城市轨道交通对土地利用变化的时空效应

doi:10.11821/dlxb201705007

Abstract

Abstract:

The study of the spatio-temporal effects of urban rail transit on land-use change is significant for the collaborative simulation of land use and urban rail transit. In this paper, high-resolution remote sensing images and POIs data were combined to acquire fine-scale land use information. A stepwise regression model and a land function classification method were used to investigate the spatial and temporal effects of urban rail transit on land-use change. The results indicated that low density residential land would be converted to high density residential land and commercial land under the influences of urban rail transit. The influences of rail transit on land use vary over its various stages, including planning, construction and operation. In the planning and operation stages, such influences are mostly found in suburban areas with better transport infrastructure, while in the construction stage, they are related to available areas for land development. The land function around the urban central stations has changed slightly due to the restriction of land, while the land function around the suburban stations has changed significantly. The transitions of land function will emerge when metro stations go into operation.

Key words: rail transit, complex land-use change, spatio-temporal effects, high-resolution remote sensing image, POI, Guangzhou City

Zhangzhi TAN, Shaoyin LI, Xia LI, Xiaoping LIU, Yimin CHEN, Weixian LI. Spatio-temporal effects of urban rail transit on complex land-use change[J].Acta Geographica Sinica, 2017, 72(5): 850-862.

