Adding Spatial Location Attributes to Enhance Housing Transaction Data
Susilawati, Connie & Hayes, John F. (2007) Adding Spatial Location Attributes to Enhance Housing Transaction Data. In 13th Annual Conference Pacific Rim Real Estate Society, 21 to 24 January 2007, Fremantle, Australia.
Queensland Valuation and Sales System is the data base used by the Department of Natural Resources and Mines for the storage, update and retrieval of valuation and associated property and sales information. The system contains datasets that include property details, sales dates and sale prices. The records contain land area for house transactions but not for unit transactions. Furthermore, the system stores no information as to how the houses sold, by auction or private treaty, and no further housing attribute information is available from the system. Home buyers consider location as a major factor when deciding their preference to purchase in a specific area. This paper describes a study for adding location attributes to housing transaction records to enable spatial analysis of the housing transaction records. The study will utilise two major datasets of spatial attributes. The first set is the property location attributes such as orientation, height, aspect, frontage and street hierarchy. The second set is the property linkage defined as the proximity of a particular location and ease of access to major shopping centres, transportation nodes, schools and the Central Business District.
This paper reports the process of creating a dataset of the spatial location for each housing transaction record and applying this attribute to the transaction record thereby improving the useability of this latter data for graphical display, querying and spatial analysis. This enhanced dataset will be shown to improve the quality of housing transaction data so as to facilitate housing transaction modelling and analysis. This paper will report also on the creation of the property linkage dataset and describe further study that utilises this second dataset to facilitate transactional analysis and its impact on the effectiveness of auction in housing transaction.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Additional Information:||The contents of this conference can be freely accessed online via the publisher’s web page (see hypertext link).|
|Subjects:||Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > COMMERCIAL SERVICES (150400) > Real Estate and Valuation Services (150403)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2007 (please consult author)|
|Deposited On:||07 Jan 2008|
|Last Modified:||09 Jun 2010 12:51|
Repository Staff Only: item control page