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Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China

QIN Jing FANG Chuanglin WANG Yang LI Guangdong WANG Shaojian

QIN Jing, FANG Chuanglin, WANG Yang, LI Guangdong, WANG Shaojian. Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China[J]. 中国地理科学, 2015, 25(2): 224-236. doi: 10.1007/s11769-014-0728-8
引用本文: QIN Jing, FANG Chuanglin, WANG Yang, LI Guangdong, WANG Shaojian. Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China[J]. 中国地理科学, 2015, 25(2): 224-236. doi: 10.1007/s11769-014-0728-8
QIN Jing, FANG Chuanglin, WANG Yang, LI Guangdong, WANG Shaojian. Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China[J]. Chinese Geographical Science, 2015, 25(2): 224-236. doi: 10.1007/s11769-014-0728-8
Citation: QIN Jing, FANG Chuanglin, WANG Yang, LI Guangdong, WANG Shaojian. Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China[J]. Chinese Geographical Science, 2015, 25(2): 224-236. doi: 10.1007/s11769-014-0728-8

Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China

doi: 10.1007/s11769-014-0728-8
基金项目: Under the auspices of Major Project of National Social Science Foundation of China (No. 13&ZD13027), National Science & Technology Pillar Program During 12th Five-year Plan Period (No. 2012BAJ22B03-04), National Natural Science Foundation of China (No. 41401164)
详细信息
    通讯作者:

