Please wait a minute...
 Home  About the Journal Subscription Advertisement Contact us   英文  
 
Just Accepted  |  Current Issue  |  Archive  |  Featured Articles  |  Most Read  |  Most Download  |  Most Cited
Journal of Geographical Sciences    2019, Vol. 29 Issue (5) : 749-761     DOI: 10.1007/s11442-019-1625-y
|
Multi-dimensional expansion of urban space through the lens of land use: The case study of Nanjing City, China
QIAO Weifeng1,2,4(),GAO Junbo2,3,GUO Yuanzhi2,5,*(),JI Qingqing1,WU Ju1,CAO Min1,4
1. School of Geography, Nanjing Normal University, Nanjing 210023, China
2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
3. School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, Henan, China
4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
5. University of Chinese Academy of Sciences, Beijing 100049, China
Download: PDF(2136 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

The study of multi-dimensional expansion of urban space (MEUS) addresses the laws of urban spatial expansion from all directions and angles. Using Nanjing as an example, this paper constructs multi-temporal, urban three-dimensional models based on RS and GIS technology and then conducts qualitative and quantitative analysis of MEUS using plot ratio change maps and MEUS quantitative index for built-up areas. Based especially on the concept of volume growth contribution rate, this paper analyzes the characteristics of MEUS in different stages. The results show that in 2000-2004, planar expansion played the main role, the internal potential development (IPD) intensity of the urban built-up areas was relatively large, and the volume growth contribution rate was low; in 2004-2008, planar expansion accelerated, and IPD slowed down; in 2008-2012, planar expansion slowed while IPD intensity increased; the contribution rates of volume growth of urban IPD for the three periods were 22.21%, 24.51% and 73.38%, respectively. This study expands the research perspective of urban spatial expansion, and the adopted methods are instructive and meaningful for MEUS research. In addition, the results of this study will deepen the understanding of MEUS laws and help improve scientific decision-making for urban planning and urban land use management.

Keywords urban land use      plot ratio change map      multi-dimensional expansion      volume growth contribution rate      Nanjing     
Fund:National Natural Science Foundation of China, No.41871178, No.41671385, No.41371172
Corresponding Authors: GUO Yuanzhi     E-mail: qiaoweifeng@njnu.edu.cn;guoyz.16b@igsnrr.ac.cn
Issue Date: 19 April 2019
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
QIAO Weifeng
GAO Junbo
GUO Yuanzhi
JI Qingqing
WU Ju
CAO Min
Cite this article:   
QIAO Weifeng,GAO Junbo,GUO Yuanzhi, et al. Multi-dimensional expansion of urban space through the lens of land use: The case study of Nanjing City, China[J]. Journal of Geographical Sciences, 2019, 29(5): 749-761.
URL:  
http://www.geogsci.com/EN/10.1007/s11442-019-1625-y     OR     http://www.geogsci.com/EN/Y2019/V29/I5/749
Figure 1  Map of Nanjing, Jiangsu Province, China
Figure 2  Technical flowchart of urban spatial multi-dimensional expansion research
Figure 3  Staged variation maps of land use expansion and plot ratio change in Nanjing for 2000-2004 (a), 2004-2008 (b) and 2008-2012 (c)
Serial No. Index 2000-2004 2004-2008 2008-2012
(1) Area of the city at the beginning of the period (km2) 354.10 533.37 754.50
(2) Area of the city at the end of the period (km2) 533.37 754.50 960.08
(3) Urban planar expansion area (km2) 179.27 221.13 205.58
(4) Growth rate of urban planar area (%) 50.63 41.46 27.25
(5) Total urban volume at the beginning of the period (m3) 9.19×108 1.39×109 1.70×109
(6) Total urban volume at the end of the period (m3) 1.39×109 1.70×109 2.07×109
(7) Total volume at the end of the period within the urban planar scope at the end of the period (m3) 1.02×109 1.46×109 1.97×109
(8) Volume growth of urban IPD (m3) 1.04×108 7.59×107 2.72×108
(9) Volume growth of urban planar expansion (m3) 3.64×108 2.34×108 9.88×107
(10) Volume growth of IPD per unit area (m3/km2) 2.94×105 1.42×105 3.61×105
(11) Total amount of urban volume growth (m3) 4.69×108 3.10×108 3.71×108
(12) Growth rate of total urban volume (%) 50.97 22.32 21.87
(13) Contribution rate of volume growth of urban expansion (%) 77.79 75.49 26.62
(14) Contribution rate of volume growth of urban IPD (%) 22.21 24.51 73.38
Table 1  Volume growth contribution of two-dimensional and three-dimensional urban spatial expansion in Nanjing
[1] Anas A, 1976. Short-run dynamics in the spatial housing market. In: Papageorgiou G J (eds.). Mathematical Land Use Theory. Lexington: Lexington Books, 262-275.
