留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

广州市主城区建筑立体形态的圈层分异及其影响因素

孙武 沈子桐 欧阳睿康 孙靓 乔志强 朱琳琳 陈翔

孙武, 沈子桐, 欧阳睿康, 孙靓, 乔志强, 朱琳琳, 陈翔. 广州市主城区建筑立体形态的圈层分异及其影响因素[J]. 华南师范大学学报(自然科学版), 2021, 53(2): 73-83. doi: 10.6054/j.jscnun.2021029
引用本文: 孙武, 沈子桐, 欧阳睿康, 孙靓, 乔志强, 朱琳琳, 陈翔. 广州市主城区建筑立体形态的圈层分异及其影响因素[J]. 华南师范大学学报(自然科学版), 2021, 53(2): 73-83. doi: 10.6054/j.jscnun.2021029
SUN Wu, SHEN Zitong, OUYANG Ruikang, SUN Jing, QIAO Zhiqiang, ZHU Linlin, CHEN Xiang. The Circle Differentiation of the Three-dimensional Architectural Forms in the Main Urban Area of Guangzhou and Its Influencing Factors[J]. Journal of South China normal University (Natural Science Edition), 2021, 53(2): 73-83. doi: 10.6054/j.jscnun.2021029
Citation: SUN Wu, SHEN Zitong, OUYANG Ruikang, SUN Jing, QIAO Zhiqiang, ZHU Linlin, CHEN Xiang. The Circle Differentiation of the Three-dimensional Architectural Forms in the Main Urban Area of Guangzhou and Its Influencing Factors[J]. Journal of South China normal University (Natural Science Edition), 2021, 53(2): 73-83. doi: 10.6054/j.jscnun.2021029

广州市主城区建筑立体形态的圈层分异及其影响因素

doi: 10.6054/j.jscnun.2021029
基金项目: 

国家自然科学基金项目 41771001

广州市科技计划项目 201704020136

详细信息
    通讯作者:

    孙武,Email:sunw@scnu.edu.cn

  • 中图分类号: K928.5; TU98

The Circle Differentiation of the Three-dimensional Architectural Forms in the Main Urban Area of Guangzhou and Its Influencing Factors

  • 摘要: 利用广州市主城区1960、1990、2017年的单点建筑物数据,结合地价与人口密度,通过同心圆概括方式,分析主城区建筑立体形态主要指标的圈层分异及其影响因素. 研究结果表明,广州市主城区的建筑立体形态近似圈层分异, 其形成与演变依赖于依山傍水的平原型城市的地理格局、城市规划以及市场力量三方面的共同作用:(1)1960年以来,尽管广州市主城区的范围大小不同,中央商务区(CBD)中心向东持续迁移,但建筑高度、建筑密度、建筑高度离散度三指标均由主城区中心向四周降低,但斜向建筑比例增多,圈层分异明显;同时,三指标整体增加,幅度逐渐增强,中心区增幅高于外围. (2)立体形态的演替速度具有以荔湾、越秀老城区为核心向外圈层增加的特点;以地价指数、人口密度、建筑高度和建筑密度4个指标,主城区在1 000 m格网尺度上可聚集成围绕老城区向外逐步过渡的圈层结构. (3)综合地价指数与人口密度的圈层格局,决定了立体形态的圈层分异;由主城区中心向北,海拔高度的提高引起了建筑平面形态上斜向建筑比例的增加.
  • 图  1  建筑高度、建筑密度和建筑高度离散度的圈层分异

    Figure  1.  Differential circles of building height, building density and building height dispersion

    图  2  3期建筑物圆度频率的变化

    Figure  2.  The change in the frequency of the roundness of buildings in the three years

    图  3  斜向建筑的圈层分异

    Figure  3.  The differential layers of oblique buildings

    图  4  2017年地价与人口密度的圈层分异

    Figure  4.  The differential layers of land price and population density in 2017

    图  5  建筑属性与地价指数、人口密度间的关系

    Figure  5.  The relationship between building property, land price and population density