Figures/Tables 12

Fig. 1

Tab. 1

Tab. 2

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Tab. 3

Tab. 4

Fig. 6

Tab. 5

Tab. 6

References 21

[1]	Jirón P.Sustainable Urban Mobility in Latin America and the Caribbean. Global Report on Human Settlements: Regional Report for Latin American and the Caribbean, 2013.
[2]	Guo Ji-fu, Liu Ying, Yu Liu.Traffic congestion in large metropolitan area in China. Urban Transport of China, 2011, 9(2): 8-14. doi: 10.3969/j.issn.1672-5328.2011.02.002
	[郭继孚, 刘莹, 余柳. 对中国大城市交通拥堵问题的认识. 城市交通, 2011, 9(2): 8-14.] doi: 10.3969/j.issn.1672-5328.2011.02.002
[3]	Nie Chong, Wen Haizhen, Fan Xiaofeng.The spacial and temporal effect on property value increment with the development of urban rapid rail transit: An empirical research. Geographical Research, 2010, 29(5): 801-810.
	[聂冲, 温海珍, 樊晓锋. 城市轨道交通对房地产增值的时空效应. 地理研究, 2010, 29(5): 801-810.]
[4]	Cervero R.B. Linking urban transport and land use in developing countries. Journal of Transport and Land Use, 2013, 6(1): 7-24. doi: 10.5198/jtlu.v6i1.425
[5]	Ratner K A, Goetz A R.The reshaping of land use and urban form in Denver through transit-oriented development. Cities, 2013, 30: 31-46 doi: 10.1016/j.cities.2012.08.007
[6]	Hurst N B.. Economics Honors Projects, 2011: 35.
[7]	Liu Baokui, Feng Changchun.Research of impacts of urban railway transportation on land use structrue based on GIS and information entropy. Urban Studies, 2009, 16(4): 149-155. doi: 10.3969/j.issn.1006-3862.2009.04.023
	[刘保奎, 冯长春. 城市轨道交通对站点周边土地利用结构的影响. 城市发展研究, 2009, 16(4): 149-155.] doi: 10.3969/j.issn.1006-3862.2009.04.023
[8]	He Donghua, Yuan Yuan.Analysis of the spatial characteristics of land-use led by ring rail line: A case study in Guangzhou. Modern Urban Research, 2010(9): 90-95. doi: 10.3969/j.issn.1009-6000.2010.09.015
	[何冬华, 袁媛. 轨道交通环线沿线的土地利用空间特征分析: 以广州市轨道交通11号环线为例. 现代城市研究, 2010(9): 90-95.] doi: 10.3969/j.issn.1009-6000.2010.09.015
[9]	Liu Shiqi, Guo Jing, Li Ruoxi, et al.Analysis of land use around typical rail transport stations in Beijing. Urban Development Studies, 2014, 21(4): 66-71. doi: 10.3969/j.issn.1006-3862.2014.04.011
	[刘诗奇, 郭静, 李若溪, 等. 北京轨道交通典型站点周边的土地利用特征分析. 城市发展研究, 2014, 21(4): 66-71.] doi: 10.3969/j.issn.1006-3862.2014.04.011
[10]	Bhattacharjee S, Goetz A R.The rail transit system and land use change in the Denver metro region. Journal of Transport Geography, 2016, 54: 440-450. doi: 10.1016/j.jtrangeo.2016.02.004
[11]	Sung H, Choi K, Lee S, et al.Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership. Journal of Transport Geography, 2014, 36: 134-140. doi: 10.1016/j.jtrangeo.2014.03.013
[12]	Li Deren, Yao Yuan, Shao Zhenfeng.Big data in smart city. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631-640. doi: 10.1007/s11432-015-5396-5
	[李德仁, 姚远, 邵振峰. 智慧城市中的大数据. 武汉大学学报(信息科学版), 2014, 39(6): 631-640.] doi: 10.1007/s11432-015-5396-5
[13]	Cao Yang, Zhen Feng.2015. The overall architecture of sustainable urban spatial development model based on the construction of smart cities. Progress in Geography, 2015, 34(4): 430-437. doi: 10.11820/dlkxjz.2015.04.004
	[曹阳, 甄峰. 基于智慧城市的可持续城市空间发展模型总体架构. 地理科学进展, 2015, 34(4): 430-437.] doi: 10.11820/dlkxjz.2015.04.004
[14]	Xu Zening, Gao Xiaolu.A novel method for identifying the boundary of urban built-up areas with POI data. Acta Geographica Sinica, 2016, 71(6): 928-939. doi: 10.11821/dlxb201606003
	[许泽宁, 高晓路. 基于电子地图兴趣点的城市建成区边界识别方法. 地理学报, 2016, 71(6): 928-939.] doi: 10.11821/dlxb201606003
[15]	Wu Chao, Ren Fu, Du Qingyun, et al.Classification method of POI data based on formal ontology theory. Geography and Geo-Information Science, 2014, 30(6): 13-16. doi: 10.3969/j.issn.1672-0504.2014.06.003
	[吴超, 任福, 杜清运, 等. 基于形式本体的POI数据分类方法. 地理与地理信息科学, 2014, 30(6): 13-16.] doi: 10.3969/j.issn.1672-0504.2014.06.003
[16]	Gong Peng, Li Xia, Xu Bin.Interpretation theory and application method development for information extraction from high resolution remotely sensed data. Journal of Remote Sensing, 2006, 10(1): 1-5. doi: 10.3321/j.issn:1007-4619.2006.01.001
	[宫鹏, 黎夏, 徐冰. 高分辨率影像解译理论与应用方法中的一些研究问题. 遥感学报, 2006, 10(1): 1-5.] doi: 10.3321/j.issn:1007-4619.2006.01.001
[17]	Duan Degang, Zhang Fan.Study on classification of urban rail transit stations from the perspective of land use optimization: A case study on Xi'an Subway Line 2. Planning Studies, 2013, 37(9): 39-45.
	[段德罡, 张凡. 土地利用优化视角下的城市轨道站点分类研究: 以西安地铁2号线为例. 城市规划, 2013, 37(9): 39-45.]
[18]	Wu Qianhong, Liu Qiong, Duan Xuegang.New exploration and calculation program research of land use structure indices. Geography and Geo-Information Science, 2015, 3(1): 110-114. doi: 10.3969/j.issn.1672-0504.2015.01.023
	[吴堑虹, 刘琼, 段雪刚. 土地利用结构指标新探及计算程序研究. 地理与地理信息科学, 2015, 3(1): 110-114.] doi: 10.3969/j.issn.1672-0504.2015.01.023
[19]	Feng Changchun, Li Weixuan, Zhao Fanfan.Influence of rail transit on nearby commodity housing prices: A case study of Beijing Subway Line Five. Acta Geographica Sinica, 2011, 66(8): 1055-1062. doi: 10.11821/xb201108005
	[冯长春, 李维瑄, 赵蕃蕃. 轨道交通对其沿线商品住宅价格的影响分析: 以北京地铁5号线为例. 地理学报, 2011, 66(8): 1055-1062.] doi: 10.11821/xb201108005
[20]	Gu Yizhen, Zheng Siqi.The impacts of rail transit on property values and land development intensity: The case of No. 13 Line in Beijing. Acta Geographica Sinica, 2010, 65(2): 213-223. doi: 10.11821/xb201002008
	[谷一桢, 郑思齐. 轨道交通对住宅价格和土地开发强度的影响: 以北京市13号线为例. 地理学报, 2010, 65(2): 213-223.] doi: 10.11821/xb201002008
[21]	Shan Zhuoran, Huang Yaping.Fallacy and planning strategies on land-use of rail transit site area. Economic Geography, 2013, 33(12): 154-160.
	[单卓然, 黄亚平. 轨道交通站点地区土地利用谬误及规划响应策略. 经济地理, 2013, 33(12): 154-160.]

