Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ackroyd, P., 2001. London: The Biography New edition., Vintage.
Bacharach, S.B., 1989. Organizational Theories: Some Criteria for Evaluation. The Academy of Management Review, 14(4), 496-515.
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.
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.
Harris, R.J. & Longley, P.A., 2002. Creating small area measures of urban deprivation. Environment and Planning A, 34(6), 1073 – 1093.
Hebbert, M., 1998. London: More by Fortune than Design, London: John Wiley.
Jackson, D.A., 1993. Stopping Rules in Principal Components Analysis: A Comparison of Heuristical and Statistical Approaches. Ecology, 74(8), 2204-2214.
Johnston, R.J., 2000. The dictionary of human geography, Blackwell Publishers.
Kaiser, H.F., 1960. The Application of Electronic Computers to Factor Analysis. Educational and Psychological Measurement, 20(1), 141-151.
LDA, 2003. Understanding London's Sectors, London: London Development Agency.
Leigh, 1970. The use of location quotients in urban economic base studies. Land economics, 46(2), 202.
Lloyd, D., 2004. Uncertainty in Town Centre Definition. PhD Thesis. University College London.
Longley, P. & Clarke, G., 1995. GIS for business and service planning, John Wiley and Sons.
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.
Porter, M.E., 2000. Location, Competition, and Economic Development: Local Clusters in a Global Economy. Economic Development Quarterly, 14(1), 15.
Robinson, G.M., 1998. Methods and techniques in human geography, London: J. Wiley.
Saxenian, A., 1991. The origins and dynamics of production networks in Silicon Valley. Research Policy, 20(5), 423-437.
Sleight, P., 1997. Targeting Customers: how to use geodemographic and lifestyle data in your business, NTC Publications Henley on Thames, UK.
Thurstain, M. et al., 2001. Producing Boundaries and Statistics for Town Centres, CASA, Center for Advanced Spatial Analysis, London.
Thurstain-Goodwin, M. & Unwin, D., 2000. Defining and Delineating the Central Areas of Towns for Statistical Monitoring Using Continuous Surface Representations. Transactions in GIS, 4(4), 305-317.
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.
Weber, P. & Chapman, D., 2009. Investing in geography: A GIS to support inward investment. Computers, Environment and Urban Systems, 33(1), 1-14.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Weber, P., Chapman, D. (2010). A Geo-business Classification for London. In: Painho, M., Santos, M., Pundt, H. (eds) Geospatial Thinking. Lecture Notes in Geoinformation and Cartography, vol 0. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12326-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-12326-9_7
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12325-2
Online ISBN: 978-3-642-12326-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)