Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Urban Studies
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Kauko, T.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

A Comparative Perspective on Urban Spatial Housing Market Structure: Some More Evidence of Local Sub-markets Based on a Neural Network Classification of Amsterdam

Tom Kauko

OTB Research Institute for Housing, Urban and Mobility Studies, Jaffalaare 9, Postbus 5030, NL-2600 GA Delft, The Netherlands, Kauko{at}otb.tudelft.nl

When analysing the spatial housing market structure of urban areas, a frequently arising question concerns the relevant criteria for housing market segmentation: is it the transaction price or related to other, socioeconomic, demographic and physical features of the location? In this study, two neural network techniques (SOM, LVQ, Kohonen) are used for identifying sub-markets within Amsterdam, The Netherlands. Because of the inductive nature of the modelling, any theory has to be understood in an open sense: generalising the principles of classification to another context to enable elaboration of institutionally sensitive housing market theory. These findings are therefore compared with earlier findings from another urban housing market-namely, Helsinki, Finland. The comparison shows that, while the price alone is an insufficient criterion for both markets, Amsterdam is more fragmented than Helsinki.

Urban Studies, Vol. 41, No. 13, 2555-2579 (2004)
DOI: 10.1080/0042098042000294565
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Urban StudHome page
V. Royuela and M. A. Vargas
Defining Housing Market Areas Using Commuting and Migration Algorithms: Catalonia (Spain) as a Case Study
Urban Stud, October 1, 2009; 46(11): 2381 - 2398.
[Abstract] [PDF]

Home page
 Urban StudHome page
T. Kauko
Classification of Residential Areas in the Three Largest Dutch Cities Using Multidimensional Data
Urban Stud, July 1, 2009; 46(8): 1639 - 1663.
[Abstract] [PDF]