Please wait a minute...
img

Wechat

Remote Sensing Technology and Application  2020, Vol. 35 Issue (5): 1079-1088    DOI: 10.11873/j.issn.1004-0323.2020.5.1079
    
Download:  HTML  PDF (3904KB) 
Export:  BibTeX | EndNote (RIS)      
Received:  09 July 2019      Published:  26 November 2020
ZTFLH:  TP79  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors

Cite this article: 

. . Remote Sensing Technology and Application, 2020, 35(5): 1079-1088.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2020.5.1079     OR     http://www.rsta.ac.cn/EN/Y2020/V35/I5/1079

ID变量类型数量(条、个)特征描述
1主干道路Line13主干道路
2铁路Line8铁路
3地铁站Point54地铁站
4火车站Point5南京站、南京南、南京西、仙林站、南京龙潭
5汽车站Point10汽车站
6桥梁隧道Point296桥梁、隧道
7政府机构Point744各种政府机构、工商、地税、办事处等驻地
8公共设施Point1 166公园、公共绿地、公共厕所
9宾馆酒店Point1 268各类宾馆、酒店、招待所
10餐饮Point3 611各类餐饮店
11交通服务设施Point7 514停车场、出租车站、公交车站、加油站、收费站
12学校Point1 321小学、中学、大学
13银行Point2 116各类银行
14医疗Point1 796医院、诊所、药店
15商业大厦Point447各类商业大厦(办公、商用场所)
16超市商城Point4 206超市、商城、便利店
17公司工厂Point4 597各种公司和各类工厂驻地
18公寓小区Point1 972居住类的公寓小区
19生活服务设施Point1 879理发店、修理店、干洗店等
20运动休闲设施Point1 450运动场、KTV、影城、网咖、洗浴等
Table 1  Description of spatial variables and their feature type and number
Fig.1  Land use classification map in Nanjing city from 2004 to 2016
Fig.2  Research area
Fig.3  The distribution of urban utilization rate (PB)
Fig.4  Moran’s I of the spatial distribution of urban utilization rate (PB) at five spatial scales
变量类型描述100 m×100 m200 m×200 m300 m×300 m400 m×400 m500 m×500 m
Dens_POP密度人口密度0.290.380.450.490.52
Dens_GDP密度GDP密度0.320.420.490.540.57
Dens_RD密度道路密度0.300.430.530.610.66
Dist_ZGDL邻近到主干道路的距离-0.16-0.20-0.23-0.24-0.26
Dist_TL邻近到铁路的距离-0.21-0.25-0.26-0.29-0.31
Dist_DTZ邻近到地铁站的距离-0.27-0.35-0.40-0.43-0.45
Dist_HCZ邻近到火车站的距离-0.27-0.35-0.40-0.43-0.46
Dist_QCZ邻近到汽车站的距离-0.26-0.33-0.39-0.41-0.44
Dist_QLSD邻近到桥梁隧道的距离-0.15-0.19-0.21-0.23-0.23
Dist_ZFJG邻近到政府机构的距离-0.33-0.41-0.47-0.49-0.52
Dist_GGSS邻近到公共设施的距离-0.25-0.31-0.36-0.38-0.40
Dist_BGJD邻近到宾馆酒店的距离-0.30-0.37-0.43-0.45-0.48
Dist_CY邻近到餐饮的距离-0.31-0.38-0.43-0.46-0.48
Dist_JTFWSS邻近到交通服务设施的距离-0.29-0.36-0.40-0.42-0.44
Dist_XX邻近到学校的距离-0.25-0.31-0.36-0.39-0.40
Dist_YH邻近到银行的距离-0.35-0.43-0.49-0.52-0.54
Dist_YL邻近到医疗的距离-0.25-0.32-0.35-0.38-0.39
Dist_SYDS邻近到商业大厦的距离-0.27-0.34-0.39-0.42-0.44
Dist_CSSC邻近到超市商城的距离-0.30-0.39-0.44-0.47-0.49
Dist_GSGC邻近到公司工厂的距离-0.26-0.33-0.37-0.40-0.41
Dist_GYXQ邻近到公寓小区的距离-0.30-0.37-0.42-0.45-0.47
Dist_SHFWSS邻近到生活服务设施的距离-0.34-0.43-0.49-0.51-0.54
Dist_YDXXSS邻近到运动休闲设施的距离-0.32-0.40-0.45-0.48-0.51
Table 2  The correlation coefficients between PB and the independent variables at five spatial scales

