Research on Spatial Characteristics of Floor Area Ratio in Shenyang Based on Multi-Source Data

GUO Yiyang; LEI Guoping; ZHANG Luyang; LU Zhong

doi:10.13204/j.gyjzG21091804

Volume 52 Issue 8

Aug. 2022

Turn off MathJax

Article Contents

Article Navigation > INDUSTRIAL CONSTRUCTION > 2022 > 52(8): 71-77,15

GUO Yiyang, LEI Guoping, ZHANG Luyang, LU Zhong. Research on Spatial Characteristics of Floor Area Ratio in Shenyang Based on Multi-Source Data[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(8): 71-77,15. doi: 10.13204/j.gyjzG21091804

Citation:

GUO Yiyang, LEI Guoping, ZHANG Luyang, LU Zhong. Research on Spatial Characteristics of Floor Area Ratio in Shenyang Based on Multi-Source Data[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(8): 71-77,15. doi: 10.13204/j.gyjzG21091804

Citation:

PDF( 6915 KB)

Research on Spatial Characteristics of Floor Area Ratio in Shenyang Based on Multi-Source Data

doi: 10.13204/j.gyjzG21091804

1. Department of Land Resources Management, School of Humanities and Law, Northeastern University, Shenyang 110169, China;
2. School of Public Administration, Chongqing Technology and Business University, Chongqing 400067, China

Received Date: 2021-09-18
Available Online: 2022-12-01

Abstract

Abstract

Floor area ratio (FAR) is the core index to reflect the intensity of land development, which can be used as the measurement index of urban spatial structure and form. The spatial difference analysis of FAR is of great significance to the research on the influencing mechanism of urban related factors and the evaluation of urban planning effect. Most of the existing studies focus on the FAR of residential areas, which is difficult to analyze the whole city. In this paper, the FAR was obtained by combining the architectural vector data of Gaode map with the surveying and mapping data, and its spatial characteristics were analyzed in different scales combined with the land use information, including the overall spatial characteristics, spatial agglomeration characteristics and spatial structure characteristics. The results showed that the main functions of the city were residential and productive functions, and there was a lot of room for improvement in land use intensity of the study area; the spatial agglomeration of FAR street scale was shown as a single center structure; the spatial agglomeration of FAR in plot scale was represented by multi-center structure; the circle structure model was used to calculate the FAR of the circle in different places, different regions showed different laws, the urban expansion trend was obvious, and the public service and other supporting construction were insufficient; 13 urban centers in Shenyang were identified by kernel density method according to FAR of plot. The current multi-center structure could not meet the needs of residents’ life and urban development.
- floor area ratio,
- spatial agglomeration,
- space structure,
- circle structure,
- kernel density,
- Shenyang City

FullText(HTML)

References(35)

