Land use zoning at the county level based on a multi-objective particle swarm optimization algorithm: A case study from Yicheng, China

International Journal of Environmental Research and Public Health

Volumn 9, Issue 8, 2012, Pages 2801-2826

  Liu, Yaolin ^a   Wang, Hua ^a   Ji, Yingli ^b   Liu, Zhongqiu ^a   Zhao, Xiang ^a  

^a WUHAN UNIVERSITY   (China)

^b CENTRAL CHINA NORMAL UNIVERSITY   (China)

Author keywords

Crossover and mutation; Land use zoning; Multi objective optimization; Particle swarm optimization; Yicheng

Indexed keywords

DECISION MAKING; GENETIC ALGORITHM; LAND MANAGEMENT; LAND USE PLANNING; MODEL TEST; MODEL VALIDATION; OPTIMIZATION; PERFORMANCE ASSESSMENT; QUANTITATIVE ANALYSIS;

ALGORITHM; ARTICLE; CASE STUDY; CHINA; COMPREHENSIVE LAND USE PLANNING; CROSSOVER OPERATOR; ECOLOGY; GENETIC ALGORITHM; LAND USE; LAND USE ZONING; LEGAL ASPECT; MUTATION OPERATOR; PARTICLE SWARM OPTIMIZATION ALGORITHM;

CHINA; HUBEI; YICHENG;

EID: 84865088137     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph9082801     Document Type: Article

References (50)