    图  6  立体形态演变速度的圈层

    Figure  6.  The circle of the evolution speed of the three-dimensional form

    图  7  综合分类的圈层

    Figure  7.  The circles of the comprehensive classification

    图  8  不同海拔高度段的斜向建筑占比

    Figure  8.  The proportion of oblique buildings at different elevations

    图  9  不同缓冲带内的斜向建筑占比

    Figure  9.  The proportion of oblique buildings in different buffer zones

    表  1  不同组合下的全局参与指数

    Table  1.   The global participation index  %

    走向组合 1960年 1990年 2017年
    东西+西南/东北 1.13 2.89 1.64
    东西+南北 70.05 62.12 66.68
    东西+西北/东南 0.76 1.95 1.10
    南北+西南/东北 6.59 6.88 21.41
    西南/东北+西北/东南 14.60 9.47 13.35
    南北+西北/东南 3.14 3.56 0.82
    下载: 导出CSV

    表  2  1960、1990、2017年500 m格网建筑指标间的相关性

    Table  2.   The correlation between building indicators on the 500 m grid in 1960, 1990 and 2017


    建筑指标
    建筑高度 最高高度 建筑高度离散度 算数高度
    1960 1990 2017 1960 1990 2017 1960 1990 2017 1960 1990 2017
    建筑密度 0.23** 0.30** -0.03 0.51** 0.45** 0.28** 0.36** 0.27** 0.11** 0.40** 0.36** -0.08**
    建筑高度 0.69** 0.75** 0.60** 0.85** 0.89** 0.62** 0.92** 0.80** 0.87**
    最高高度 0.85** 0.77** 0.84** 0.71** 0.58** 0.33**
    建筑高度离散度 0.84** 0.82** 0.32**
    注:**表示在0.01水平(双侧)上显著相关,*表示在0.05水平(双侧)上显著相关.
    下载: 导出CSV
  • [1] SHIOD N. 3D urban models: recent developments in the digital modelling of urban environments in three-dimensions[J]. GeoJournal, 2000, 52(3): 263-269. doi: 10.1023/A:1014276309416
    [2] ISODA Y, TSUKAMOTO A, KOSAKA Y, et al. Reconstruction of Kyoto of the Edo era based on arts and histori-cal documents: 3D urban model based on historical GIS data[J]. International Journal of Humanities and Arts Computing, 2009, 3(1/2): 21-38. http://www.zhangqiaokeyan.com/academic-journal-foreign_other_thesis/020411332249.html
    [3] KOSHAK N A, GROSS M D. 3D modelling of historic Makkah[C]//Proceedings of the 3rd Conference on Computer Aided Architectural Design Research in Asia. Osaka, Japan: Osaka University, 1998: 103-112.
    [4] 田峰, 李虎. 联合星载光学与SAR图像的城市大面积建筑物高度快速提取[J]. 测绘学报, 2017, 46(7): 891-899. https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201707013.htm

    TIAN F, LI H. Fusion of spaceborne optical and SAR images for building height quick extraction in big urban areas[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(7): 891-899. https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201707013.htm
    [5] LIU M, YUAN M H, CHUN L L. Landscape metrics for three-dimensional urban building pattern recognition[J]. Applied Geography, 2017, 87: 66-72. doi: 10.1016/j.apgeog.2017.07.011
    [6] YONEZAWA G. 3D topographical analysis of Hanoi, Vietnam[J]. Japanese Journal of Southeast Asian Studies, 2009, 46(4): 519-531. http://www.ingentaconnect.com/content/ssam/00074861/2009/00000083/00000004/art00022
    [7] 乌敦, 阿拉腾图娅, 木希叶乐. 基于GIS的呼和浩特市近百年街道时空演变及其特征分析[J]. 地理科学, 2019, 39(6): 987-996. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201906014.htm

