Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate

Abstract Urban transport investments have contributed to the exponential increase of value from land and properties around the built infrastructure. Although literature had shown evidence of value uplift from the residential property due to transit development, little is known about the impact on co...

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Main Authors: Mohammed Ali Berawi, Perdana Miraj, Gunawan Saroji, Mustika Sari
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:Journal of Big Data
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40537-020-00348-z
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author Mohammed Ali Berawi
Perdana Miraj
Gunawan Saroji
Mustika Sari
author_facet Mohammed Ali Berawi
Perdana Miraj
Gunawan Saroji
Mustika Sari
author_sort Mohammed Ali Berawi
collection DOAJ
description Abstract Urban transport investments have contributed to the exponential increase of value from land and properties around the built infrastructure. Although literature had shown evidence of value uplift from the residential property due to transit development, little is known about the impact on commercial property values. This paper aims to evaluate the impact of rail transit proximity to the commercial property market by taking into account the pre-operation of the LRT project in Jakarta, Indonesia. This study utilizes a big data approach to accelerate research data processing by employing data mining method, as well as geographical information system (GIS) and hedonic price modeling (HPM) to investigate the property prices to formulate empirical evidence for the research. The results show opposite evidence compared to previous studies which argued that accessibility may contribute to the property price when closer to the transit station. The findings indicate that proximity to rail transit has an insignificant impact on the commercial property price compared to other variables such as building size, number of rooms, location, and hospitals. A comparison of the findings between this research with other studies was discussed and recommendation for further research development was proposed.
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spelling doaj.art-697f5bb535e746b9b655e96a0b5719922022-12-22T01:32:06ZengSpringerOpenJournal of Big Data2196-11152020-09-017111710.1186/s40537-020-00348-zImpact of rail transit station proximity to commercial property prices: utilizing big data in urban real estateMohammed Ali Berawi0Perdana Miraj1Gunawan Saroji2Mustika Sari3Department of Civil Engineering, Universitas IndonesiaDepartment of Civil Engineering, Universitas PancasilaCenter for Sustainable Infrastructure Development, Universitas IndonesiaCenter for Sustainable Infrastructure Development, Universitas IndonesiaAbstract Urban transport investments have contributed to the exponential increase of value from land and properties around the built infrastructure. Although literature had shown evidence of value uplift from the residential property due to transit development, little is known about the impact on commercial property values. This paper aims to evaluate the impact of rail transit proximity to the commercial property market by taking into account the pre-operation of the LRT project in Jakarta, Indonesia. This study utilizes a big data approach to accelerate research data processing by employing data mining method, as well as geographical information system (GIS) and hedonic price modeling (HPM) to investigate the property prices to formulate empirical evidence for the research. The results show opposite evidence compared to previous studies which argued that accessibility may contribute to the property price when closer to the transit station. The findings indicate that proximity to rail transit has an insignificant impact on the commercial property price compared to other variables such as building size, number of rooms, location, and hospitals. A comparison of the findings between this research with other studies was discussed and recommendation for further research development was proposed.http://link.springer.com/article/10.1186/s40537-020-00348-zCommercial propertyHedonic price modelJakarta indonesiaProximity premiumRail transitValue capture
spellingShingle Mohammed Ali Berawi
Perdana Miraj
Gunawan Saroji
Mustika Sari
Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate
Journal of Big Data
Commercial property
Hedonic price model
Jakarta indonesia
Proximity premium
Rail transit
Value capture
title Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate
title_full Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate
title_fullStr Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate
title_full_unstemmed Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate
title_short Impact of rail transit station proximity to commercial property prices: utilizing big data in urban real estate
title_sort impact of rail transit station proximity to commercial property prices utilizing big data in urban real estate
topic Commercial property
Hedonic price model
Jakarta indonesia
Proximity premium
Rail transit
Value capture
url http://link.springer.com/article/10.1186/s40537-020-00348-z
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AT perdanamiraj impactofrailtransitstationproximitytocommercialpropertypricesutilizingbigdatainurbanrealestate
AT gunawansaroji impactofrailtransitstationproximitytocommercialpropertypricesutilizingbigdatainurbanrealestate
AT mustikasari impactofrailtransitstationproximitytocommercialpropertypricesutilizingbigdatainurbanrealestate