1. Natoli, S.J. Zoning and the development of urban land use patterns. Econ. Geogr. 1971, 47, 171-184.
2. Rossi, H.E. Optimal urban land use and zoning. Rev. Econ. Dyn. 2004, 7, 69-106.
3. Mark, J.H.; Goldberg, M.A. Land use controls: The case of zoning in the Vancouver Area. Real Estate Econ. 1981, 9, 418-435.
4. McMillen, D.P.; McDonald, J.F. Land use before zoning: The case of 1920's Chicago. Reg. Sci. Urban Econ. 1999, 29, 473-489.
5. Guo, Y.; Pu, L.J.; Zhao, Y.Y.; Hu, X.T. Review and prospects of land use zoning research. Resour. Environ. Yangtze Basin 2007, 16, 759-763 (in Chinese).
6. Fischel, W.A. Zoning and Land Use Regulation, In Encyclopaedia of Law and Economics; Boudewijn, B., De Geest, G., Eds.; Edward Elgar: Cheltenham, UK, 2000.
7. York, A.M.; Munroe Darla, K. Urban encroachment, forest regrowth and land-use institutions: Does zoning matter? Land Use Policy 2010, 27, 471-479.
8. Fleischmann, A. Politics, administration, and local land-use regulation: Analyzing zoning as a policy process. Public Adm. Rev. 1989, 49, 337-344.
9. Wang, J. Suggestion to the type of land use zones at the county level. China Land. Sci. 2001, 15, 26-30 (in Chinese).
10. Ou, M.H. Discussion on the system of land use zoning. J. Nanjing Agric. Univ. 2001, 24, 111-115 (in Chinese).
11. Wang, J. Land use zoning and regional sustainable land use. China Popul. Resour. Environ. 2001, 11, 83-86 (in Chinese).
12. Zhao, R.Q.; Huang, X.J.; Zhong, T.Y.; Xu, H. Application of clustering analysis to land use zoning of coastal region in Jiangsu Province. Trans. Chin Soc. Agric. Eng. 2010, 26, 301-314 (in Chinese).
13. Meng, L.N.; Zheng, X.Q.; Zhao, L.; Deng, J. Land-use functional regionalization based on niche-fitness model. Trans. Chin. Soc. Agric. Eng. 2011, 27, 282-287 (in Chinese).
14. Pan, J.H.; Liu, Y.; Shi, P.J. Research on overall planning of land use division in Tianshui based on PCA and GIS. Soils 2011,43, 637-643 (in Chinese).
15. Wang, J.; Cheng, Y.; Liu, K; Wang, X.L.; Huang, X.J. The rational analysis of control on the usages of land. China Land Sci. 2003, 17, 47-51 (in Chinese).
16. Brookes, C.J. A genetic algorithm for designing optimal patch configurations in GIS. Int. J. Geogr. Inf. Sci. 2001,15, 539-559.
17. Aerts, J.C.J.H.; Eisinger, E.; Heuvelink, G.B.M.; Stewart, T.J. Using linear integer programming for multi-site land-use allocation. Geogr. Anal. 2003, 25, 148-169.
18. Liu, Y.F.; Li, X.L.; Gong, H.B. Optimization for land use structure based on genetic algorithms. Geomat. Inf. Sci. Wuhan. Univ. 2005, 30, 288-292 (in Chinese).
19. Sante, R.I.; Boullon, M.M.; Crecente, M.R.; Miranda, B.D. Algorithm based on simulated annealing for land-use allocation. Comput. Geosci. 2008, 34, 259-268.
20. Sadeghi, S.H.R.; Jalili, K.; Nikkami, D. Land use optimization in watershed scale. Land Use Policy 2009, 26, 186-193.
21. Gao, Q.Z.; Kang, M.Y.; Xu, H.M.; Jiang, Y.; Yang, J. Optimization of land use structure and spatial pattern for the semi-arid loess hilly-gully region in China. Catena 2010, 81, 196-202.
22. Eldrandaly, K. A GEP-based spatial decision support system for multisite land use allocation. Appl. Soft Comput. 2010, 10, 694-702.
23. Zhang, H.H.; Zheng, Y.N.; Tan, R.; Liu, H.M. A model for regional land use optimization allocation based on multi-agent system and its application. Acta Geogr. Sin. 2011, 66, 972-984.
24. Stewart, T.J.; Janssen, R.; Van, H.M. A genetic algorithm approach to multi-objective land use planning. Comput. Oper. Res. 2004, 31, 2293-2313.
25. Duh, J.D.; Brown, D.G. Knowledge-informed Pareto simulated annealing for multi-objective spatial allocation. Comput. Environ. Urban Syst. 2007, 31, 253-281.
26. Kennedy, J.; Eberhart, R.C. Particle Swarm Optimization. In Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth, Australia, 27 November-1 December 1995; IEEE: Piscataway, NJ, USA; pp. 1942-1948.
27. Wang, Y.; Li, B.; Weise, T.; Wang, J.Y.; Yuan, B.; Tian, Q.J. Self-adaptive learning based particle swarm optimization. Inf. Sci. 2011, 181, 4515-4538.
