地理科学 ›› 2018, Vol. 38 ›› Issue (4): 531-538.doi: 10.13249/j.cnki.sgs.2018.04.006

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城市住宅小区容积率时空分异研究——以大连市内四区为例

李雪铭1,2(), 张大昊1(), 田深圳1, 孙赫1, 王淼1   

  1. 1.辽宁师范大学城市与环境学院,辽宁 大连 116029
    2.辽宁师范大学海洋经济与可持续发展研中心,辽宁 大连116029
  • 收稿日期:2017-06-02 修回日期:2017-10-16 出版日期:2018-04-20 发布日期:2018-04-20
  • 作者简介:

    作者简介:李雪铭 (1964-),男,江苏常熟人,教授,博士生导师,主要从事城市人居环境研究。E-mail: lixueming999@163.com

  • 基金资助:
    国家自然科学基金项目(41671158,41171137)、教育部博士点基金项目(20132136110001)、辽宁省高等学校优秀人才支持计划(LR2013050)资助

Spatial and Temporal Differences of Urban Residential Quarter Floor Area Ratio: A Case Study of Four Districts in Dalian

Xueming Li1,2(), Dahao Zhang1(), Shenzhen Tian1, He Sun1, Miao Wang1   

  1. 1. School of Urban and Environmental Sciences, Liaoning Normal University, Dalian 116029, Liaoning, China
    2. Centre for Marine Economy and Sustainable Development Research, Liaoning Normal University, Dalian 116029, Liaoning,China
  • Received:2017-06-02 Revised:2017-10-16 Online:2018-04-20 Published:2018-04-20
  • Supported by:
    [National Natural Science Foundation of China (41671158, 41171137), Ph.D. Programs Foundation of Ministry of Education (20132136110001), Supported by Program for Liaoning Excellent Talents in University (LR2013050).]

摘要:

以大连市内四区为例,将城镇地籍调查数据与互联网房产数据相结合作为基础数据,通过ArcGIS软件生成住宅小区点数据的空间分布图,对大连市住宅小区容积率的时间演变和空间分布进行研究,并利用锡尔指数计算住宅小区容积率的空间差异量化测度指数,最后阐述住宅小区容积率空间差异的机制。结果表明:① 1992~2016年大连市住宅小区的数量在持续发展时期最多,平均容积率展现出波动上涨的趋势。② 区:大尺度包括冷炳荣住宅小区容积率整体上呈现出不均匀性和破碎性,局部又呈现出混乱性和复杂性,东部地区小区容积率分异比西部大。③ 中山区空间差异量化测度指数最高为0.831,甘井子区最低为0.125,西岗区与四区整体格局最为相近。极低等级容积率空间分异指数最高,容积率分异指数由两极向中间递减。大连市住宅小区容积率空间差异主要体现在区域内,其对研究区容积率空间分异影响较大。④ 住宅小区容积率空间差异的主要原因为下垫面性质对住宅小区建设的限制、区位的优良性对住宅类型的指向、城市规划对土地利用的导向、极差地租与容积率的相关性、小区建设成本对容积率的影响。

关键词: 容积率, 住宅小区, 锡尔指数, 大连市

Abstract:

Floor area ratio not only exerts great an impact on urban building density, architecture capacity and land utilization, but also has a great significance to the urban planning and the development of regional economy. In this article, taking the four districts of Dalian as an example, integrates cadastral survey data of cities and towns with Internet property data as basic data, by ArcGIS software creating the spatial distribution of residential quarter points. The research towards the time evolution and spatial distribution of residential quarters floor area ratio, utilizes the Theil index to calculate the spatial difference quantificational measurement index. Ultimately, it illustrates the mechanism of the spatial difference of floor area ratio of the residential quarters. The result shows that: 1) During 1992 to 2016, the number of resident quarter in Dalian is the largest during the period of sustainable development, the average of floor area ratio depicts the upward trend of fluctuation. 2) The floor area ratio of the residential quarters presents uniformity and fragmentation as a whole. Moreover, it partially shows chaos and complexity as well. The difference of floor area ratio of the eastern residential quarters is larger than western parts. 3) The highest quantificational measurement index of spatial difference is 0.831 in Zhongshan District, compared to the lowest one in Ganjingzi District, which is 0.125. Besides, the distribution of Xigang District is the most familiar to overall layout of four districts. The differentiation index of extremely low space of floor area ratio is the highest, the differentiation index of floor area ratio is from bipolar to the middle in descending order. The spatial difference of floor area ratio of residential quarter in Dalian mainly embodies within the area, which plays a dominate role in study area. 4) The main reasons of the spatial difference of residential quarter floor area ratio are the restrictions of the underlying surface properties on construction of residential areas; the excellent locational direction to the types of residential quarters; the orientation of urban planning to the land utilization; the relativity between the differential land rent and floor area ratio; and the influence of residential construction cost to floor area ratio.

Key words: floor area ratio, residential quarter, Theil index, Dalian

中图分类号: 

  • K903