[2] Chen J L, Gao J L, Yuan F, 2016a. Growth type and functional trajectories: An empirical study of urban expansion in Nanjing, China.PLoS ONE, 11(2): e0148389. doi: 10.1371/journal.pone.0148389.https://dx.plos.org/10.1371/journal.pone.0148389
doi: 10.1371/journal.pone.0148389 pmid: 26845155
[3] Chen J L, Gao J L, Yuan F et al., 2016b. Spatial determinants of urban land expansion in globalizing Nanjing, China.Sustainability, 8(9): 868. doi: 10.3390/su8090868.http://www.mdpi.com/2071-1050/8/9/868
doi: 10.3390/su8090868
[4] Cheng F, Thiel K H, 1995. Delimiting the building heights in a city from the shadow in a panchromatic SPOT-image: Part 1. Test of forty-two buildings.Remote Sensing, 16(3): 409-415. doi: 10.1080/01431 169508954409.https://www.tandfonline.com/doi/full/10.1080/01431169508954409
doi: 10.1080/01431169508954409
[5] Chi W F, Shi W J, Kuang W H, 2015. Spatio-temporal characteristics of intra-urban land cover in the cities of China and USA from 1978 to 2010. Journal of Geographical Sciences, 25(1): 3-18. doi: 10.1007/s11442-015- 1149-z.http://link.springer.com/10.1007/s11442-015-1149-z
doi: 10.1007/s11442-015-1149-z
[6] Gao X, Zhao D L, Zhang W, 2008. On the methods of obtaining the building height information from high-resolution remote sensing images.Bulletin of Surveying and Mapping, (3): 41-43. (in Chinese)
[7] Gruen A, 1998. TOBAGO: A semi-automated approach for the generation of 3D building models. ISPRS Journal of Photogrammetry & Remote Sensing, 53(2): 108-118. doi: 10.1016/S0924-2716(97)00034-8.
[8] Han X P, Xu J G, Fu X M, 2005. A study on estimating urban FAR based on high-resolution satellite images.Remote Sensing Information, (2): 24-28. (in Chinese)http://en.cnki.com.cn/Article_en/CJFDTOTAL-YGXX200502006.htm
[9] Kumar M, Tripathi D K, 2014. Spatial monitoring of urban growth of Nagpur City (India) using geospatial techniques.Journal of Settlements & Spatial Planning, 5(2): 91-98.
[10] Li F X, 2007. Research on urban expansion information tupu of Nanjing [D]. Nanjing: Nanjing University. (in Chinese)
[11] Li J Y, Zhang L, Wu B Fet al., 2007. Study on extracting building density and floor area ratio based on high resolution image. Remote Sensing Technology and Application, 22(3): 309-313. (in Chinese)http://en.cnki.com.cn/Article_en/CJFDTotal-YGJS200703001.htm
[12] Liu F, Zhang Z X, Shi L F et al., 2016. Urban expansion in China and its spatial-temporal differences over the past four decades. Journal of Geographical Sciences, 26(10): 1477-1496. doi: 10.1007/s11442-016-1339-3.http://link.springer.com/10.1007/s11442-016-1339-3
doi: 10.1007/s11442-016-1339-3
[13] Liu L F, Wang R J, Dong W P et al., 2009. A fast method extracting building height using high resolution satellite image.Remote Sensing Technology and Application, 24(5): 631-634. (in Chinese)http://en.cnki.com.cn/article_en/cjfdtotal-ygjs200905013.htm
[14] Liu M H, Chen Y G, 2001. Experimental methods of geographical researches: From modeling material objects to computer simulation. Journal of Xinyang Teachers College (Natural Science Edition), 24(1): 209-213. (in Chinese)http://en.cnki.com.cn/article_en/cjfdtotal-xysk200102030.htm
[15] Liu Y S, Fang F, Li Y H, 2014. Key issues of land use in China and implications for policy making.Land Use Policy, 40(4): 6-12.https://linkinghub.elsevier.com/retrieve/pii/S0264837713000598
doi: 10.1016/j.landusepol.2013.03.013
[16] Liu Y S, Li Y H, 2017. Revitalize the world’s countryside.Nature, 548(7667): 275-277.