参数

尺度

R2AICLIKSC
OLSSLMSEMOLSSLMSEMOLSSLMSEMOLSSLMSEM
100*1000.190.350.35431742614426280-21566-13050-13119433752635526480
200*2000.330.430.42154371123211411-7698-5594-5684156131141511586
300*3000.440.530.52606036073806-3009-1782-1882622137763967
400*4000.510.600.602291681797-1124-319-377.2442839948
500*5000.590.670.66252-936-872-105490457395-785-729
Table 3  R2, AIC, LIK, and SC of OLS, SLM and SEM at different spatial scales
尺度100 m×100 m200 m×200 m300 m×300 m400 m×400 m500 m×500 m
变量OLSSLMSEMOLSSLMSEMOLSSLMSEMLSSLMSEMOLSSLMSEM
Dens_POPXX(+)XX(-)XX(+)XX(+)XX(-)XX(+)XX(+)XX(-)XX(+)XX(+)——XX(+)——XX(-)——
Dens_GDPXX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)
Dens_RDXX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)
Dist_DTZXX(-)X(-)X(-)X(-)——X(-)X(-)————X(-)——————————
Dist_HCZXX(-)X(-)——X(-)————————————————X(-)————
Dist_QCZXX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)X(+)X(+)
Dist_ZFJGXX(-)——X(-)————————————————————————
Dist_GGSSXX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)X(+)X(+)X(+)
Dist_BGJD——————————————————————————————
Dist_CYXX(+)XX(+)XX(+)XX(+)X(+)X(+)X(+)————————————————
Dist_JTFWSSXX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)X(+)X(+)X(+)————
Dist_XXXX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)XX(+)
Dist_YHXX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)X(-)XX(-)XX(-)————XX(-)————
Dist_YLXX(+)XX(+)XX(+)XX(+)——X(+)XX(+)XX(+)XX(+)XX(+)X(+)——XX(+)XX(+)XX(+)
Dist_SYDSXX(-)XX(-)XX(-)X(-)——X(-)——————X(+)————X(+)——X(-)
Dist_CSSCXX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)
Dist_GSGCXX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)
Dist_GYXQXX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)X(-)XX(-)
Dist_SHFWSSXX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)XX(-)
Dist_YDXXSS——————————————————————————————
Table 4  Indenpendent variables significant level in SLM and SEM at different spatial scales
Fig.5  Regression coefficients of spatial determinants for three models at different scales
1 He C F, Huang Z J, Wang R. Land Use Change and Economic Growth in Urban China: A Structural Equation Analysis [J]. Urban Studies, 2014, 51(13):2880-2898.doi:.
doi: 10.1177/0042098013513649
2 Chen J F, Chang K T, Karacsonyi D, et al. Comparing Urban Land Expansion and Its Driving Factors in Shenzhen and Dongguan China [J]. Habitat International, 2014, 43(3): 61-71.doi:.
doi: 10.1016/j.habitatint.2014.01.004
3 Xiao J Y, Shen Y J, Ge J F, et al. Evaluating Urban Expansion and Land Use Change in Shijiazhuang, China, by Using GIS and Remote Sensing[J]. Landscape and Urban Planning, 2004, 75(1): 69-80.doi:.
doi: 10.1016/j.landurbplan.2004.12.005
4 Zhou Guohua, He Yanhua. Characteristics and Influencing Factors of Urban Land Expansion in Changsha [J]. Acta Geographica Sinica, 2006, 61(11): 1171-1180.
4 周国华, 贺艳华. 长沙城市土地扩张特征及影响因素[J]. 地理学报,2006, 61(11):1171-1180.
5 Che Tong, Li Cheng, Luo Yunjian. Changes in Landscape Pattern of Built-up Land and Its Driving Factors during Urban Sprawl[J].Acta Ecologica Sinica, 2020, 40(10):3283-3294.
5 车通,李成,罗云建. 城市扩张过程中建设用地景观格局演变特征及其驱动力[J]. 生态学报,2020, 40(10):3283-3294.
6 Liu Rui, Zhu Daolin, Zhu Zhanqiang, et al. Analysis of the Driving Forces of Urban Sprawl in Dezhou City based on a Logistic Regression Model[J].Open Journal of Nature Science,2009,31(11):1919-1926.
6 刘瑞,朱道林,朱战强,等. 基于Logistic回归模型的德州市城市建设用地扩张驱动力分析[J].资源科学,2009,31(11):1919-1926.
7 Lin G C S. Reproducing Spaces of Chinese Urbanization: New City-based and Land-centred Urban Transformation [J]. Urban Studies, 2007, 44(9):1827-1855.doi:.
doi: 10.1080/00420980701426673
8 Lin, G C S. Scaling-up Regional Development in Globalizing China: Local Capital Accumulation, Land-centred Politics, and Reproduction of Space [J]. Regional Studies, 2009, 43(3):429-447.doi:.
doi: 10.1080/00343400802662625
