Urban Land Intensive Use Evaluation and Obstacle Factor Diagnosis -Based on Ecological Health and Low-carbon Development

FAN Pengfei; LIANG Liutao; CHEN Changyou; DUAN Penghui; PENG Hongjie; GUO Chunyang

doi:10.13961/j.cnki.stbctb.20160425.002

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Urban Land Intensive Use Evaluation and Obstacle Factor Diagnosis -Based on Ecological Health and Low-carbon Development

- Urban Land Intensive Use Evaluation and Obstacle Factor Diagnosis -Based on Ecological Health and Low-carbon Development
- Bulletin of Soiland Water Conservation Vol. 36, Issue 4, Pages: 273-279(2016)
- 作者机构：
  
  1. 河南大学环境与规划学院,河南,开封,475004
  2. 河南大学黄河中下游数字地理技术教育部重点实验室,河南,开封,475004
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20160425.002
  CLC：
- Published：2016
- 稿件说明：
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FAN Pengfei, LIANG Liutao, CHEN Changyou, et al. Urban Land Intensive Use Evaluation and Obstacle Factor Diagnosis -Based on Ecological Health and Low-carbon Development[J]. Bulletin of Soiland Water Conservation, 2016, 36(4): 273-279.
DOI：

FAN Pengfei, LIANG Liutao, CHEN Changyou, et al. Urban Land Intensive Use Evaluation and Obstacle Factor Diagnosis -Based on Ecological Health and Low-carbon Development[J]. Bulletin of Soiland Water Conservation, 2016, 36(4): 273-279. DOI： 10.13961/j.cnki.stbctb.20160425.002.

摘要

[目的] 揭示京津冀地区城市土地集约利用状况，为生态健康与低碳发展视域下的城市土地集约利用提供理论基础。[方法] 相对熵组合赋权法、多因素综合评价法、协调度测算法和障碍因子诊断法。[结果]（1）京津冀地区城市土地集约利用水平呈现出以京津为核心的“十字形”扩散态势。（2）系统协调度与土地集约利用水平之间显著相关，但不同城市间存在相对差异。（3）高度集约区的北京市和天津市，主要障碍因子集中在与生态健康和低碳环保有关的指标上；中度集约区的秦皇岛市和唐山市，主要障碍因子集中在与土地利用程度和布局相关的指标上，石家庄、邯郸和保定地区则集中在与生态健康相关的指标上；低度集约区的沧州、廊坊和邢台地区的主要障碍因子集中在与生态环境和低碳投入相关的指标上，承德和衡水地区集中在与经济发展和土地投入相关的指标上；粗放利用区的张家口，主要障碍因子集中在与经济发展和生态保护相关的指标上。[结论] 将生态健康与低碳发展理念纳入城市土地集约利用研究中，可以较为科学全面地刻画出城市土地集约利用状况，为今后城市土地的科学利用提供决策支持。

Abstract

[Objective] Revealing the urban land intensive utilization in Beijing-Tianjin-Hebei area

to provide basis for the study of urban land intensive utilization under the perspective of ecological health and low-carbon development. [Methods] The relative entropy method of combination weighting

multi-factor comprehensive evaluation method

coordinate measuring method and obstacle factor diagnosis method were used in this study. [Results] (1) The urban land intensive utilization of Beijing-Tianjin-Hebei region showed a "cross" diffusion situation with Beijing City and Tianjin City as its core. (2) Correlation between coordination of the system and the intensive use of land was found significant and different regionally. (3) The main obstacle factors focused on the ecological health and low carbon-related indicators in Beijing and Tianjin cities

and focused on the land use structure-related indicators in Qinhuangdao and Tangshan cities. It is focused on the ecological health-related indicators in Shijiazhuang

Handan and Baoding cities

and in the low-carbon and ecological environment-related obstacle indicators in Cangzhou

Langfang and Xingtai cities. It is focused on the obstacle factors of economic development and investment in Chengde and Hengshui cities

and factors focused on the economic development and ecological protection in Zhangjiakou City. [Conclusion] Taking the concept of ecological health and low-carbon development into the study could provide us more scientific and comprehensive view to reflect the urban land intensive use

and provide support for the scientific land use in the future.