doi: 10.1038/548275a
[17] Maimaiti B, Ding J L, Simayi Z, 2017. Characterizing urban expansion of Korla City and its spatial-temporal patterns using remote sensing and GIS methods.Journal of Arid Land, 9(3): 458-470.http://link.springer.com/10.1007/s40333-017-0099-y
doi: 10.1007/s40333-017-0099-y
[18] McIntosh K, Krupnik A, 2002. Integration of laser-derived DSMs and matched image edges for generating an accurate surface model.ISPRS Journal of Photogrammetry and Remote Sensing, 56(3): 167-176.http://linkinghub.elsevier.com/retrieve/pii/S0924271602000424
doi: 10.1016/S0924-2716(02)00042-4
[19] Qiao W F, 2013. Study on urban spatial multidimensional expansion of Nanjing based on land use perspective [D]. Nanjing: Nanjing Normal University. (in Chinese)
[20] Qiao W F, Liu Y S, Xiang L Z et al., 2015a. Research on extracting building height rapidly based on high-resolution remote sensing images without parameters.Journal of Geo-information Science, 17(8): 995-1000. (in Chinese)http://en.cnki.com.cn/Article_en/CJFDTotal-DQXX201508015.htm
doi: 10.3724/SP.J.1047.2015.00995
[21] Qiao W F, Wang Y H, Xiang L Z, 2015b. Hierarchical extraction of land use information based on knowledge and rule. Resources and Environment in the Yangtze Basin, 24(7): 1079-1085. (in Chinese)
[22] Quan B, Bai Y J, R?mkens M J M et al., 2015. Urban land expansion in Quanzhou city, China, 1995-2010.Habitat International, 48: 131-139. doi: 10.1016/j.habitatint.2015.03.021.https://linkinghub.elsevier.com/retrieve/pii/S0197397515000697
doi: 10.1016/j.habitatint.2015.03.021
[23] Seresht M S, Azizi A, 2000. Automatic building recognition from digital aerial images.International Archives of Photogrammetry and Remote Sensing, 33(B3/2; PART 3): 792-798.
[24] Shi L Y, Shao G F, Cui S Het al., 2009. Urban three-dimensional expansion and its driving forces: A case study of Shanghai, China. Chinese Geographical Science, 19(4): 291-298. doi: 10.1007/s11769-009-0291-x.http://link.springer.com/10.1007/s11769-009-0291-x
doi: 10.1007/s11769-009-0291-x
[25] Song X D, Liu P, Zhou Y X, 2006. Urban and rural area division: Taking Shanghai as an example.Acta Geographica Sinica, 61(8): 787-797. (in Chinese)
[26] Sun M, Ma A N, Chen J, 2002. Review on three-dimensional city model research. Journal of Remote Sensing, 6(2): 155-160.(in Chinese)http://en.cnki.com.cn/Article_en/CJFDTOTAL-YGXB200202013.htm
doi: 10.1023/A:1014761814254
[27] Tan Q L, 2010. Urban building extraction from VHR multi-spectral images using object-based classification.Acta Cartographica Sinica, 39(6): 618-623. (in Chinese)
[28] Triantakonstantis D, Stathakis D, 2015. Examining urban sprawl in Europe using spatial metrics.Geocarto International, 30(10): 1092-1112. doi: 10.1080/10106049.2015.1027289.http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1027289
doi: 10.1080/10106049.2015.1027289
[29] United Nations (UN), 2008. World Urbanization Prospects: The 2007 Revision. New York: United Nations, 3-4.