    WU D, ALA T T Y, MU X Y L. GIS-based spatial-temporal evolution and characteristics analysis of streets in Hohhot in the past century[J]. Scientia Geographica Sinica, 2019, 39(6): 987-996. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201906014.htm
    [8] REN C, YANG R, CHENG C, et al. Creating breathing cities by adopting urban ventilation assessment and wind corridor plan: the implementation in Chinese cities[J]. Journal of Wind Engineering and Industrial Aerodyna-mics, 2018, 182: 170-188. doi: 10.1016/j.jweia.2018.09.023
    [9] PETER D, NORBERT P. A comprehensive automated 3D approach for building extraction, reconstruction, and regularization from airborne laser scanning point clouds[J]. Sensors, 2008, 8(11): 7323-7343. doi: 10.3390/s8117323
    [10] PENG F, WONG M S, WAN Y, et al. Modeling of urban wind ventilation using high resolution airborne LiDAR data[J]. Computers, Environment and Urban Systems, 2017, 64: 81-90. doi: 10.1016/j.compenvurbsys.2017.01.003
    [11] WANG T, ZHANG G, LI D, et al. State key laboratory of information engineering in surveying, mapping and remote sensing, Wuhan University, Wuhan, China[J]. IEEE Geoence and Remote Sensing Letters, 2014, 11(6): 1168-1171. doi: 10.1109/LGRS.2013.2288918
    [12] 冯章献, 王士君, 金珊合, 等. 长春市城市形态及风环境对地表温度的影响[J]. 地理学报, 2019, 74(5): 902-911. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201905006.htm

    FENG Z H, WANG S J, JIN S H, et al. Influence of urban form and wind environment on surface temperature in Changchun City[J]. Acta Geographica Sinica, 2019, 74(5): 902-911. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201905006.htm
    [13] 卜心国, 王仰麟, 吴健生. 深圳快速城市化中地形对景观垂直格局的影响[J]. 地理学报, 2008, 63(1): 75-82. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB200801010.htm

    BU X G, WANG Y L, WU J S. The influence of terrain on vertical landscape pattern in Shenzhen's rapid urbanization[J]. Acta Geographica Sinica, 2008, 63(1): 75-82. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB200801010.htm
    [14] 臧传富, 卢欣晴. 城市绿地生态系统蒸散的研究进展[J]. 华南师范大学学报(自然科学版), 2020, 52(3): 1-9. doi: 10.6054/j.jscnun.2020036

    ZANG C F, LU X Q. Research progress on evapotranspiration of urban green space ecosystems[J]. Journal of South China Normal University(Natural Science Edition), 2020, 52(3): 1-9. doi: 10.6054/j.jscnun.2020036
    [15] 陈探, 刘淼, 胡远满, 等. 沈阳城市三维景观空间格局分异特征[J]. 生态学杂志, 2015, 34(9): 2621-2627. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201509032.htm

    CHEN T, LIU M, HU Y M, et al. Differentiation characteristics of spatial pattern of 3D landscape in Shenyang City[J]. Journal of Ecology, 2015, 34(9): 2621-2627. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201509032.htm
    [16] 葛珊珊. 基于Urban DEM的城市三维形态研究——以南京老城区为例[D]. 南京: 南京师范大学, 2009.

    GE S S. Three-dimensional urban morphology research based on Urban DEM: take the old urban area of Nanjing as an example[D]. Nanjing: Nanjing Normal University, 2009.
    [17] 史北祥, 杨俊宴. 基于GIS平台的大尺度空间形态分析方法——以特大城市中心区高度、密度和强度为例[J]. 国际城市规划, 2019, 34(2): 111-117. https://www.cnki.com.cn/Article/CJFDTOTAL-GWCG201902016.htm

    SHI B X, YANG J Y. Large-scale spatial morphological analysis method based on GIS platform: take the height, density and intensity of megacity central area as an example[J]. Urban Planning International, 2019, 34(2): 111-117. https://www.cnki.com.cn/Article/CJFDTOTAL-GWCG201902016.htm
    [18] GRAWE D, THOMPSON H L, SALMOND J A, et al. Modelling the impact of urbanization on regional climate in the Greater London area[J]. International Journal of Climatology, 2013, 33(10): 2388-2401. doi: 10.1002/joc.3589
    [19] ASHIE Y, KONO T. Urban-scale CFD analysis in support of a climate-sensitive design for the Tokyo Bay area[J]. International Journal of Climatology, 2011, 31(2): 174-188. doi: 10.1002/joc.2226
    [20] BARR J. Skyscraper height[J]. Journal of Real Estate Finance & Economics, 2012, 45(3): 723-753. doi: 10.1007/s11146-010-9274-z
    [21] SHI L, SHAO G, CUI S, et al. Urban three-dimensional expansion and its driving forces: a case study of Shanghai, China[J]. Chinese Geographical Science, 2009, 19(4): 291-298. doi: 10.1007/s11769-009-0291-x
    [22] RATTI C, DI SABATINO S, BRITTER R, et al. Analysis of 3D urban databases with respect to pollution dispersion for a number of European and American cities[J]. Water, Air and Soil Pollution: Focus, 2002, 2(5/6): 459-469. doi: 10.1023/A:1021380611553
    [23] 乔伟峰, 刘彦随, 王亚华, 等. 2000年以来南京城市三维空间扩展特征[J]. 地理研究, 2015, 34(4): 666-676. https://www.cnki.com.cn/Article/CJFDTOTAL-DLYJ201504007.htm

