Effect of Rent Spatial Distribution to Urban Business District Planning

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As the physical embodiment of urban commerce, the leasing of office buildings objectively influences the reconstitution of city space and the construction of commercial zones. By adopting Kriging in a geostatistical analysis module, this paper takes the rent of office buildings in Chongqing as the subject of research to construct a digital rent spatial model based on lease transaction data from 2009 with ArcGIS. Using the rent thematic map provided by this model and combining the specific circumstances of Chongqing, the rent spatial distribution structure is studied, so as to provide the basis for an approach to commercial land division and spatial planning.

Info:

Periodical:

Advanced Materials Research (Volumes 374-377)

Edited by:

Hui Li, Yan Feng Liu, Ming Guo, Rui Zhang and Jing Du

Pages:

2001-2008

DOI:

10.4028/www.scientific.net/AMR.374-377.2001

Citation:

H. Liang and W. Yi, "Effect of Rent Spatial Distribution to Urban Business District Planning", Advanced Materials Research, Vols. 374-377, pp. 2001-2008, 2012

Online since:

October 2011

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$35.00

[1] World Bank. China in 2020. [M]. Beijing: China Financial & Economic Publishing House, (1997).

[2] Sustainable Development Study Group of Chinese Academy of Sciences. 2001. China Sustainable Development Strategic Report. [M]. Hefei: China Science and Technology Press, (2001).

[3] Yao Shimou. Spatial Expansion of Metropolitan. [M]. Hefei: China Science and Technology Press, (1998).

[4] Pivo, Gary. The Net of Mixed Beads: Suburban Office Development in Six Metropolitan Regions [J]. Journal of the American Planning Association, 1990, (56): 457-469.

DOI: 10.1080/01944369008975449

[5] Gad G. Office location dynamics in Toronto: suburbanization and central district specialization [J]. Urban Geography. 1985, (4): 331-351.

DOI: 10.2747/0272-3638.6.4.331

[6] Kee-Bom Nahm. Downtown office location dynamics and transformation of central Seoul [J]. Korea Geo Journal. 1999, 49: 289-299.

[7] R. Keith Semple and Alan G. Phipps. The Spatial Evolution of Corporate Headquarters within an Urban System [J]. Urban Geograpy. 1989, (3): 259.

DOI: 10.2747/0272-3638.3.3.258

[8] Sarnecki, Candice. Office Location Patterns: A Comparison of Office Location Patterns in London and Hamilton, Ontario to the model of Toronto, Ontario [D]. University of Windsor. (1998).

[9] Chung, Lawrence Lai Wai. Evaluation office decentralization of a financial center [M]. Planning & Development. 1996: 12(1).

[10] Glascock, J.S., Jahanian and Sirmans, C.F. An analysis of office market rent: some empirical evidence [J]. Journal of the American Real Estate and Urban Economics Association, 1990 (18): 105-119.

DOI: 10.1111/1540-6229.00512

[11] Mills, E. S. Office rent determinants in the Chicago area [J]. Journal of the American Real Estate and Urban Economics Association, 1992, 20 (1): 273-287.

DOI: 10.1111/1540-6229.00584

[12] Dunse, N and Jones, C. A hedonic price model of office rents [J]. Journal of Property Valuation& Investment, 1998, 16 (3): 297-312.

DOI: 10.1108/14635789810221760

[13] Matheron, G. Principles of geostatistics [J]. Economic Geology, 1963, s8: 1246-1266.

[14] Azar, K. T., Ferreira, J. J. and Abed, J. Reconstruction in postwar Beirut: Using GIS to estimate spatial distribution of land value [J]. GeoInfo Systems, 1994, 4 (7): 34-41.

[15] Martinez, M.G., Lorenzo, J. M. M. and Rubio, N. G. Kriging. Methodology for regional economic analysis: Estimating the housing price in Albacete [J]. International Advances in Economic Research, 2000, 6(3): 438-450.

DOI: 10.1007/bf02294963

[16] Luo, J. Modeling Urban Land Values in a GIS Environment, working paper [EB/01]. http:/www. uwm. edulDept/GIS/flyers/junluocompetition04. pdf, (2004).

[17] Chongqing Planning Research Institute. Spatial Development Strategy of Urban Planning in Chongqing. [J]. 2009, 6-15.

[18] Sun Yingjun, Wang Jinfeng and Bo Yanchen. Study on Geostatistics Development. [J]. Advances in Earth Sciences. 2004, 19 (2): 268-274.

[19] Rossi, R. E., Mu11a, D. J. Journel, A. G., et al. Geostatistical tools for modeling and interpreting ecological spatial dependence [J]. Ecological Monographs, 1992, 62: 277-314.

DOI: 10.2307/2937096

[20] Anselin. Local Indicators of Spatial Association: LISA (Research paper 9331) [R]. Morgantown, WV: Regional Research Institute, West Virginia University, (1994).

[21] Goovaerts, P. Geostatistical tools for characterizing the spatial variability of microbiological and physico-chemical soil properties [J]. Biol Fertil Soils 1998, 27: 315-334.

DOI: 10.1007/s003740050439

[22] Harris, C. D. and Ullman, E. L. The Nature of Cities [J]. The Annals of American Academy of Political and Science (242): 7-17.

[23] Hoyt, H. The Structure and Growth of Residential Neighbourhoods in American Cities. Washington, D. C. Government Printing Office, (1939).

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