The Importance of Urban Spatial Grid Data in the Building Valuation Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26610%2F23%3APU151115" target="_blank" >RIV/00216305:26610/23:PU151115 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5592/CO/SENET.2022.17" target="_blank" >https://doi.org/10.5592/CO/SENET.2022.17</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5592/CO/SENET.2022.17" target="_blank" >10.5592/CO/SENET.2022.17</a>
Alternative languages
Result language
angličtina
Original language name
The Importance of Urban Spatial Grid Data in the Building Valuation Process
Original language description
The aim of this paper is to structure information on environmental characteristics that influence housing prices so that it can be effectively used in the valuation process through digital visualization. A suitable data platform for real estate valuation entities should contain information about the spatial data of the urban grid in a structured form that is stored digitally and accessible to all. OpenStreetMap can be considered as such a platform. It is a relatively user-friendly open tool that can be used for spatial and market analysis. This activity is very necessary in the valuation process as it is very time consuming and requires extensive data collection. This paper examines the environmental spatial characteristics in the urban grid to see whether or not they have an impact on the price of housing. These influences are examined using a non-parametric test that allows two groups or conditions to be examined. The Mann-Whitney U test is a test for ordinal data that is similar to a two-sample t-test. Nonparametric tests are used when a certain distribution of the data cannot be assumed. The paper concludes by presenting a systematic approach to incorporating information on the urban grid characteristics under investigation into open data platforms to streamline the property valuation process. The results can be suitably generalized to other commodities and markets.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20103 - Architecture engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 6th IPMA SENET Project Management Conference “Digital Transformation and Sustainable Development in Project Management”
ISBN
978-953-7686-12-3
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
248-258
Publisher name
International Project Management Association, IPMA Publications
Place of publication
The Netherlands
Event location
Dubrovnik
Event date
Sep 21, 2022
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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