    QIAO W F, LIU Y S, WANG Y H, et al. The three-dimensional spatial expansion characteristics of Nanjing ci-ties since 2000[J]. Geographical Research, 2015, 34(4): 666-676. https://www.cnki.com.cn/Article/CJFDTOTAL-DLYJ201504007.htm
    [24] 张培峰, 胡远满. 不同空间尺度三维建筑景观变化[J]. 生态学杂志, 2013, 32(5): 1319-1325. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201305035.htm

    ZHANG P F, HU Y M. Three-dimensional architectural landscape changes at different spatial scales[J]. Journal of Ecology, 2013, 32(5): 1319-1325. https://www.cnki.com.cn/Article/CJFDTOTAL-STXZ201305035.htm
    [25] 杨俊, 国安东, 席建超, 等. 城市三维景观格局时空分异特征研究: 以大连市中山区为例[J]. 地理学报, 2017, 72(4): 646-656. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201704008.htm

    YANG J, GUO A D, XI J C, et al. Study on the spatial and temporal differentiation characteristics of urban three-dimensional landscape pattern: taking Zhongshan area in Dalian as an example[J]. Acta Geographica Sinica, 2017, 72(4): 646-656. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201704008.htm
    [26] 乔伟峰, 刘彦随, 王亚华, 等. 城市三维重心算法与实验分析: 以南京市为例[J]. 地球信息科学学报, 2017, 17(3): 268-273. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201503004.htm

    QIAO W F, LIU Y S, WANG Y H, et al. Urban 3D center of gravity algorithm and experimental analysis: taking Nanjing as an example[J]. Journal of Earth Information Science, 2017, 17(3): 268-273. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201503004.htm
    [27] 闫小培, 林彰平. 20世纪90年代中国城市发展空间差异变动分析[J]. 地理学报, 2004, 59(3): 437-445. doi: 10.3321/j.issn:0375-5444.2004.03.014

    YAN X P, LIN Z P. The change of spatial disparities of urban development in China, 1990s[J]. Acta Geographica Sinica, 2004, 59(3): 437-445. doi: 10.3321/j.issn:0375-5444.2004.03.014
    [28] TIAN G, WU J, YANG Z. Spatial pattern of urban functions in the Beijing metropolitan region[J]. Habitat International, 2010, 34(2): 249-255. doi: 10.1016/j.habitatint.2009.09.010
    [29] 黎夏, 叶嘉安. 约束性单元自动演化CA模型及可持续城市发展形态的模拟[J]. 地理学报, 1999, 54(4): 289-298. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB904.000.htm

    LI X, YE J A. Automated evolution CA model of constrained elements and simulation of sustainable urban development patterns[J]. Acta Geographica Sinica, 1999, 54(4): 289-298. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB904.000.htm
    [30] 孙斌栋, 刘倩倩, 张婷麟. 中国市域空间结构的特征及其影响因素[J]. 地理科学, 2018, 38(5): 672-680. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201805004.htm

    SUN B D, LIU Q Q, ZHANG T L. Characteristics and influencing factors of the spatial structure of Chinese cities[J]. Scientia Geographica Sinica, 2018, 38(5): 672-680. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201805004.htm
    [31] 魏立华, 丛艳国, 李志刚, 等. 20世纪90年代广州市从业人员的社会空间分异[J]. 地理学报, 2007, 62(4): 407-417. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB200704008.htm

    WEI L H, CONG Y G, LI Z G, et al. Social spatial differen-tiation of employees in Guangzhou in the 1990s[J]. Acta Geographica Sinica, 2007, 62(4): 407-417. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB200704008.htm
    [32] 杨忍. 广州市城郊典型乡村空间分化过程及机制[J]. 地理学报, 2019, 74(8): 1622-1636. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201908011.htm

    YANG R. Spatial differentiation process and mechanism of typical rural suburbs in Guangzhou[J]. Acta Geographica Sinica, 2019, 74(8): 1622-1636. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB201908011.htm
    [33] 何舒慧. 广州市主城区商业空间集聚特征研究[D]. 广州: 华南理工大学, 2019.

