Spatial Patterns of Distinct Urban Growth Forms in Relation to Roads and Pregrowth Urban Areas: Case of the Nanjing Metropolitan Region in China
Publication: Journal of Urban Planning and Development
Volume 141, Issue 1
Abstract
Urban growth can present distinct geometric forms, the patterns and determinants of which remain little understood. The aim of this study is to explore the spatial patterns of different urban growth forms (UGFs) in relation to roads and pregrowth urban areas (PUAs) in the Nanjing metropolitan region of China. Three basic UGFs—infilling, edge-expansion, and spontaneous growth—were distinguished using a topological quantitativecriterion. Results from the UGF composition showed the growth of Nanjing City, China, tended to be less compact during the accelerated urbanization. The three UGFs generally showed exponential attenuation with increasing distance to roads and PUAs, while spontaneous form showed a lognormal relationship with PUAs. Results from the logistic regression suggested that PUAs had a stronger tendency to attract infilling and edge-expansion growth than roads, whereas roads were a stronger attractor of spontaneous growth. Overall, this study can provide better understandings on the evolution of urban morphology at the landscape scale as well as useful implications for urban planning.An alert of exacerbated urban sprawl in Nanjing, China, was raised and the importance of road planning in the effort to control sprawl was highlighted.
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Acknowledgments
We would like to thank three anonymous reviewers for their valuable comments on an earlier version of this paper. This study was supported by the National Natural Science Foundation of China (41271197, 41101172and 31200530). C. Xu acknowledges the support from the China Scholarship Council.
References
Aguilera, F., Valenzuela, L. M., and Botequilha-Leitão, A. (2011). “Landscape metrics in the analysis of urban land use patterns: A case study in a Spanish metropolitan area.” Landscape Urban Plann., 99(3–4), 226–238.
ArcGIS 9.2 [Computer software]. Redlands, CA, ESRI.
Batty, M., Longley, P., and Fotheringham, S. (1989). “Urban growth and form: Scaling, fractal geometry and diffusion-limited aggregation.” Environ. Plann. A, 21(11), 1447–1472.
Cabral, P., Santos, J. A., and Augusto, G. (2010). “Monitoring urban sprawl and the national ecological reserve in Sintra-Cascais, Portugal: Multiple OLS linear regression model evaluation.” J. Urban Plann. Dev., 346–353.
Camagni, R., Gibelli, M. C., and Rigamonti, P. (2002). “Urban mobility and urban form: The social and environmental costs of different patterns of urban expansion.” Ecol. Econ., 40(2), 199–216.
Du, J., and Wang, Q. (2011). “Exploring reciprocal influence between individual shopping travel and urban form: Agent-based modeling approach.” J. Urban Plann. Dev., 390–401.
ENVI 4.7 [Computer software]. McLean, VA, Exelis.
Feng, L., and Li, H. (2012). “Spatial pattern analysis of urban sprawl: Case study of Jiangning, Nanjing, China.” J. Urban Plann. Dev., 263–269.
Grimm, N. B., et al. (2008). “Global change and the ecology of cities.” Science, 319(5864), 756–760.
Han, J., Hayashi, Y., Cao, X., and Imura, H. (2009). “Evaluating land-use change in rapidly urbanizing China: Case study of Shanghai.” J. Urban Plann. Dev., 166–171.
Johnson, M. P. (2001). “Environmental impacts of urban sprawl: A survey of the literature and proposed research agenda.” Environ. Plan. A, 33(4), 717–735.
Li, C., Li, J., and Wu, J. (2013). “Quantifying the speed, growth modes, and landscape pattern changes of urbanization: A hierarchical patch dynamics approach.” Landsc. Ecol., 28(10), 1875–1888.
Liu, X., Li, X., Chen, Y., Tan, Z., Li, S., and Ai, B. (2010). “A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data.” Landscape Ecol., 25(5), 671–682.
Luo, J., and Wei, Y. H. D. (2009). “Modeling spatial variations of urban growth patterns in Chinese cities: The case of Nanjing.” Landscape Urban Plann., 91(2), 51–64.
