A Geo-business Classification for London
This paper discusses the methodology and processes required to implement a geo-business classification to aid spatial decision making in the context of foreign direct investment promotion for London. This research is both timely and relevant since there is need for better decision support tools that will improve sub-regional location decision making ensuring London’s diverse business neighbourhoods are presented effectively to potential investors.
The research methodology presented in this paper adopts principals and practices common place in consumer marketing in the form of geodemographic classification. The five key data domains associated with companies, working property stock, general living environment and accessibility were used to gather a range of input variables. These variables were then used as the input to a principal components analysis which simplified the data into 9 dimensions describing and contrasting London’s diverse business neighbourhoods. These geo-business area profiles will form the basis for spatial decision support tools for business location decision making.
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- Ackroyd, P., 2001. London: The Biography New edition., Vintage.Google Scholar
- Charlton, M., Openshaw, S. & Wymer, C., 1985. Some new classifications of census enumeration districts in Britain: a poor man's ACORN. Journal of Economic and Social Measurement, 13(1), 69–96.Google Scholar
- Department of Communities and Local Government, 2009. Indices of Deprivation 2007. Indices of Deprivation 2007. Available at: http://www.communities.gov.uk/communities/neighbourhoodrenewal/deprivation/deprivation07/ [Accessed July 21, 2009].
- Experian, 2009. MOSAIC UK 2009. Available at: http://www.businessstrategies.co.uk/ [Accessed July 20, 2009].
- Harris, R., Webber, R. & Sleight, P., 2005. Geodemographics, GIS and neighbourhood targeting, John Wiley & Sons Inc.Google Scholar
- Hebbert, M., 1998. London: More by Fortune than Design, London: John Wiley.Google Scholar
- Johnston, R.J., 2000. The dictionary of human geography, Blackwell Publishers.Google Scholar
- LDA, 2003. Understanding London's Sectors, London: London Development Agency.Google Scholar
- Lloyd, D., 2004. Uncertainty in Town Centre Definition. PhD Thesis. University College London.Google Scholar
- Longley, P. & Clarke, G., 1995. GIS for business and service planning, John Wiley and Sons.Google Scholar
- Office of National Statistics, 2009. National Statistics 2001 Area Classification. Office of National Statistics Website. Available at: http://www.statistics.gov.uk/about/methodology_by_theme/area_classification/default.asp [Accessed July 20, 2009].
- Office of National Statistics, 2008. The IDBR Inter-Departmental Business Register; a key survey source. The IDBR Inter-Departmental Business Register; a key survey source. Available at: http://www.statistics.gov.uk/CCI/nugget.asp?ID=195 [Accessed July 21,2009].
- Pearson, K., 1901. On lines and planes of closest fit to systems of points in space. Philosophical magazine, 2(6), 559–572.Google Scholar
- Robinson, G.M., 1998. Methods and techniques in human geography, London: J. Wiley.Google Scholar
- Sleight, P., 1997. Targeting Customers: how to use geodemographic and lifestyle data in your business, NTC Publications Henley on Thames, UK.Google Scholar
- Thurstain, M. et al., 2001. Producing Boundaries and Statistics for Town Centres, CASA, Center for Advanced Spatial Analysis, London.Google Scholar
- URBED, 2002. A City of Villages: Promotion a sustainable future for London's suburbs, London: Greater London Authority. Available at: http://www.london.gov.uk/mayor/planning/docs/tr11_villages.pdf.