A measure of regional influence with the analytic network process
The metropolitan region is commonly defined by a socio-spatial network of urban nodes that are linked in territory and function. Such a network is differentiated by size and dominance of the linked nodes, characterized by physical or virtual flows of a wide-ranging variety. The analytic network process (ANP) is a multi-criteria analytic method that measures the influence or dominance of the nodes in a network with feedback. We illustrate how ANP determines county rank as a measure of influence in a metropolitan statistical area (MSA) defined by its interrelated socio-economic and spatial elements qualitatively and quantitatively. We compare the ANP results to similar measures of regional influence in the literature.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Patsy Healey, 2004. "The Treatment of Space and Place in the New Strategic Spatial Planning in Europe," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 28(1), pages 45-67, 03.
- Reza Banai-Kashani, 1988. "A Note on the Subregional Employment Impact of Urban Revitalization," The Review of Regional Studies, Southern Regional Science Association, vol. 18(3), pages 41-46, Fall.
- Saaty, Thomas L., 1994. "Highlights and critical points in the theory and application of the Analytic Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 74(3), pages 426-447, May.
- Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
- J T Diamond & J R Wright, 1988. "Design of an integrated spatial information system for multiobjective land-use planning," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 15(2), pages 205-214, March.
- Azis, Iwan J., 2010. "Predicting a recovery date from the economic crisis of 2008," Socio-Economic Planning Sciences, Elsevier, vol. 44(3), pages 122-129, September.
- Nick Malleson & Andrew Evans & Tony Jenkins, 2009. "An agent-based model of burglary," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 36(6), pages 1103-1123, November.
- Blair, Andrew R. & Nachtmann, Robert & Olson, Josephine E. & Saaty, Thomas L., 1987. "Forecasting foreign exchange rates: an expert judgment approach," Socio-Economic Planning Sciences, Elsevier, vol. 21(6), pages 363-369.
- Gutiérrez Puebla, Javier, 1987. "Spatial structures of network flows: A graph theoretical approach," Transportation Research Part B: Methodological, Elsevier, vol. 21(6), pages 489-502, December.
When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:45:y:2011:i:4:p:165-173. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If references are entirely missing, you can add them using this form.