9 Verburg P H, van Eck J R R, de Nijs T C M, et al. Determinants of Land-use Change Patterns in the Netherlands [J]. Environment & Planning B Planning & Design, 2004, 31(1):125-150.doi:.
doi: 10.1068/b307
10 Li Xiaoyong. Urban Land Use Change During 1980-2015 and Future Scenario Simulation in Beijing-Tianjin-Hebei Urban[J]. Economic Geography, 2019,39(3):187-194.
10 李孝永.京津冀1980~2015年城市土地利用变化时空轨迹及未来情景模拟[J].经济地理,2019,39(3):187-194.
11 Veldkamp A, Lambin E F. Predicting Land-use Change [J]. Agriculture Ecosystems & Environment, 2001, 85(1): 1-6.doi:.
doi: 10.1016/S0167-8809(01)00199-2
12 Kok K, Veldkamp A. Evaluating Impact of Spatial Scales on Land Use Pattern Analysis in Central America [J]. Agriculture, Ecosystems & Environment, 2001, 85(1): 205-221.doi:.
doi: 10.1016/S0167-8809(01)00185-2
13 Zeng C, Zhang M D, Cui J X, et al. Monitoring and Modeling Urban Expansion—A Spatially Explicit and Multi-scale Perspective [J]. Cities, 2015, 43: 92-103.doi:.
doi: 10.1016/j.cities.2014.11.009
14 Ning Xiuhong, Guo Long, Zhang Haitao. Comprehensive Degree of Land-use at Different Scales based on Spatial Autocorrelation Regression and Geographically Weighted Regression Models [J]. Journal of Huazhong Agricultural University, 2013, 32(4):48-54.
14 宁秀红,郭龙,张海涛. 基于空间自回归和地理加权回归模型的不同尺度下土地利用程度研究[J]. 华中农业大学学报,2013,32(4):48-54.
15 Chen Y B, Chang K T, Karacsonyi D, et al. Investigating Urbanization and Its Spatial Determinants in the Central Districts of Guangzhou, China [J]. Habitat International, 2016, 51: 59-69.doi:.
doi: 10.1016/j.habitatint.2015.10.013
16 Zhang Z, Su S, Xiao R, et al. Identifying Determinants of Urban Growth from A Multi-scale Perspective: A Case Study of the Urban Agglomeration around Hangzhou Bay, China [J].Applied Geography, 2013, 45(45): 193-202.doi:.
doi: 10.1016/j.apgeog.2013.09.013
17 Tan R, Liu Y, Liu Y, et al. Urban Growth and Its Determinants across the Wuhan Urban Agglomeration, Central China [J]. Habitat International, 2014, 44: 268-281.doi:.
doi: 10.1016/j.habitatint.2014.07.005
18 Bhatta B, Saraswati S, Bandyopadhyay D. Urban Sprawl Measurement from Remote Sensing Data[J]. Applied Geography,2013,30(4): 731-740.doi:.
doi: 10.1016/j.apgeog.2010. 02.002
19 Zhou Y X, Ma L J C. Economic Restructuring and Suburbanization in China [J]. Urban Geography, 2000, 21(3): 205-236.doi:.
doi: 10.2747/0272-3638.21.3.205
20 Zhu Q. Master Plan, Plan Adjustment and Urban Development Reality under China’s Market Transition: A Case Study of Nanjing[J]. Cities, 2013, 30: 77–88.doi:.
doi: 10.1016/j.cities. 2011.12.010
21 Chen J L, Gao J L, Yuan F, et al. Spatial Determinants of Urban Land Expansion in Globalizing Nanjing, China [J]. Sustainability, 2016, 8(9): 868-868.doi:.
doi: 10.3390/su8090868
22 Gao Jinlong, Chen Jianglong, Yuan Feng, et al. Patterns, Functions and Underlying Mechanisms of Urban Land Expansion in Nanjing[J]. Geographical Research, 2014,33(10):1892-1907.
22 高金龙,陈江龙,袁丰,等.南京市区建设用地扩张模式、功能演化与机理[J].地理研究, 2014,33(10):1892-1907.
23 Qiao Weifeng, Mao Guangxiong, Wang Ya, et al. Research on Urban Expansion and Land Use Change in Nanjing over the Past 32 Years[J]. Geo-Information Science,2016,18(2): 200-209.
23 乔伟峰,毛广雄,王亚,等.近32 a来南京城市扩展与土地利用演变研究[J]. 地球信息科学学报,2016,18(2):200-209.
24 Qiao Weifeng, Liu Yansui,Wang Yahua, et al.The Relationship of Evolution between Urban Land Use Types and Intensity in Nanjing since the Early [J]. Acta Geographica Sinica, 2015,70(11): 1800-1810.
24 乔伟峰,刘彦随,王亚华,等.21世纪初期南京城市用地类型与用地强度演变关系[J].地理学报,2015,70(11):1800-1810.
25 Xu Hailong, Yin Haiwei, Kong Fanhua, et al. Urban Sprawl Simulation based on the Loose Coupling between Potential-limitation and SLEUTH Model in Nanjing City[J]. Geographical Research, 2017, 36(3):529-540.
25 徐海龙,尹海伟,孔繁花,等. 基于潜力—约束和SLEUTH模型松散耦合的南京城市扩展模拟[J].地理研究,2017,36(3):529-540.
No Suggested Reading articles found!