关键词

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references

秦鹏,陈健飞.香港与深圳土地集约利用对比研究[J].地理研究,2011,30(6):1129-1136.

化龙雷,雷国平,张慧.煤炭城市土地集约利用评价及其驱动因子分析:以黑龙江省七台河市为例[J].水土保持研究,2012(1):212-216.

聂艳,于婧,胡静,等.基于系统协调度的武汉城市土地集约利用评价[J].资源科学,2009,31(11):1934-1939.

陈莹,谢媛媛.武汉市土地集约利用时空分异及障碍因素诊断[J].长江流域资源与环境,2015,24(1):8-15.

渠丽萍,张丽琴,胡伟艳.城市土地集约利用变化影响因素研究:以武汉市为例[J].资源科学,2010,32(5):970-975.

周峰.基于数据包络方法的南京市城市土地集约利用效率分析[J].长江流域资源与环境,2014(S1):48-52.

周璐红,洪增林,薛旭平,等.西安市大兴新区旧城改造土地集约利用潜力评价[J].中国土地科学,2009,23(2):49-57.

杨伟,廖和平,谢德体,等.基于生态健康的重庆市南岸区城市土地集约利用综合评价[J].中国土地科学,2012,26(4):78-83.

黎孔清,陈银蓉.低碳理念下的南京市土地集约利用评价[J].中国土地科学,2013,27(1):61-66.

郑华伟,刘友兆,丑建立.中国城市土地集约利用与生态环境协调发展评价研究[J].水土保持通报,2012,32(1):227-232.

Houghton R A, Hobble J E, Mwllillo J M, et al. Changes in the carbon content of terrestrial biota and soils between 1860 and 1980: A net release of CO

to the atmosphere[J]. Ecological Monographic, 1983, 33(5):235-262.

曹彦鹏,冯忠江.精明增长理念下低碳经济发展与城市土地集约利用动态耦合研究:以石家庄市为例[J].水土保持通报,2015,35(1):242-248.

赵敏宁,周治稳,曹玉香,等.陕西省城市土地集约利用评价及其区域差异研究[J].水土保持研究,2014,21(5):210-215.

黎孔清,陈银蓉,陈家荣.基于ANP的城市土地低碳集约利用评价模型研究:以南京市为例[J].经济地理,2013,33(2):156-161.

张文斌.基于改进PSR模型的西北干旱区土地利用系统健康评价:以玉门市为例[J].中国农学通报,2014,30(34):74-80.

李春燕,南灵.陕西省土地生态安全动态评价及障碍因子诊断[J].中国土地科学,2015,29(4):72-81.

周宇峰,魏法杰.组合赋权法在企业效绩评价中的应用[J].工业工程与管理,2007(4):51-54.

范辉,刘卫东,吴泽斌.城市土地集约利用内部协调性的时空演变:以武汉市中心城区为例[J].地理科学,2014,34(6):696-704.

唐爽,莫宏伟,袁志芬,等.湘江流域主要城市土地利用效率差异性评价[J].地理空间信息,2015,13(1):134-136.

曲长祥,刘璐,冯翔迪.城市土地集约利用评价及其驱动因子分析:以绥化市为例[J].东北农业大学学报,2015,46(4):94-100.

于尚云,郭建科.辽宁省城市土地利用集约度测定及其时空差异[J].经济地理,2014,34(11):140-145.

石培基,吴燕芳.陇南市建设用地集约利用时空差异评价研究[J].干旱区资源与环境,2011,25(1):80-85.

范辉,刘卫东,吴泽斌.城市土地集约利用内部协调性的时空演变:以武汉市中心城区为例[J].地理科学,2014,34(6):696-704.

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