Data Mines in Real Estate Web Pages: Investigation of Changes in the Czech Real Estate Market Based on Elasticity and on Modified Price Volume Indicator

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F21%3A39918512" target="_blank" >RIV/00216275:25530/21:39918512 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-030-87869-6_15" target="_blank" >http://dx.doi.org/10.1007/978-3-030-87869-6_15</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-87869-6_15" target="_blank" >10.1007/978-3-030-87869-6_15</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Data Mines in Real Estate Web Pages: Investigation of Changes in the Czech Real Estate Market Based on Elasticity and on Modified Price Volume Indicator

Popis výsledku v původním jazyce

A vast number of advertisements on the websites of real estate companies form deep unexplored data mines. Real estate data can be obtained daily by parsing such websites automatically. Specifically, data on the area of apartments and its price are commonly available. Thus, the real estate market could be inspected in each municipality of the Czech Republic. We have developed our own software tool for obtaining this data; it collected data during the period between June 2019 and March 2021. In addition to the price, we also monitored the number of advertisements in each municipality daily. The aim of this study is to propose a methodology for comparing the development of the real estate market in different districts. The comparison of regions is based on cluster analysis. In our study, each region was represented by 29 monthly averages of the number of advertisements and 29 monthly averages of average apartment prices per 1 m(2). However, we performed clustering on derived variables: the monthly value of elasticity and a modified price-volume indicator. The obtained clusters are graphically represented. In addition, the structure of market changes over time is economically interpreted.

Název v anglickém jazyce

Data Mines in Real Estate Web Pages: Investigation of Changes in the Czech Real Estate Market Based on Elasticity and on Modified Price Volume Indicator

Popis výsledku anglicky

A vast number of advertisements on the websites of real estate companies form deep unexplored data mines. Real estate data can be obtained daily by parsing such websites automatically. Specifically, data on the area of apartments and its price are commonly available. Thus, the real estate market could be inspected in each municipality of the Czech Republic. We have developed our own software tool for obtaining this data; it collected data during the period between June 2019 and March 2021. In addition to the price, we also monitored the number of advertisements in each municipality daily. The aim of this study is to propose a methodology for comparing the development of the real estate market in different districts. The comparison of regions is based on cluster analysis. In our study, each region was represented by 29 monthly averages of the number of advertisements and 29 monthly averages of average apartment prices per 1 m(2). However, we performed clustering on derived variables: the monthly value of elasticity and a modified price-volume indicator. The obtained clusters are graphically represented. In addition, the structure of market changes over time is economically interpreted.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

16TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2021)

ISBN

978-3-030-87869-6

ISSN

2194-5357

e-ISSN

2194-5365

Počet stran výsledku

10

Strana od-do

155-164

Název nakladatele

SPRINGER INTERNATIONAL PUBLISHING AG

Místo vydání

CHAM

Místo konání akce

Bilbao

Datum konání akce

22. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000719656700015