线路	路段	建设时间	运营时间
二号线	三元里站—昌岗站	1998年7月	2003年6月
	嘉禾望岗站—三元里站	2007年8月	2010年9月
	昌岗站—广州南站	2007年8月	2010年9月
八号线	昌岗站—琶洲站	1998年7月	2003年6月
	琶洲站—万盛围站	2003年1月	2005年12月
	凤凰新村站—昌岗站	2007年8月	2010年11月

类别	用地分类	类别	用地分类
宾馆	B	金融	B
餐饮	B	汽车服务	B
道路	S	商务大厦	B
政府机构	A	生活服务	B
购物	B	休闲娱乐	B
交通设施	S	医疗	A
教育	A	公司企业
地产小区		厂矿	M
别墅	R1	殡葬	A
小区	R2	其他	B

变量	系数	t	Sig.
常数项	-0.02	-0.95	0.346
交通设施用地面积比例s	0.57	4.30	0.000
其他用地面积比例e	0.42	8.71	0.008
商业用地面积比例b	-0.39	-2.69	0.000
统计检验
R²	0.486
调整R²	0.471
F	32.76
Sig.	0.000
观测值	108

变量	规划阶段			建设阶段			运营阶段
变量	系数	t	Sig.	系数	t	Sig.	系数	t	Sig.
常数项	0.04	0.77	0.456	0.04	2.24	0.032	0.03	2.10	0.041
换乘站点h	-0.11	-2.87	0.002	-0.07	-2.49	0.018	0.04	2.35	0.023
其他用地面积比例e	0.41	3.69	0.000	0.50	9.73	0.000
交通设施用地面积比例s	1.02	7.46	0.036				0.64	11.37	0.000
到城市中心距离d	-0.02	-2.32	0.012
商业用地面积比例b							-0.24	-2.38	0.021
统计检验
R²	0.862			0.784			0.766
调整R²	0.823			0.763			0.751
F	21.87			38.61			53.35
Sig.	0.000			0.000			0.000
观测值	19			36			53

类型	确定标准
类型	用地特征	用地优势度指数	用地均匀度指数
居住型	居住用地面积比例≥ 50%	≥ 0.50	<0.75
商业型	商业用地面积比例≥ 15%	≥ 0.3	<0.9
产业型	工业用地面积比例≥ 20%	<0.5	≥ 0.75
混合型	各类用地比例均衡,没有明显的优势用地	<0.5	≥ 0.8
交通型	交通设施用地面积比例≥ 30%	≥ 0.4	<0.8
其他类型	非城市建设用地面积比例≥ 40%	≥ 0.6	<0.75

Spatio-temporal effects of urban rail transit on complex land-use change

RichHTML

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 12

References 21

Related Articles 15

Metrics

Comments

类型	类型没有发生改变的站点
类型	站点	说明
居住型	江南西、宝岗大道、昌岗、市二宫、晓港赤岗、江泰路、沙园凤凰新村	二类居住用地为主二、三类居住用地混合三类居住用地为主
商业型	公园前、海珠广场、客村、三元里、越秀公园
工业型	黄边、江夏、萧岗、东晓南、南洲、会江
混合型	飞翔公园、纪念堂、洛溪、黄浦广州火车站鹭江、中大	商住混合商住行混合商住学混合
交通型	无
其他类型	无
类型发生改变的站点
最终类型	站点	变化途径（2000年—2006年—2010年—2015年）	站点运营时间
居住型	嘉禾望岗万盛围	其他型—其他型—其他型—居住型其他型—其他型—居住型—居住型	2010年9月 2005年12月
商业型	白云公园白云文化广场磨碟沙琶洲新港东	交通型—其他型—商业型—商业型交通型—其他型—商业型—商业型其他型—商业型—商业型—商业型其他型—商业型—商业型—商业型其他型—其他型—商业型—商业型	2010年9月 2010年9月 2003年6月 2003年6月 2003年6月
交通型	广州南站石壁	其他型—其他型—交通型—交通型其他型—其他型—交通型—交通型	2010年9月 2010年9月