Lv, Z. Q., Wu, Z. F., Wei, J. B., Sun, C., Zhou, Q. G., and Zhang, J. H. (2011). “Monitoring of the urban sprawl using geoprocessing tools in the Shenzhen Municipality, China.” Environ. Earth Sci., 62(6), 1131–1141.
Nanjing Statistical Bureau. (2010). Statistical year book of Nanjing 2010, China Statistics Press, Beijing.
Pontius, R. G., and Schneider, L. C. (2001). “Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA.” Agr. Ecosys. Environ., 85(1–3), 239–248.
R 2.14.1 [Computer software]. Vienna, Austria, R Foundation for Statistical Computing.
Seto, K. C., Güneralp, B., and Hutyra, L. R. (2012). “Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools.” Proc. Natl. Acad. Sci., 109(40), 16083–16088.
Shi, Y., Sun, X., Zhu, X., Li, Y., and Mei, L. (2012). “Characterizing growth types and analyzing growth density distribution in response to urban growth patterns in peri-urban areas of Lianyungang City.” Landscape Urban Plann., 105(4), 425–433.
Silva, E. A., and Clarke, K. C. (2002). “Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal.” Comput. Environ. Urban Syst., 26(6), 525–552.
Sun, C., Wu, Z. F., Lv, Z. Q., Yao, N., and Wei, J. B. (2013). “Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data.” Int. J. Appl. Earth Obs., 21, 409–417.
Theobald, D. M. (2005). “Landscape patterns of exurban growth in the USA from 1980 to 2020.” Ecol. Soc., 10(1), 32.
United Nations. (2007). “World urbanization prospects: The 2007 revision population database.” 〈http://esa.un.org/unup〉 (Aug. 23, 2012).
Verburg, P. H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V., and Mastura, S. S. A. (2002). “Modeling the spatial dynamics of regional land use: The CLUE-S model.” Environ. Manage., 30(3), 391–405.
Vermote, E., Tanre, D., Deuze, J. L., Herman, M., and Morcrette, J. J. (1997). “Second simulation of the satellite signal in the solar spectrum: An overview.” IEEE. Trans. Geosci. Rem. Sens., 35(3), 675–686.
Wilson, E. H., Hurd, J., and Civco, D. (2002). “Development of a model to quantify and map urban growth.” The American Congress on Surveying and Mapping (ACSM), the American Society for Photogrammetry and Remote Sensing (ASPRS) Annual Conf. and Int. Federation of Surveyors XXII Congr., Washington, DC.
Wu, J., Jenerette, G. D., Buyantuyev, A., and Redman, C. L. (2011). “Quantifying spatiotemporal patterns of urbanization: The case of the two fastest growing metropolitan regions in the United States.” Ecol. Complex., 8(1), 1–8.
Xu, C., Liu, M., Hong, C., Chi, T., An, S., and Yang, X. (2012). “Temporal variation of characteristic scales in urban landscapes: An insight into the evolving internal structures of China’s two largest cities.” Landscape Ecol., 27(7), 1063–1074.
Xu, C., Liu, M., Yang, X., Sheng, S., Zhang, M., and Huang, Z. (2010). “Detecting the spatial differentiation in settlement change rates during rapid urbanization in the Nanjing metropolitan region, China.” Environ. Monit. Assess., 171(1–4), 457–470.
Xu, C., Liu, M., Zhang, C., An, S., Chen, J., and Yu, W. (2007). “The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China.” Landscape Ecol., 22(6), 925–937.
Yue, W., Liu, Y., and Fan, P. (2013). “Measuring urban sprawl and its drivers in large Chinese cities: The case of Hangzhou.” Land Use Pol., 31, 358–370.
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Published In
Journal of Urban Planning and Development
Volume 141 • Issue 1 • March 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Aug 28, 2012
Accepted: Jan 27, 2014
Published online: Mar 3, 2014
Discussion open until: Aug 3, 2014
Published in print: Mar 1, 2015
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