[30] Wang L, Li C C, Ying Q et al., 2012. China’s urban expansion from 1990 to 2010 determined with satellite remote sensing.Chinese Science Bulletin, 57(22): 2802-2812. doi: 10.1007/s11434-012-5235-7. (in Chinese)http://www.cqvip.com/QK/86894X/201222/42657378.html
doi: 10.1007/s11434-012-5235-7
[31] Wang J, Liu J, 2011. Dynamic of urban expansion in Lianyungang city based on the multi-time-phase remote sensing images: A case study of Xinpu District.Urban Geotechnical Investigation & Surveying, 1: 81-83. (in Chinese)http://en.cnki.com.cn/Article_en/CJFDTOTAL-CSKC201101026.htm
[32] Wang Q, Zhang Z X, Yi L et al., 2007. Research on urban expansion in Nanjing, China using RS and GIS.Resources and Environment in the Yangtze Basin, 16(5): 554-559. (in Chinese)
[33] Wang X S, Liu J Y, Zhuang D F et al., 2005. Spatial-temporal changes of urban spatial morphology in China.Acta Geographica Sinica, 60(3): 392-400. (in Chinese)
[34] Weidner U, F?rstner W, 1995. Towards automatic building extraction from high-resolution digital elevation models.ISPRS Journal of Photogrammetry and Remote Sensing, 50(4): 38-49.http://www.sciencedirect.com/science/article/pii/092427169598236S
doi: 10.1016/0924-2716(95)98236-S
[35] Wen Q K, Zhang Z X, Shi L F et al., 2016. Extraction of basic trends of urban expansion in China over past 40 years from satellite images.Chinese Geographical Science, 26(2): 129-142. doi: 10.1007/s11769-016-0796-z.http://link.springer.com/10.1007/s11769-016-0796-z
doi: 10.1007/s11769-016-0796-z
[36] Xu X L, Min X B, 2013. Quantifying spatiotemporal patterns of urban expansion in China using remote sensing data.Cities, 35: 104-113. doi: 10.1016/j.cities.2013.05.002.https://linkinghub.elsevier.com/retrieve/pii/S0264275113000565
doi: 10.1016/j.cities.2013.05.002
[37] Yang Y Y, Liu Y S, Li Y R et al., 2018. Quantifying spatio-temporal patterns of urban expansion in Beijing during 1985-2013 with rural-urban development transformation.Land Use Policy, 74(5): 220-230.https://linkinghub.elsevier.com/retrieve/pii/S0264837717301904
doi: 10.1016/j.landusepol.2017.07.004
[38] Yin F, Feng M, Zhong Fet al., 2010. Research of urban expansion in Siping city based on remote sensing and GIS.Journal of Geo-Information Science, 12(2): 242-247. (in Chinese)<![CDATA[http://pub.chinasciencejournal.com/article/getArticleRedirect.action?doiCode=10.3724/SP.J.1047.2010.00242]]>
doi: 10.3724/SP.J.1047.2010.00242
[39] Zha Y, 2011. A study on remote sensing methods in estimating urban build-up volume ratio based on aerial photographs.Progress in Geography, 20(4): 378-383. (in Chinese)http://en.cnki.com.cn/Article_en/CJFDTotal-DLKJ200104010.htm
doi: 10.3969/j.issn.1007-6301.2001.04.011
[40] Zhao S Q, Zhou D C, Zhu C et al., 2015. Spatial and temporal dimensions of urban expansion in China.Environmental Science & Technology, 49(16): 9600-9609. doi: 10.1021/acs.est.5b00065.http://pubs.acs.org/doi/abs/10.1021/acs.est.5b00065
doi: 10.1021/acs.est.5b00065 pmid: 26212783
[41] Zhao X F, Huang X J, Chen Y et al., 2010. Research progress in urban land intensive use.Journal of Natural Resources, 25(1): 1979-1996. (in Chinese)http://en.cnki.com.cn/article_en/cjfdtotal-zrzx201011017.htm
[42] Zhang Z X, Li N, Wang X A et al., 2016. Comparative study of urban expansion in Beijing, Tianjin and Tangshan from the 1970s to 2013.Remote Sensing, 8(6): 496. doi: 10.3390/rs8060496.http://www.mdpi.com/2072-4292/8/6/496
doi: 10.3390/rs8060496
[1] KUANG Wenhui,YANG Tianrong,YAN Fengqin. Examining urban land-cover characteristics and ecological regulation during the construction of Xiong’an New District, Hebei Province, China[J]. Journal of Geographical Sciences, 2018, 28(1): 109-123.
[2] Weiguo JIANG,Zheng CHEN,Xuan LEI,Kai JIA,Yongfeng WU. Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model[J]. Journal of Geographical Sciences, 2015, 25(7): 836-850.
[3] ZHAO Rongqin, HUANG Xianjin, LIU Ying, ZHONG Taiyang, DING Minglei, CHUAI Xiaowei. Urban carbon footprint and carbon cycle pressure:The case study of Nanjing[J]. , 2014, 24(1): 159-176.
[4] CAO Guangjie, WANG Jian, WANG Lingjun, LI Yanyan. Characteristics and runoff volume of the Yangtze River paleo-valley at Nanjing reach in the Last Glacial Maximum[J]. Journal of Geographical Sciences, 2010, 20(3): 431-440.
[5] ZHANG Yunlin, QIN Boqiang, CHEN Weimin. Analysis of solar radiation variations over Nanjing region in recent 40 years[J]. Journal of Geographical Sciences, 2003, 13(1): 97-104.
[6] HE Fanneng, GE Quansheng, ZHENG Jingyun. The urban land area Change in China from 1820 to 1999[J]. Journal of Geographical Sciences, 2002, 12(4): 427-434.
[7] LIU Shenghe, Sylvia Prieler, LI Xiubin. Spatial patterns of urban land use growth in Beijing[J]. Journal of Geographical Sciences, 2002, 12(3): 266-274.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
Copyright © Journal of Geographical Sciences, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd