Comparing Spatial Features of Urban Housing Markets: Recent by T. Kauko PDF

February 27, 2018 | Urban | By admin | 0 Comments

By T. Kauko

ISBN-10: 9040726183

ISBN-13: 9789040726187

A number of place particular attributes give a contribution to the spatial dynamics of housing markets. This impression could in part be of a qualitative and discontinuous nature, which factors industry segmentation into submarkets.IOS Press is a global technology, technical and clinical writer of fine quality books for lecturers, scientists, and pros in all fields. the various components we post in: -Biomedicine -Oncology -Artificial intelligence -Databases and data structures -Maritime engineering -Nanotechnology -Geoengineering -All features of physics -E-governance -E-commerce -The wisdom economic climate -Urban stories -Arms regulate -Understanding and responding to terrorism -Medical informatics -Computer Sciences

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Read Online or Download Comparing Spatial Features of Urban Housing Markets: Recent Evidence of Submarket Formation in Metropolitan Helsinki and Amsterdam - Volume 07 Sustainable Urban Areas PDF

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Extra resources for Comparing Spatial Features of Urban Housing Markets: Recent Evidence of Submarket Formation in Metropolitan Helsinki and Amsterdam - Volume 07 Sustainable Urban Areas

Sample text

It is important to remember that, in the SOM-LVQ classification approach, labels are assigned to each category of observations according to underlying (relative) market characteristics. , a label might be a symbol for a particular area in which a particular combination of characteristics is typical). Some segments may be based on criteria other than location. For example, a given area might be divided into building stock from two age categories. It can be argued that the theory of neural network modelling is not actually a theory at all, except in an open sense, with ‘theory’ referring only to the process of moving from empirical findings towards generalisation.

In this way, a particular locational label becomes a symbol for a particular combination of variables and submarket structure. The following results were interpreted from the map: n single-family housing forms two separate homogeneous clusters: (1) a larger group comprised of areas of mixed nature from all three main municipalities (the darker neurons on the lower right of the map), suggesting a physically homogeneous space across municipal boundaries and (2) another, much smaller group in southern Espoo (the darker neurons on the lower left side of the map); n the most expensive (per square metre) areas are the most urbanised, with the least open space and the best commercial services (inner Helsinki neurons in the upper and lower left corners of the map); 16 The software packages used in the study are SOM_PAK and LVQ_PAK, in MS/DOS, produced by the Laboratory of Computer and Information Science at the Helsinki University of Technology.

This process quantifies the relative contribution of each element in the value tree to the overall goal. Using the analytic hierarchy process (AHP), quality ranks were generated for various bundles of locational attributes, using interactive data. In this exercise, the respondents were required to meet two criteria: (1) a pursuit as stakeholder, based on professional responsibility in business or administration and (2) a deep local knowledge of the spatial housing-market structure, gained through professional experience.

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Comparing Spatial Features of Urban Housing Markets: Recent Evidence of Submarket Formation in Metropolitan Helsinki and Amsterdam - Volume 07 Sustainable Urban Areas by T. Kauko

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