28. Nickabadi, A.; Ebadzadeh, M.M.; Safabakhsh, R. A novel particle swarm optimization algorithm with adaptive inertia weight. Appl. Soft Comput. 2011, 11, 3658-3670.
29. Suresh, S.; Sujit, P.B.; Rao, A.K. Particle swarm optimization approach for multi-objective composite box-beam design. Compos. Struct. 2007, 81, 598-605.
30. Okamoto, T.S.; Aiyoshi, E. Global optimization with the PSO coupling-type discrete gradient chaos model. Electr. Eng. Jpn. 2008, 165, 67-75.
31. Tsafarakis, S.; Marinakis, Y.; Matsatsinis, N. Particle swarm optimization for optimal product line design. Int. J. Res. Mark. 2011, 28, 13-22.
32. Beghi, A.; Cecchinato, L.; Cosi, G.; Rampazzo, M. A PSO-based algorithm for optimal multiple chiller systems operation. Appl. Therm. Eng. 2012, 32, 31-40.
33. Clerc, M.; Kennedy, J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 2002, 6, 58-73.
34. Higashi, N.; Iba, H. Particle Swarm Optimization with Gaussian Mutation. In Proceedings of IEEE Swarm Intelligence Symposium, Indianapolis, IN, USA, 24-26 April 2003; pp. 72-79.
35. Yong, Y.; Zhang, H.; Wang, X.R.; Schubert, U. Urban land-use zoning based on ecological evaluation for large conurbations in less developed regions: Case study in Foshan, China. J. Urban Plan. Dev. ASCE 2010, 136, 116-124.
36. Kong, X.S.; Liu, Y.F.; Tan, C.F. Correlation analysis of the changes of land use structure and land use efficiency: A case study of Jiayu County in Hubei Province. Resour. Sci. 2009, 31, 1195-1101 (in Chinese).
37. Xie, G.D.; Lu, C.X.; Leng, Y.F., Zheng, D.; Li, S.C. Ecological assets valuation of the Tibetan Plateau. J. Nat. Resour. 2003, 28, 189-196 (in Chinese).
38. Costanza, R.; d'Arge, R.; deGroot, R.; Farber, S.; Grasso, M.; Hannon, B.; Limburg, K.; Naeem, S.; O'Neill, R.V.; Paruelo, J.; et al. The value of the world's ecosystem services and natural capital. Nature 1997, 387, 253-260.
39. Sang, L.L.; Zhang, C.; Yang, J.Y.; Zhu, D.H.; Yun, W.J. Simulation of land use spatial pattern of towns and villages based on CA-Markov model. Math. Comput. Model. 2011, 54, 938-943.
40. Verburg, P.H.; de Koning, G.H.J.; Kok, K.; Veldkamp, A.; Bouma, J. A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecol. Model. 1999, 116, 45-61.
41. Cheng, Y.; Wang, J.; Meng, F.H. Reference. In Research of Space Control of Land Use Zoning; Publishing House of Geological: Beijing, China, 2003 (in Chinese).
42. Nickabadi, A.; Ebadzadeh, M.M.; Safabakhsh, R. A novel particle swarm optimization algorithm with adaptive inertia weight. Appl. Soft Comput. 2011, 11, 3658-3670.
43. Shi, Y.H.; Eberhart, R.C. Parameter Selection in Particle Swarm Optimization. In Proceedings of Evolutionary Programming VII 7th International Conference, EP98, San Diego, CA, USA, 25-27 March 1998; Volume 1447, pp. 591-600.
44. Eberhart, R.C.; Shi, Y. Comparing Inertia Weights and Constriction Factors in Particle Swarm Optimization. In Proceedings of 2000 Congress on Evolutionary Computing (CEC2000), La Jolla, CA, USA, 16-19 July 2000; Volume 1, pp. 84-88.
45. Clerc, M. The Swarm and the Queen: Towards a Deterministic and Adaptive Particle Swarm Optimization. In Proceedings of ICEC, Washington, DC, USA, 6-9 July 1999; pp. 1951-1957.
46. Trelea, I.C. The particle swarm optimization algorithm: Convergence analysis and parameter selection. Inf. Proc. Lett. 2003, 85, 317-325.
47. Carlisle, A.; Dozier, G. An Off-The-Shelf PSO. In Proceedings of the Workshop on Particle Swarm Optimization. Indianapolis, Purdue School of Engineering and Technology, IUPUI, Indianapolis, IN, USA, 2001.
48. Lichtenberg, E.; Ding, C.R. Assessing farmland protection policy in China. Land Use Policy 2008, 25, 59-68.
49. Long, H.L.; Liu, Y.R.; Liu, Y.S.; Woods, M.; Zou, J. Accelerated restructuring in rural China fueled by 'increasing vs. decreasing balance' land-use policy for dealing with hollowed villages. Land Use Policy 2012, 29, 11-22.
50. Parsopoulos, K.E.; Vrahatis, M.N. Parameter selection and adaptation in unified particle swarm optimization. Math. Comput. Model. 2007, 46, 198-213.