丘陵山区城镇扩展边界划定研究——以重庆市江津区为例
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摘要
为了协调丘陵山区城镇发展与生态保护的关系,促进土地资源的节约集约利用,以典型丘陵山区重庆市江津区为例,运用建设用地适宜性评价和CA-Markov模型相结合的方法划定江津区2030年城镇用地扩展边界。结果显示,江津区2030年城镇用地扩展边界内面积为199.57 km2,占江津区土地总面积的6.2%;不同于平原地区的集聚组团扩展,江津区城镇扩展的形态主要为条带状;中心城区和东部中心镇、中部中心镇、西部中心镇是其城镇扩展的主要增长极;扩展的方向大致呈"十字"方向,具体主要是沿增长极四周扩展以及沿长江和各交通主干道扩展。
In order to coordinate the relationship between urban development and ecological protection in hilly and mountainous areas, and promote the intensive and economical use of land resources, taking Jiangjin district of Chongqing as an example, the boundary of urban land use expansion in Jiangjin district in 2030 was delineated using the method of combining the suitability evaluation of construction land and CA-Markov model. The results show that the area within the boundary of urban land expansion in Jiangjin region in 2030 is 199.57 km2, which accounts for 6.2% of the total land area of Jiangjin district.Different from the agglomeration and group expansion in plain area, the form of urban expansion in Jiangjin district is mainly zonal, the central city, the central town in the east, midland and the west are the main growth poles of the urban expansion. And the direction of the expansion is "cross", which mainly extends around the growth pole and along the Yangtze River and the main roads of traffic.
In order to coordinate the relationship between urban development and ecological protection in hilly and mountainous areas, and promote the intensive and economical use of land resources, taking Jiangjin district of Chongqing as an example, the boundary of urban land use expansion in Jiangjin district in 2030 was delineated using the method of combining the suitability evaluation of construction land and CA-Markov model. The results show that the area within the boundary of urban land expansion in Jiangjin region in 2030 is 199.57 km2, which accounts for 6.2% of the total land area of Jiangjin district.Different from the agglomeration and group expansion in plain area, the form of urban expansion in Jiangjin district is mainly zonal, the central city, the central town in the east, midland and the west are the main growth poles of the urban expansion. And the direction of the expansion is "cross", which mainly extends around the growth pole and along the Yangtze River and the main roads of traffic.
引文
[1]李咏华.生态视角下的城市增长边界划定方法———以杭州市为例[J].城市规划,2011,35(12):83-90.
[2]林坚,乔治洋,叶子君.城市开发边界的“划”与“用”———我国14个大城市开发边界划定试点进展分析与思考[J].城市规划学刊,2017(2):37-43.
[3]刘焱序,彭建,孙茂龙,等.基于生态适宜与风险控制的城市新区增长边界划定———以济宁市太白湖新区为例[J].应用生态学报,2016,27(8):2605-2613.
[4] PENDALL R,MARTIN J,FULTON W B. Holding the line:Urban containment in the United States[M].Washington,DC. United States:Brookings institution,2002.
[5] ELSON M J,WALKER S,MACDONALD R,et al. The effectiveness of green belts[M].London:HMSO publications centre,1993.
[6] TAYYEBI A,PIJANOWSKI B C,TAYYEBI A H. An urban growth boundary model using neural networks,GIS and ra-dial parameterization:An application to Tehran,Iran[J].Landscape and urban planning,2011,100(1):35-44.
[7]龙瀛,韩昊英,毛其智.利用约束性CA制定城市增长边界[J].地理学报,2009,64(8):999-1008.
[8]王玉国,尹小玲,李贵才.基于土地生态适宜性评价的城市空间增长边界划定———以深汕特别合作区为例[J].城市发展研究,2012,19(11):76-82.
[9]杨振,王晓霞,刘会敏.洱海流域城镇用地扩展边界划分研究[J].经济地理,2015,35(2):163-168.
[10]朱寿红,舒帮荣,马晓冬,等.基于“反规划”理念及FLUS模型的城镇用地增长边界划定研究———以徐州市贾汪区为例[J].地理与地理信息科学,2017,33(5):80-86,127.
[11]黄光宇.山地城市空间结构的生态学思考[J].城市规划,2005,29(1):57-63.
[12]赵万民,束方勇.基于生态安全约束条件的西南山地城镇适应性规划策略研究[J].西部人居环境学刊,2016,31(3):1-7.
[13]向颖.国外山地城市空间形态研究[D].重庆:重庆大学,2014.
[14]张继刚,赵万民.地域城市学视角下的山地城市学发展的启示[J].城市规划,2014,38(6):32-37.
[15]管旸.空间增长边界在山地城市规划中的应用探讨[A].中国城市规划学会.城乡治理与规划改革———2014中国城市规划年会论文集(11———规划实施与管理)[C].北京:中国建筑工业出版社,2014.13.
