Land Value Capture Modeling in Commercial and Office Areas using a Big Data Approach

Infrastructure development in Indonesia creates massive impacts on the economy. The Light rail transit (LRT) of greater Jakarta (Jabodebek) project has been estimated to have cost more than 29 trillion rupiahs due to land acquisition and route planning. The urban transit development may impact t...

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Main Authors: Mohammed Ali Berawi, Nyoman Suwartha, Fathiya Salsabila, Gunawan, Perdana Miraj, Roy Woodhead
Format: Article
Language:English
Published: Universitas Indonesia 2019-11-01
Series:International Journal of Technology
Subjects:
Online Access:http://ijtech.eng.ui.ac.id/article/view/3640
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author Mohammed Ali Berawi
Nyoman Suwartha
Fathiya Salsabila
Gunawan
Perdana Miraj
Roy Woodhead
author_facet Mohammed Ali Berawi
Nyoman Suwartha
Fathiya Salsabila
Gunawan
Perdana Miraj
Roy Woodhead
author_sort Mohammed Ali Berawi
collection DOAJ
description Infrastructure development in Indonesia creates massive impacts on the economy. The Light rail transit (LRT) of greater Jakarta (Jabodebek) project has been estimated to have cost more than 29 trillion rupiahs due to land acquisition and route planning. The urban transit development may impact to the price of property including residential, commercials and offices along the route. This research aims to determine variables affecting the price elasticity of property and  the correlation to station proximity. Data mining through web scrapping was used to assess the degree of correlation between price elasticity and station location. The result shows that approximately 13% of the commercial property was spread over a distance of 1 km from the LRT station. The closer a property to transit station, the price will be twice cheaper compared to those located further. The findings also show variables that highly contribute to property prices including schools, hospitals, and proximity to some of transit stations located in city center of Jakarta and building density.
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spelling doaj.art-75206e01c325475aba04f2e268066ac72023-01-02T08:45:44ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002019-11-011061150115610.14716/ijtech.v10i6.36403640Land Value Capture Modeling in Commercial and Office Areas using a Big Data ApproachMohammed Ali Berawi0Nyoman Suwartha1Fathiya Salsabila2Gunawan3Perdana Miraj4Roy Woodhead5Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, IndonesiaDepartment of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, IndonesiaDepartment of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, IndonesiaDepartment of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, IndonesiaDepartment of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, IndonesiaBusiness Operation Systems, Sheffield Business School, Sheffield Hallam University, 38 - 40 Howard Street, Sheffield S1 1WB, United KingdomInfrastructure development in Indonesia creates massive impacts on the economy. The Light rail transit (LRT) of greater Jakarta (Jabodebek) project has been estimated to have cost more than 29 trillion rupiahs due to land acquisition and route planning. The urban transit development may impact to the price of property including residential, commercials and offices along the route. This research aims to determine variables affecting the price elasticity of property and  the correlation to station proximity. Data mining through web scrapping was used to assess the degree of correlation between price elasticity and station location. The result shows that approximately 13% of the commercial property was spread over a distance of 1 km from the LRT station. The closer a property to transit station, the price will be twice cheaper compared to those located further. The findings also show variables that highly contribute to property prices including schools, hospitals, and proximity to some of transit stations located in city center of Jakarta and building density.http://ijtech.eng.ui.ac.id/article/view/3640commercial propertydata miningland value capturelrttransit-oriented development
spellingShingle Mohammed Ali Berawi
Nyoman Suwartha
Fathiya Salsabila
Gunawan
Perdana Miraj
Roy Woodhead
Land Value Capture Modeling in Commercial and Office Areas using a Big Data Approach
International Journal of Technology
commercial property
data mining
land value capture
lrt
transit-oriented development
title Land Value Capture Modeling in Commercial and Office Areas using a Big Data Approach
title_full Land Value Capture Modeling in Commercial and Office Areas using a Big Data Approach
title_fullStr Land Value Capture Modeling in Commercial and Office Areas using a Big Data Approach
title_full_unstemmed Land Value Capture Modeling in Commercial and Office Areas using a Big Data Approach
title_short Land Value Capture Modeling in Commercial and Office Areas using a Big Data Approach
title_sort land value capture modeling in commercial and office areas using a big data approach
topic commercial property
data mining
land value capture
lrt
transit-oriented development
url http://ijtech.eng.ui.ac.id/article/view/3640
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AT perdanamiraj landvaluecapturemodelingincommercialandofficeareasusingabigdataapproach
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