ABSTRACT Relative carrying capacity of resources is an index to measure sustainable development through carrying capacity. Case studies of eleven cities in Zhejiang (Hangzhou, Ningbo, Wenzhou, Jiaxing, Huzhou, Shaoxing, Jinhua, Quzhou, Zhoushan, Taizhou and Lishui) illustrated regional sustainable development approach. In this study, to provide insight into spatial and dynamic analysis of region sustainable development, we calculated the relative carrying capacity of land resources and economical resources and synthetical carrying capacity of resources in different cities in Zhejiang, and geographic information system was carried out. The results showed that all cities but Hangzhou and Ningbo were ecologically sustainable, and relative carrying capacity of land resources in northern and eastern Zhejiang was larger than those in southern and western Zhejiang. The sampling years of Wenzhou, Hangzhou and Ningbo contribution rates of land resource to synthetic carrying capacity were grouped into three stages, and there were two milestones trends and changes in 1996 and 2004, respectively. This study demonstrated that geographic information system and relative carrying capacity of resources are effective for assessment of region sustainable development, and provide policy guidelines for decision-making.
Cite this paper
nullQ. Wang, X. Wang, H. Tang, J. Li, H. Ma and T. Cheng, "Spatial and Dynamic Analysis of Regional Sustainable Development Using Geographic Information System and Relative Carrying Capacity of Resources," Natural Resources, Vol. 2 No. 1, 2011, pp. 28-34. doi: 10.4236/nr.2011.21005.
 Q. Wang, “Dynamics Analysis on the Relative Carrying Capac-ity of Resources of Wenzhou,” Proceeding Chinese Control Conference (2008CCC), IEEE Press, July 2008, pp. 738-742 (in Chinese).
 I. Muniz and A. Galindo, “Urban Form and the Ecological Footprint of Com-muting. The Case of Barcelona,” Ecological Economics, Vol. 55, No. 4, 2005, pp. 499-514. doi:10.1016/j.ecolecon.2004.12.008
 H. X. Nguyen and R. Yamamoto, “Modification of Ecological Footprint Evaluation Method to Include Non-Renewable Resource Consumption Using Thermodynamic Approach,” Resources Conservation and Recycling, Vol. 51, No. 4, 2007, pp. 870-884.
 M. Mundayand and A. Roberts, “Developing Approaches to Measuring and Moni-toring Sustainable Development in Wales: A Review,” Re-gional Studies, Vol. 40, No. 5, 2006, pp. 535-554.
 G. H. Huang, X. S. Qin, W. Sun, X. H. Nie and Y. P. Li, “An Optimisation-Based En-vironmental Decision Support System for Sustainable Devel-opment in a Rural Area in China,” Civil Engineering and Envi-ronmental Systems, Vol. 26, No. 1, 2009, pp. 65-83.
 N. Hanley, I. Moffatt, R. Faichney and M. Wilson, “Measuring Sustainability: A Time Series of Alternative Indicators for Scotland,” Ecological Eco-nomics, Vol. 28, No. 1, 1999, pp. 55-73.
 O. M. Perez, T. C. Telfer, M. C. M. Beveridge and L. G. Ross, “Geographical Information Systems (GIS) as a Simple Tool to Aid Modelling of Particulate Waste Distribution at Marine Fish Cage Sites,” Estuarine Coastal and Shelf Science, Vol. 54, No. 4, 2002, pp. 761-768.
 J. Marulli and J. M. Mal-larach, “A GIS Methodology for Assessing Ecological Connec-tivity: Application to the Barcelona Metropolitan Area,” Land-scape and Urban Planning, Vol. 71, No. 2-4, 2005, pp. 243-262.
 K. Radon, A. Rosenberger, V. Ehrenstein, M. Hoopmann, I. Basting, H. Todt, J. Reichert, H. Dressel, M. Schmid, R. Suchenwirth and D. Nowak, “Geographical Distribution of Acute Symptoms after a Train Collision Involving Epichlorohydrin Exposure,” Envi-ronmental Research, Vol. 102, No. 1, 2006, pp. 46-51.
 G. Cringoli, R. Taddei, L. Rinaldi, V. Veneziano, V. Musella, C. Cascone, G. Sibilio and J. B. Malone, “Use of Remote Sensing and Geographical Information Systems to Identify Environmental Features that Influence the Distribution of Paramphistomosis in Sheep from the Southern Italian Apennines,” Veterinary Parasitology, Vol. 122, No. 1, 2004, pp. 15-26.
 T. Kistemann, S. Zimmer, I. Vagsholm and Y. Andersson, “GIS-Supported In-vestigation of Human EHEC and Cattle VTEC O157 Infections in Sweden: Geographical Distribution, Spatial Variation and Possible Risk Factors,” Epidemiology and Infection, Vol. 132, No. 3, 2004, pp. 495-505. doi:10.1017/S0950268803001729
 T. Wahli, D. Bernet, H. Segner and H. Schmidt-Postha- us, “Role of Altitude and Water Temperature as Regulating Factors for the Geographical Dis-tribution of Tetracapsuloides Bryosalmonae Infected Fishes in Switzerland,” Journal of Fish Biology, Vol. 73, No. 9, 2008, pp. 2184-2197.
 D. R. Youlden, S. M. Cramb and P. D. Baade, “The International Epidemiology of Lung Cancer - Geographical Distribution and Secular Trends,” Journal of Thoracic Oncology, Vol. 3, No. 8, 2008, pp. 819-831.
 S. Yokoi and T. Satomura, “Geographical Distribution of Variance of Intrasea-sonal Variations in Western Indochina as Revealed from Radar Reflectivity Data,” Journal of Climate, Vol. 21, No. 19, 2008, pp. 5154-5161.
 A. Sudaryanto, N. Kajiwara, S. Takahashi, Muawanah and S. Tanabe, “Geographical Distri-bution and Accumulation Features of Pbdes in Human Breast Milk from Indonesia,” Environmental Pollution, Vol. 151, No. 1, 2008, pp. 130-138.
 K. Rungsihirunrat, C. H. Sibley, M. Mungthin and K. Na-Bangchang, “Geographical Distribution of Amino Acid Mutations in Plasmodium Vivax DHFR and DHPS from Malaria Endemic Areas of Thailand,” American Journal of Tropical Medicine and Hygiene, Vol. 78, No. 3, 2008, pp. 462-467.
 G. A. Bardas, O. Koutita and K. Tzavella-Klonari, “Geo Graphical Distribution, Pathotype Characterization, and Molecular Diversity of Colletotrichum Lindemuthianum in Greece and Resistance of Greek Bean Cul-tivars,” Plant Disease, Vol. 91, No. 11, 2007, pp. 1379-1385.
 Q. Wang, H. H. Ma, Q. Ke, C. H. Wang and X. D. Wang, “Spatial Analysis of Regional Sustainable Development Based on Geographic Information System and Relative Carrying Capacity of Resources,” Envi-ronmental Science and Information Application Technology. International Conference on ESIAT 2009, Vol. 1, 2009, pp.437-440.