    HE S H. Research on the characteristics of commercial space agglomeration in the main urban area of Guangzhou[D]. Guangzhou: South China University of Technology, 2019.
    [34] 张平成. 基于多源数据的广州市主城区多中心空间格局解析[D]. 广州: 华南理工大学, 2017.

    ZHANG P C. Analysis of the multi-center spatial pattern of the main urban area of Guangzhou based on multi-source data[D]. Guangzhou: South China University of Technology, 2017.
    [35] 温锋华, 李立勋. 广州市商务办公空间区划及其功能分异研究[J]. 热带地理, 2010, 30(5): 528-533. doi: 10.3969/j.issn.1001-5221.2010.05.013

    WEN F H, LI L X. Research on the division and functional differentiation of commercial office space in Guangzhou[J]. Tropical Geography, 2010, 30(5): 528-533. doi: 10.3969/j.issn.1001-5221.2010.05.013
    [36] 周春山, 刘洋, 朱红. 转型时期广州市社会区分析[J]. 地理学报, 2006, 61(10): 1046-1056. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB200610005.htm

    ZHOU C S, LIU Y, ZHU H. Analysis of the social area of Guangzhou during the transition period[J]. Acta Geographica Sinica, 2006, 61(10): 1046-1056. https://www.cnki.com.cn/Article/CJFDTOTAL-DLXB200610005.htm
    [37] WEI L H, CONG Y G, LI Z G, et al. Socio-spatial diffe-rentiation of professionals of Guangzhou in the 1990s[J]. Acta Geographica Sinica, 2007, 62(4): 407-417. http://www.oalib.com/paper/1563018
    [38] 刘望保, 谢智豪. 位置服务大数据下广州市土地利用类型模拟探讨[J]. 华南师范大学学报(自然科学版), 2019, 51(1): 80-88. doi: 10.6054/j.jscnun.2019013

    LIU W B, XIE Z H. Inferring land use of Guangzhou from big data of location service[J]. Journal of South China Normal University (Natural Science Edition), 2019, 51(1): 80-88. doi: 10.6054/j.jscnun.2019013
    [39] 广州市统计局. 广州统计年鉴[Z/OL]. [2020-10-13]. http://112.94.72.17/portal/queryInfo/statisticsYearbook/index.
    [40] 广州市规划和自然资源局. 关于公布广州市2018年城镇国有建设用地标定地价成果的通告[EB/OL](2019-06-11)[2020-10-13]. http://ghzyj.gz.gov.cn/ywpd/tdgl/djxx/bddj/content/post_4936111.html.
    [41] GUTIÉRREZ E, MARTILLI A, SANTIAGO J, et al. A mechanical drag coefficient formulation and urban canopy parameter assimilation technique for complex urban environments[J]. Boundary Layer Meteorology, 2017, 157(2): 333-341. doi: 10.1007/s10546-015-0051-7
    [42] SHEKHAR S, HUANG Y. Discovering spatial co-location patterns: a summary of results[C]//Advances in Spatial land Temporal Databases. Berlin: Springer, 2001: 236-256.
    [43] 禹文豪, 艾廷华, 周启. 设施POI的局部空间同位模式挖掘及范围界定[J]. 地理与地理信息科学, 2015, 31(4): 6-11. https://www.cnki.com.cn/Article/CJFDTOTAL-DLGT201504002.htm

    YU W H, AI T H, ZHOU Q. Regional co-location pattern mining and scoping from urban facility POI[J]. Geography and Geo-Information Science, 2015, 31(4): 6-11. https://www.cnki.com.cn/Article/CJFDTOTAL-DLGT201504002.htm
  • 加载中
图(9) / 表(2)
计量
  • 文章访问数:  20
  • HTML全文浏览量:  19
  • PDF下载量:  9
  • 被引次数: 0
出版历程
  • 收稿日期:  2020-10-23
  • 网络出版日期:  2021-04-29
  • 刊出日期:  2021-04-25

目录

    /

    返回文章
    返回