[1]	PENG Shiyao, CHEN Shaokuan, XU Qi, NIU Jiaqi. Spatial characteristics of land use based on POI and urban rail transit passenger flow [J]. Acta Geographica Sinica, 2021, 76(2): 459-470.
[2]	FENG Jian, ZHONG Yichun. The spatial structure of urban residents' quality of life in Changzhou based on residential environment [J]. Acta Geographica Sinica, 2020, 75(6): 1237-1255.
[3]	LU Dadao, LIU Yansui, FANG Chuanglin, CHEN Mingxing, WANG Jiaoe, XI Jianchao. Development and prospect of human-economic geography [J]. Acta Geographica Sinica, 2020, 75(12): 2570-2592.
[4]	TU Jianjun,TANG Siqi,ZHANG Qian,WU Yue,LUO Yunchao. Spatial heterogeneity of the effects of mountainous city patternon catering industry location [J]. Acta Geographica Sinica, 2019, 74(6): 1163-1177.
[5]	FAN Jie, WANG Yafei, LIANG Bo. The evolution process and regulation of China's regional development pattern [J]. Acta Geographica Sinica, 2019, 74(12): 2437-2454.
[6]	CHEN Miao,HU Xiaofei,WANG Wei. The cause of high-altitude knickpoints on river longitudinal profiles along the Zoulang Nan Shan [J]. Acta Geographica Sinica, 2018, 73(9): 1702-1713.
[7]	CHEN Yuchan,ZHANG Zhengdong,WAN Luwen,ZHANG Jie,YANG Chuanxun,YE Chen,LI Qingpu. Identifying risk areas and risk paths of non-point source pollution in Wuhua River Basin [J]. Acta Geographica Sinica, 2018, 73(9): 1765-1777.
[8]	SHEN Lifan,WANG Ye,ZHANG Chun,JIANG Dongrui,LI He. Relationship between built environment of rational pedestrian catchment areas and URT commuting ridership: Evidence from 44 URT stations in Beijing [J]. Acta Geographica Sinica, 2018, 73(12): 2423-2439.
[9]	BAO Weimin, SHEN Dandan, NI Peng, ZHOU Junwei, SUN Yiqun. Proposition and certification of moving mean difference method for detecting abrupt change points [J]. Acta Geographica Sinica, 2018, 73(11): 2075-2085.
[10]	LI Shuangshuang,LU Jiayu,YAN Junping,LIU Xianfeng,KONG Feng,WANG Juan. Spatiotemporal variability of temperature in northern and southern Qinling Mountains and its influence on climatic boundary [J]. Acta Geographica Sinica, 2018, 73(1): 13-24.
[11]	Jianli DING, Fei WANG. Environmental modeling of large-scale soil salinity information in an arid region: A case study of the low and middle altitude alluvial plain north and south of the Tianshan Mountains, Xinjiang [J]. Acta Geographica Sinica, 2017, 72(1): 64-78.
[12]	Jianbing ZHONG, Jing'an SHAO, Yuzhu YANG. Characteristics of non-point source pollution load of crop farming undergoing the background of livelihood diversification [J]. Acta Geographica Sinica, 2016, 71(7): 1201-1214.
[13]	Zening XU, Xiaolu GAO. A novel method for identifying the boundary of urban built-up areas with POI data [J]. Acta Geographica Sinica, 2016, 71(6): 928-939.
[14]	Zhenhua MA, Xiaomiao LI, Benhong GUO, Hao YU, Xiyan YE, Chunhui SONG, Jijun LI. Extraction and analysis of Maxianshan planation surfaces in northeastern margin of the Tibetan Plateau [J]. Acta Geographica Sinica, 2016, 71(3): 400-411.
[15]	Shili CHEN, Haiyan TAO, Xuliang LI, Li ZHUO. Discovering urban functional regions using latent semantic information: Spatiotemporal data mining of floating cars GPS data of Guangzhou [J]. Acta Geographica Sinica, 2016, 71(3): 471-483.