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Title
The 3rd ISPRS Workshop on Dynamic and Multi-Dimensional GIS & the 10th Annual Conference of CPGIS on Geoinformatics
Author
Chen, Jun

ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001
390
the ways that demographic and spatial variables can be used as
predictors of the viability of branch banks.
In addition, branch transaction data is needed to explain
discrepancies in the results generated by the SMART model and
the branches closed in the real world, to explain why some
branches the SDSS indicates as being viable actually have been
closed,
REFERENCES
[1] ABA 1965: A guide to selecting bank locations, American
Bankers Association Bankers Weekly: Marketing Research Aids
Series, (2).
[2] Armstrong, M. P., Densham, P. J. and Rushton, G. 1986:
Architecture for a microcomputer based spatial decision support
system, in Marble, D. E. (eds), On Geographical Data Sensing
and Proceedings: 2nd International Symposium on Spatial Data
Handling, pp. 120-131.
[3] Avkiran, N. K. 1997: Models of retail performance for bank
branches: predicting the level of key business drivers,
International Journal of Bank Marketing, 15(5), pp.224 - 237.
[4] Birkin, M., Clarke, G., Clarke, M. and Wilson, A. 1996:
Intelligent GIS : Location Decisions and Strategic Planning,
Pearson Professional Ltd, New York.
[5] Clarke, G. and Clarke, M. 1995: The development and
benefits of customized spatial decision support systems, in
Longley, P. and Clarke, G. (eds), GIS for Business and Service
Planning, Pearson Professional Ltd, New York, pp.227 - 246.
[6] Corner, J. L. and Kirkwood, C. W. 1991: Decision analysis
applications in the operations research literature 1970 - 1989,
Operations Research, 39(2), pp.206-219.
[7] Densham, P. J. 1991: Spatial decision support systems,
in Maguire, D. J., Goodchild, M. F. and Rhind, D. W. (eds),
Geographical Information System: Principles and Applications,
Longman Scientific & Technical, London, pp.403-412.
[8] Densham, P. J. and Rushton, G. 1988: Decision support
systems for locational planning, in Golledge, R. and
Timmermans, H. (eds), Behavioral Modelling in Geography and
Planning, Croom Helm, London, pp.55-90.
[9] Edwards, W. 1971: Social utilities, Engineering
Economist, Summer Symposium Series, 6.
[10] Edwards, W. 1977a: How to use Multiattribute Utility
Theory for social decision making, IEEE Trans. Systems Man,
Sybem, (7), pp.326 - 340.
[11] Edwards, W. 1977b: Use of multiattribute utility
measurement for social decision making, in Bell, D. E.,
Keeney, D. L. and Raiffa, H. (eds), Conflicting Objectives in
Decisions, Wiley, London, pp. 247 - 276.
[12] Fedra, K. 1993: GIS and environmental modelling, in
Goodchild, M. F., Parks, B. O. and Steyaert, L. T. (eds),
Environmental Modelling with GIS, Oxford University Press, New
York, pp.35-50.
[13] Gardiner, P. C. and Edwards, W. 1975: Public values:
multiattribute utility measurement for social decision making, in
Kaplan, M. F. and Schwartz, S. (eds), Human Judgement and
Decision Processes, Academic Press, New York, pp. 1 - 37.
[14] Goodchild, M. F., Haining, R. and Wise, S. 1992:
Integrating GIS and spatial data analysis: problems and
possibilities, International Journal of Geographical Information
Systems, 6(5), pp.407 - 423.
[15] Goodchild, M. F., Parks, B. O. and Steyaert, L. T. 1993:
Environmental Modelling with GIS, Oxford University Press,
New York.
[16] Hobbs, B. F., Chankong, V., Hamadeh, W. and Stakhiv, E.
Z. 1992: Does Choice of Multicriteria Method Matter? An
Experiment in Water Resources Planning, Water Resources
Research, 28, pp.1767 -1779.
[17] Jankowski, P. 1995: Integrating geographical information
systems and multiple criteria decision-making methods,
International Journal of Geographical Information System, 9,
pp.251-273.
[18] Keeney, R. L. 1969: Multidimensional Utility Functions:
Theory, Assessment, and Applications, M.l.T. Press,
Cambridge.
[19] King, L. J. C. 1993: Financial Institutions, in Castle, G. H.
(eds), Profiting from a geographic information system, GIS
World, pp.57-74.
[20] Leyshon, A. and Pollard, J. 2000: Geographies of
industrial convergence: the case of retail banking, Transactions
of the Institute of British Geographers, 25, pp.203 - 220.
[21] Malczewski, J. and Ogryczak, W. 1995: The Multiple
criteria location problem: 1. A generalized network model and
the set of efficient solutions, Environment and Planning A, 27,
pp. 1931-1960.
[22] Malczewski, J. 1996: A GIS-based approach to multiple
criteria group decision making, International Journal of
Geographical Information System, 10, pp. 955-971.
[23] Mols, N. P. 1999: The Internet and the banks' strategic
distribution channel decisions, The International Journal of Bank
Marketing, 17(7), pp.295 - 300.
[24] Morrall, K. 1996: Stand and deliver: Branch site selection
and alternative delivery, Bank Marketing, 28(9), pp.17-31.
[25] SMH 1999: Bank closures signal trouble, in Sydney
Morning Herald, 07 June.
[26] Nijkamp, P., Rietveld, P. and Voogd, H. 1990: Multicriteria
Evaluation in Physical Planning, Elsevier Science Publishers B.
V., North - Holland.
[27] Parks, B. O. 1993: The need for integration, in Goodchild,
M. F., Parks, B. O. and Steyaert, L. T. (eds), Environmental
Modelling with GIS, Oxford University Press, New York, pp.31-
34.
[28] Roy, B. 1996: Multicriteria Methodology for Decision
Aiding, Kluwer Academic Publishers, Dordecht.
[29] The Age 1999a: Customers fight back in battle with
banks, in The Age, 03 Aug.
[30] The Age 1999b: How banks lost our trust and how they
might get it back, in The Age, 14 Aug.
[31] Zhao, L. and Garner, J. B. 2000: Using GIS to analyse the
changing network of branch banks, Spatial Business: Daring to
Change: Proceedings of MSIA National Conference 2000,
Promaco Conventions, Sydney, pp.149 - 160.