提供理论参考与技术方法支撑。[方法] 基于CA-Markov模型模拟预测了2020年江苏省常州市土地利用状况，在此基础上集成GIS空间分析技术，识别并检测了常州市2015—2020年建设用地空间管制分区与城市未来发展之间的潜在冲突区域。[结果] ①2020年常州市建设用地总量及新增量规模将分别达到规划目标的101.16%，159.97%，即会突破土地利用总体规划目标；禁止建设区内建设用地空间管制潜在冲突面积较少；②限制建设区内建设用地空间管制潜在冲突面积较大，约占新增建设用地面积的59.23%，其中约有59.15%的潜在冲突分布在武进区。[结论] 在常州市下一轮土地利用总体规划编制与实施过程中，应重点强化对限制建设区内潜在冲突区域的管控。

Abstract

[Objective] In order to provide theoretical reference and technical methods for the implementation of the next round of overall land use planning and the carrying out of the land resources management

we aimed to accurately identify and detect the potential conflicts between land use control zones and urban expansion.[Methods] Based on the CA-Markov model

the land use status of Changzhou City

Jiangsu Province in 2020 was simulated. Then

the spatial analysis technology of GIS was applied to identify and detect the potential conflict areas between the spatial regulation zone of construction lands and the development trends of Changzhou City from 2015 to 2020.[Results] ① The total scale of construction land and the amount of newly increased construction land will reach 101.16% and 159.97% respectively

which will exceed the goal of the overall land use planning by 2020; ② Little potential conflicts between construction land and the prohibiting construction zone was detected during 2015-2020; there is more areas of potential conflict between construction land and the limiting construction zone compared with the prohibiting construction zone

and about 59.15% of the potential conflict areas are mainly distributed in Wujin District.[Conclusion] The goveronment of Changzhou City should strengthen the control and management of the potential conflict areas in the limiting construction zone during the next round of land use planning.

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references

彭补拙.土地利用规划学[M].江苏南京:东南大学出版社,2003.

Carr M H, Zwick P. Using GIS suitability analysis to identify potential future land use conflicts in North Central Florida[J]. Journal of Conservation Planning, 2005,1:58-73.

刘巧芹,赵华甫,吴克宁,等.基于用地竞争力的潜在土地利用冲突识别研究:以北京大兴区为例[J].资源科学,2014,36(8):1579-1589.

Alterman R, Hill M. Implementation of Urban Land Use Plans[J]. Journal of the American Institute of Planners, 1978,44(3):274-285.

Laurian L, Day M, Berke P, et al. Evaluating plan implementation:A conformance-based methodology[J]. Journal of the American Planning Association, 2004,70(4):471-480.

Feitelson E, Felsenstein D, Razin E, et al. Assessing land use plan implementation:Bridging the performance-conformance divide[J]. Land Use Policy, 2017,61:251-264.

Mastop H, Faludi A. Evaluation of strategic plans:The performance principle[J]. Environment & Planning B Planning & Design 1997,24(6):815-832.

Frenkel A, Orenstein D E. Can urban growth management work in an era of political and economic change?[J]. Journal of the American Planning Association, 2012,78(1):16-33.

Loh C G. Assessing and interpreting non-conformance in land-use planning implementation[J]. Planning Practice and Research, 2011,26(3):271-287.

Padeiro M. Conformance in land-use planning:The determinants of decision, conversion and transgression[J]. Land Use Policy, 2016,55:285-299.

Abrantes P, Fontes I, Gomes E, et al. Compliance of land cover changes with municipal land use planning:Evidence from the Lisbon metropolitan region(1990-2007)[J]. Land Use Policy, 2016,51:120-34.

洪武扬,李飞雪,李满春,等.土地利用总体规划实施定位评估研究:以江苏省常州市新北区为例[J].资源科学,2013,35(10):2075-2081.

任奎,周生路,廖富强,等.基于可持续度的连云港市土地利用总体规划实施评价[J].资源科学,2008,30(2):241-246.

吕晓,黄贤金,钟太洋,等.土地利用规划对建设用地扩张的管控效果分析:基于一致性与有效性的复合视角[J].自然资源学报,2015,30(2):177-187.

王婉晶,揣小伟,黄贤金,等.基于空间吻合性的土地利用总体规划实施评价方法及应用[J].农业工程学报,2013,29(4):1-14.

王万茂.规划的本质与土地利用规划的多维思考[J].国土资源,2001,16(3):29-31.

余德贵,吴群.基于Logistic-Markov方法的土地利用结构变化多因素驱动预测模型研究与应用[J].水土保持通报,2017,37(1):149-154.

刘培,贾守军,马朝阳,等.基于GlobeLand30数据和CA_Markov模型的郑州市2000-2020年地表覆盖变化特征及预测分析[J].水土保持通报,2017,37(4):282-287.

赵建军,张洪岩,乔志和,等.基于CA-Markov模型的向海湿地土地覆被变化动态模拟研究[J].自然资源学报,2009,24(12):2178-2186.

朱会义,李秀彬.关于区域土地利用变化指数模型方法的讨论[J].地理学报,2003,58(5):643-650.

黎夏,刘小平.基于案例推理的元胞自动机及大区域城市演变模拟[J].地理学报,2007,62(10):1097-1109.

杨青生,黎夏,刘小平.基于Agent和CA的城市土地利用变化研究[J].地球信息科学学报,2005,7(2):78-81.

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