References

[1]	WEBBER M M. The urban place and the nonplace urban realm[M]. Philadelphia: University of Pennsylvania Press, 1964.
[2]	FOLEY D L. An approach to metropolitan spatial structure[M]. Philadelphia: University of pennsylvania Press, 1964.
[3]	BOURNE L S. Internal structure of the city: readings on urban form, growth, and policy[J]. Historian, 1982, 26(1): 1-18.
[4]	DING C,ZHAO X. Land market, land development and urban spatial structure in Beijing[J]. Land Use Policy, 2014, 40: 83-90.
[5]	MCMILLEN D P. Testing for monocentricity[M]. Malden: Blackwell Publishing, 2007.
[6]	BARR J,COHEN J P. The floor area ratio gradient: New York City, 1890—2009[J]. Regional Science and Urban Economics, 2014, 48: 110-119.
[7]	CAO G,SHI Q,TAO L. An integrated model of urban spatial structure: insights from the distribution of floor area ratio in a Chinese city[J]. Applied Geography, 2016, 75: 116-126.
[8]	王婵婵,丁和庚,吴群. 容积率对城市住宅用地交易价格影响的定量研究:以南京市为例[J]. 资源科学, 2009, 31(1): 123-129.
[9]	李丽华,郑新奇,象伟宁. 基于GIS的北京市建筑密度空间分布规律研究[J]. 中国人口·资源与环境, 2008, 101(1): 122-127.
[10]	张小虎,张珣,钟耳顺,等. 基于建筑物空间特征的北京市城市空间结构及其机制分析[J]. 地理研究, 2013, 32(11): 2055-2065.
[11]	鲍振洪,李朝奎. 城市建筑容积率研究进展[J]. 地理科学进展, 2010(4): 396-402.
[12]	李少英,吴志峰,李碧莹,等. 基于互联网房产数据的住宅容积率多尺度时空特征:以广州市为例[J]. 地理研究, 2016, 35(4): 770-780.
[13]	闫永涛,冯长春. 北京市城市土地利用强度空间结构研究[J]. 中国土地科学, 2009, 23(3): 37-43.
[14]	王浩锋,施苏,饶小军. 城市密度的空间分布逻辑:以深圳市为例[J]. 城市问题, 2015, 241(8): 22-32.
[15]	TSAI Y. Location-demand-based residential floor area ratio distribution method[J]. Urban Studies, 2013, 51: 2685-2702.
[16]	周军,谭泽芳. 交通承载力评估在密度分区及容积率测算中的方法研究及应用实践:以深圳为例[J]. 城市规划学刊, 2020, 255(1): 85-92.
[17]	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.
[18]	王翠平,王豪伟,郑渊茂. 城市建筑群三维空间布局评价与优化:以厦门岛滨海地带为例[J]. 生态学报, 2020(22): 1-11.
[19]	ZHANG X,CHEN Z,YUE Y, et al. Fusion of remote sensing and internet data to calculate urban floor area ratio[J]. Sustainability, 2019, 11. DOI: 10.3390/su11123382.
[20]	李雪铭,朱健亮,王勇. 居住小区容积率空间差异:以大连市为例[J]. 地理科学进展, 2015, 34(6): 687-695.
[21]	陈彦光. 基于Moran统计量的空间自相关理论发展和方法改进[J]. 地理研究, 2009, 28(6): 1449-1463.
[22]	ODLAND J. Spatial autocorrelation[M]. Thousand Oaks, California: Sage Publications, 1988.
[23]	FAN C,MYINT S. A Comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation[J]. Landscape and Urban Planning, 2014, 121(1): 117-128.
[24]	周敏,胡碧霞. 东北地区城市土地经济密度格局演变[J]. 城市问题, 2018(10): 62-68.
[25]	张春梅,张小林,徐海英,等. 基于空间自相关的区域经济极化结构演化研究:以江苏省为例[J]. 地理科学, 2018, 38(4): 557-563.
[26]	刘艳清,葛京凤,李灿,等. 基于空间自相关的城市住宅地价空间分异规律研究:以石家庄市城区为例[J]. 干旱区资源与环境, 2018, 32(12): 55-62.
[27]	刘敏,赵翠薇,施明辉. 贵州山区土地利用变化多尺度空间自相关分析[J]. 农业工程学报, 2012, 28(20): 239-246 , 300.
[28]	谷建立,张海涛,陈家赢,等. 基于DEM的县域土地利用空间自相关格局分析[J]. 农业工程学报, 2012, 28(23): 216-224.
[29]	曲艺,龙花楼. 城市土地利用隐性形态空间分异及其影响因素:以中国289个地级以上城市为例[J]. 经济地理, 2016, 36(10): 1-8.
[30]	匡文慧,张树文,张养贞,等. 长春百年城市土地利用空间结构演变特征研究[J]. 哈尔滨工业大学学报, 2009, 41(7): 176-179.
[31]	孙琦. 沈阳市空间结构发展及其优化研究[D]. 阜新:辽宁工程技术大学, 2017.
[32]	LEE B. "Edge" or "edgeless" cities? urban spatial structure in US metropolitan areas, 1980 to 2000[J]. Journal of Regional Science, 2007, 47: 479-515.
[33]	焦利民,李泽慧,许刚,等. 武汉市城市空间集聚要素的分布特征与模式[J]. 地理学报, 2017(8): 1432-1443.
[34]	湛东升,张文忠,张娟锋,等. 北京市公共服务设施集聚中心识别分析[J]. 地理研究, 2020, 39(3): 554-569.
[35]	王洋,杨忍,李强,等. 广州市银行业的空间布局特征与模式[J]. 地理科学, 2016, 36(5): 742-750.