Abstract
With the accelerating process of urbanization in China, the demand for urban land is increasing rapidly; the finiteness of land resources determines that urban land use must take the road of intensive utilization. This paper selected 10 cities in Shaanxi Province as the research object, by establishing an urban land intensive use evaluation index system, which included four aspects of the land’s economic benefits,the investment intensity, the utilization intensity and the degree of sustainable, by the principal component analysis method and the statistical software SPSS, it studied the status of the urban land intensive use and spatial differences of 10 cities in Shaanxi province by the software SUPERMAP. Results show that the degree of the land intensive use of 10 cities in Shaanxi province is quite different, Guanzhong area shows higher, the northern Shaanxi is the second and the Southern Shaanxi is the lowest; the urban land intensive use degree in Shaanxi province is correlated with the level of economic development and location. Base on these, policy implications are derived that the city government should increase the land investment intensity, improve the economic benefits of land and land use intensity, speed up the economic development, improve the level of the urban land intensive use.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Zhou, F., Chen, S., Zhong, L., Wu, X.: Evaluation of Urban Land Intensive Use Based on Factor Analysis- A Case Study of Qing Yuan City. Resources and Industry 5(11), 56–59 (2009)
Zhai, W., Huang, X., Zhang, Q., Zhong, T., Ma, Q.: Research on the Urban Development Zone Land Intensive Use Based on AHP—A Case Study of Jiangsu Province. Journal of Nanjing University 1(1), 78–84 (2006)
Luo, X., He, H., Ke, X.: The Urban Land Intensive Utilization Evaluation Based on Analytic Hierarchy Process- A Case Study of Zhongxiang city of Hubei province. Journal of Anhui Agricultural Sciences 37(36), 18114–18116 (2009)
Xu, S., Zhu, H., Zhou, S., Zeng, Y.: Research of Urban Land Intensive Utilization—A Case Study of Leiyang City. Hubei Agriculture Science 50(18), 3885–3888 (2011)
Introduction of the Shaanxi Province, http://baike.baidu.com/view/6510.htm
Yang, S.: Construction of Urban Land Intensive Utilization Evaluation Index System and Its Connotation. Exploration of Economic Problems (1), 29 (2007)
Cha, Z.: Construction of Urban Land Intensive Utilization Capability Evaluation Index System. Zhejiang Statistics (4), 9–11 (2002)
Li, M., Jiang, H.: Study of Intensive Land Use Theory and Policy. Chinese Science 22(2), 55–61 (2008)
Zhou, S.: Learning of land evaluation, vol. 283. Southeast University Press, Nanjing (2006)
Bi, B.: Land Economics. Renmin University of China Press, Beijing (1991)
Zhang, M., Zhou, J., Li, X.: Evaluation of Urban Land Intensive Use—A Case Study of Zhengzhou City. Anhui Agricultural Science 36(35), 15609–15611 (2008)
Luo, X., Zhou, Y., Nie, Y.: Evaluation of Wuhan Urban Land Intensive Use. Anhui Agricultural Science 35(31), 10040–10042 (2007)
Li, Y., Zhou, Y.: Principal Componment Analysis of the Spatial Differences of Urban Land Intensive Use in Jiangsu Province. Journal of Hunan Institute of Engineering 16(2), 25–27 (2006)
Li, Y., Zhou, Y., Wu, L., Jin, X., Wang, L., Hu, J.: Spatial Differences of Urban Land Intensive Use—A Case Study of Jiangsu Province. Journal of Nanjing University(Natural Science) 42(3), 310–315 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhao, M., Li, Q., Feng, J., Chen, L., Li, H. (2013). Evaluation of the Urban Land Intensive Use and It’s Regional Differences in Shaanxi Province Based on GIS. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-41908-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41907-2
Online ISBN: 978-3-642-41908-9
eBook Packages: Computer ScienceComputer Science (R0)