    FANG Chuanglin

Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China

Funds: Under the auspices of Major Project of National Social Science Foundation of China (No. 13&ZD13027), National Science & Technology Pillar Program During 12th Five-year Plan Period (No. 2012BAJ22B03-04), National Natural Science Foundation of China (No. 41401164)
More Information
    Corresponding author: FANG Chuanglin
  • 摘要: With rapid urban development in China in the last two decades, the three-dimensional (3D) characteristic has been the main feature of urban morphology. However, the vast majority of researches of urban growth have focused on the planar area (two-dimensional (2D)) expansion. Few studies have been conducted from a 3D perspective. In this paper, the 3D urban expansion of the Yangzhou City, Jiangsu Province, China from 2003 to 2012 was evaluated based on Geographical Information System (GIS) tools and high-resolution remote sensing images. Four indices, namely weighted average height of buildings, volume of buildings, 3D expansion intensity and 3D fractal dimension are used to quantify the 3D urban expansion. The weighted average height of buildings and the volume of buildings are used to illustrate the temporal change of the 3D urban morphology, while the other two indices are used to calculate the expansion intensity and the fractal dimension of the 3D urban morphology. The results show that the spatial distribution of the high-rise buildings in Yangzhou has significantly spread and the utilization of the 3D space of Yangzhou has become more efficient and intensive. The methods proposed in this paper laid a foundation for a wide range of study of 3D urban morphology changes.
  • [1] Bai Y Q, He G J, 2011. Application of region growing algorithm in extracting heights of buildings from high resolution satellite images. In: Image and Signal Processing (CISP), 2011 4th International Congress on. IEEE, 2: 879-882. doi: 10.1109/ CISP.2011.6100334
    [2] Batty M, Longley P, 1994. Fractal Cities: A Geometry of Form and Function. London: Academic Press.
    [3] Benguigui L, Czamanski D, Marinov M et al., 2000. When and where is a city fractal? Environment and Planning B: Planning and Design, 27(4): 507-519. doi: 10.1068/b2617
    [4] Cai B, Zhang Z, Liu B et al., 2007. Spatial-temporal changes of Tianjin urban spatial morphology from 1978 to 2004. Journal of Geographical Sciences, 17(4): 500-510. doi: 10.1007/ s11442-007-0500-4
    [5] Dare P M, 2005. Shadow analysis in high-resolution satellite imagery of urban areas. Photogrammetric Engineering and Remote Sensing, 71: 169-177.
    [6] Fan F, Wang Y, Qiu M et al., 2009. Evaluating the temporal and spatial urban expansion patterns of Guangzhou from 1979 to 2003 by remote sensing and GIS methods. International Journal of Geographical Information Science, 23(11): 1371-1388. doi:  10.1080/13658810802443432
    [7] Frankhauser P, 1998. The fractal approach. A new tool for the spatial analysis of urban agglomerations. Population: An English Selection, 10: 205-240.
    [8] Herold M, Goldstein N C, Clarke K C, 2003. The spatiotemporal form of urban growth: Measurement, analysis and modeling. Remote Sensing of Environment, 86(3): 286-302. doi: 10.1016/S0034-4257(03)00075-0
    [9] Hu Z L, Du P J, Guo D Z, 2007. Analysis of urban expansion and driving forces in Xuzhou city based on remote sensing. Journal of China University of Mining and Technology, 17(2): 267-271. doi: 10.1016/S1006-1266(07)60086-8
    [10] Huang J, Lu X, Sellers J M, 2007. A global comparative analysis of urban form: Applying spatial metrics and remote sensing. Landscape and Urban Planning, 82(4): 184-197. doi: 10. 1016/j.landurbplan.2007.02.010
    [11] Feng J, 2003. Spatial-temporal evolution of urban morphology and land use structure in Hangzhou. Acta Geographica Sinica, 58(3): 343-353. (in Chinese)
    [12] Liu S, Fan X, Wen Q et al., 2012. Simulated impacts of 3D urban morphology on urban transportation in megacities: Case study in Beijing. International Journal of Digital Earth, (ahead-of- print): 1-22. doi:  10.1080/17538947.2012.740079
    [13] Ma R, Gu C, Pu Y et al., 2008. Mining the urban sprawl pattern: A case study on Sunan, China. Sensors, 8(10): 6371-6395. doi:  10.3390/s8106371
    [14] Massalabi A, He D C, Benie G B et al., 2004. Detecting information under and from shadow in panchromatic Ikonos images of the city of Sherbrooke. In Geoscience and Remote Sensing Symposium, 2004. IGARSS'04. Proceedings. 2004 IEEE International, 3: 2000-2003. doi: 10.1109/IGARSS. 2004.1370740
    [15] Pan X Z, Zhao Q G, Chen J et al., 2008. Analyzing the variation of building density using high spatial resolution satellite images: The example of Shanghai City. Sensors, 8(4): 2541-2550. doi: 10.3390/s8042541
    [16] Pham H M, Yamaguchi Y, Bui T Q, 2011. A case study on the relation between city planning and urban growth using remote sensing and spatial metrics. Landscape and Urban Planning, 100: 223-230. doi: 10.3390/s8042541
    [17] Riitters K H, O'neill R, Hunsaker C et al., 1995. A factor analysis of landscape pattern and structure metrics. Landscape Ecology, 10(1): 23-39. doi: 10.1007/BF00158551
    [18] Rottensteiner F, 2003. Automatic generation of high-quality building models from lidar data. Computer Graphics and Applications, IEEE, 23(6): 42-50. doi: 10.1109/MCG.2003. 1242381
    [19] Rottensteiner F, Briese C, 2002. A new method for building extraction in urban areas from high-resolution LIDAR data. International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, 34: 295-301.
    [20] Seto K C, Fragkias M, Güneralp B et al., 2011. A meta-analysis of global urban land expansion. PlosOne, 6(8): e23777. doi: 10.1371/journal.pone.0023777
    [21] Shen G, 2002. Fractal dimension and fractal growth of urbanized areas. International Journal of Geographical Information Science, 16(5): 419-437. doi:  10.1080/13658810210137013
    [22] Shen J, Wong K, Feng Z, 2002. State-sponsored and spontaneous urbanization in the Pearl River Delta of south China, 1980-1998. Urban Geography, 23(7): 674-694. doi: 10.2747/ 0272-3638.23.7.674
    [23] Sun C, Wu Z F, Lv Z Q et al., 2013. Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 21: 409-417. doi:  10.1016/j.jag.2011.12.012
    [24] Sun P J, Song W, Xiu C L et al., 2013. Non-coordination in China's urbanization: Assessment and affecting factors. Chinese Geographical Science, 23(6): 729-739. doi: 10.1007/ s11769-013-0634-5
    [25] Tannier C, Pumain D, 2005. Fractals in urban geography: A theoretical outline and an empirical example. Cybergeo: European Journal of Geography. doi:  10.4000/cybergeo.3275
    [26] Wang Deli, Fang Chuanglin, Gao Boyang et al., 2011. Measurement and spatio-temporal distribution of urbanization development quality of urban agglomeration in China. Chinese Geographical Science, 21(6): 695-707. doi: 10.1007/s11769- 011-0477-x
    [27] Wang Y, Fang C L, Sheng C Y, 2013. Spatial differentiation and model evolution of housing prices in Yangzhou. Acta Geographic Sinica, 68(8): 1082-1096. (in Chinese)
    [28] Xiao J, Shen Y, Ge J et al., 2006. Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing. Landscape and Urban Planning, 75(1-2): 69-80. doi:  10.1016/j.landurbplan.2004.12.005
    [29] Yangzhou Statistical Bureau, 2013. Yangzhou Statistical Yearbook. Beijing: China Statistics Press.
    [30] Yoshida H, Omae M, 2005. An approach for analysis of urban morphology: Methods to derive morphological properties of city blocks by using an urban landscape model and their interpretations. Computers, Environment and Urban Systems, 29(2): 223-247. doi:  10.1109/IGARSS.2004.1370740
    [31] Yu B, Liu H, Wu J et al., 2010. Automated derivation of urban building density information using airborne LiDAR data and object-based method. Landscape and Urban Planning, 98(3-4): 210-219. doi:  10.1016/j.landurbplan.2010.08.004
    [32] Zhang L, Wu J, Zhen Y et al., 2004. A GIS-based gradient analysis of urban landscape pattern of Shanghai metropolitan area, China. Landscape and Urban Planning, 69(1): 1-16. doi:  10.1016/j.landurbplan.2003.08.006
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  • 收稿日期:  2013-10-09
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  • 刊出日期:  2015-01-27

Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China

doi: 10.1007/s11769-014-0728-8
    基金项目:  Under the auspices of Major Project of National Social Science Foundation of China (No. 13&ZD13027), National Science & Technology Pillar Program During 12th Five-year Plan Period (No. 2012BAJ22B03-04), National Natural Science Foundation of China (No. 41401164)
    通讯作者: FANG Chuanglin

摘要: With rapid urban development in China in the last two decades, the three-dimensional (3D) characteristic has been the main feature of urban morphology. However, the vast majority of researches of urban growth have focused on the planar area (two-dimensional (2D)) expansion. Few studies have been conducted from a 3D perspective. In this paper, the 3D urban expansion of the Yangzhou City, Jiangsu Province, China from 2003 to 2012 was evaluated based on Geographical Information System (GIS) tools and high-resolution remote sensing images. Four indices, namely weighted average height of buildings, volume of buildings, 3D expansion intensity and 3D fractal dimension are used to quantify the 3D urban expansion. The weighted average height of buildings and the volume of buildings are used to illustrate the temporal change of the 3D urban morphology, while the other two indices are used to calculate the expansion intensity and the fractal dimension of the 3D urban morphology. The results show that the spatial distribution of the high-rise buildings in Yangzhou has significantly spread and the utilization of the 3D space of Yangzhou has become more efficient and intensive. The methods proposed in this paper laid a foundation for a wide range of study of 3D urban morphology changes.

English Abstract

QIN Jing, FANG Chuanglin, WANG Yang, LI Guangdong, WANG Shaojian. Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China[J]. 中国地理科学, 2015, 25(2): 224-236. doi: 10.1007/s11769-014-0728-8
引用本文: QIN Jing, FANG Chuanglin, WANG Yang, LI Guangdong, WANG Shaojian. Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China[J]. 中国地理科学, 2015, 25(2): 224-236. doi: 10.1007/s11769-014-0728-8
QIN Jing, FANG Chuanglin, WANG Yang, LI Guangdong, WANG Shaojian. Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China[J]. Chinese Geographical Science, 2015, 25(2): 224-236. doi: 10.1007/s11769-014-0728-8
Citation: QIN Jing, FANG Chuanglin, WANG Yang, LI Guangdong, WANG Shaojian. Evaluation of Three-dimensional Urban Expansion: A Case Study of Yangzhou City, Jiangsu Province, China[J]. Chinese Geographical Science, 2015, 25(2): 224-236. doi: 10.1007/s11769-014-0728-8
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