[16]蔡青.基于景观生态学的城市空间格局演变规律分析与生态安全格局构建[D].长沙:湖南大学,2012.
[17]崔耀平,吕可文,何春玲,等.生态敏感性限制下的城市建设用地适宜性评价[J].测绘科学,2016,41(9):47-53,59.
[18]胡业翠,付玲,李琦.北京城市增长边界预测[J].地球信息科学学报,2017,19(4):486-492.
[19]邱炳文,陈崇成.基于多目标决策和CA模型的土地利用变化预测模型及其应用[J].地理学报,2008,63(2):165-174.
[20]井云清,张飞,张月.基于CA-Markov模型的艾比湖湿地自然保护区土地利用/覆被变化及预测[J].应用生态学报,2016,27(11):3649-3658.
[21] HAN J,HAYASHI Y,CAO X,et al.Application of an integrated system dynamics and cellular automata model for urban growth assessment:A case study of Shanghai,China[J].Landscape and urban planning,2009,91(3):133-141.
[22]陆艺.基于矢量元胞自动机的启东市城区土地利用变化模拟与分析[D].南京:南京师范大学,2013.
[23]陈功勋.基于CLUE-S模型和GIS的土地利用变化模拟研究[D].南京:南京大学,2012.
[2]林坚,乔治洋,叶子君.城市开发边界的“划”与“用”———我国14个大城市开发边界划定试点进展分析与思考[J].城市规划学刊,2017(2):37-43.
[3]刘焱序,彭建,孙茂龙,等.基于生态适宜与风险控制的城市新区增长边界划定———以济宁市太白湖新区为例[J].应用生态学报,2016,27(8):2605-2613.
[4] PENDALL R,MARTIN J,FULTON W B. Holding the line:Urban containment in the United States[M].Washington,DC. United States:Brookings institution,2002.
[5] ELSON M J,WALKER S,MACDONALD R,et al. The effectiveness of green belts[M].London:HMSO publications centre,1993.
[6] TAYYEBI A,PIJANOWSKI B C,TAYYEBI A H. An urban growth boundary model using neural networks,GIS and ra-dial parameterization:An application to Tehran,Iran[J].Landscape and urban planning,2011,100(1):35-44.
[7]龙瀛,韩昊英,毛其智.利用约束性CA制定城市增长边界[J].地理学报,2009,64(8):999-1008.
[8]王玉国,尹小玲,李贵才.基于土地生态适宜性评价的城市空间增长边界划定———以深汕特别合作区为例[J].城市发展研究,2012,19(11):76-82.
[9]杨振,王晓霞,刘会敏.洱海流域城镇用地扩展边界划分研究[J].经济地理,2015,35(2):163-168.
[10]朱寿红,舒帮荣,马晓冬,等.基于“反规划”理念及FLUS模型的城镇用地增长边界划定研究———以徐州市贾汪区为例[J].地理与地理信息科学,2017,33(5):80-86,127.
[11]黄光宇.山地城市空间结构的生态学思考[J].城市规划,2005,29(1):57-63.
[12]赵万民,束方勇.基于生态安全约束条件的西南山地城镇适应性规划策略研究[J].西部人居环境学刊,2016,31(3):1-7.
[13]向颖.国外山地城市空间形态研究[D].重庆:重庆大学,2014.
[14]张继刚,赵万民.地域城市学视角下的山地城市学发展的启示[J].城市规划,2014,38(6):32-37.
[15]管旸.空间增长边界在山地城市规划中的应用探讨[A].中国城市规划学会.城乡治理与规划改革———2014中国城市规划年会论文集(11———规划实施与管理)[C].北京:中国建筑工业出版社,2014.13.
[16]蔡青.基于景观生态学的城市空间格局演变规律分析与生态安全格局构建[D].长沙:湖南大学,2012.
[17]崔耀平,吕可文,何春玲,等.生态敏感性限制下的城市建设用地适宜性评价[J].测绘科学,2016,41(9):47-53,59.
[18]胡业翠,付玲,李琦.北京城市增长边界预测[J].地球信息科学学报,2017,19(4):486-492.
[19]邱炳文,陈崇成.基于多目标决策和CA模型的土地利用变化预测模型及其应用[J].地理学报,2008,63(2):165-174.
[20]井云清,张飞,张月.基于CA-Markov模型的艾比湖湿地自然保护区土地利用/覆被变化及预测[J].应用生态学报,2016,27(11):3649-3658.
[21] HAN J,HAYASHI Y,CAO X,et al.Application of an integrated system dynamics and cellular automata model for urban growth assessment:A case study of Shanghai,China[J].Landscape and urban planning,2009,91(3):133-141.
[22]陆艺.基于矢量元胞自动机的启东市城区土地利用变化模拟与分析[D].南京:南京师范大学,2013.
[23]陈功勋.基于CLUE-S模型和GIS的土地利用变化模拟研究[D].南京:南京大学,2012.