Land Value Capture Modeling in Residential Area Using Big Data Approach Method

Authors

  • Mohammed Ali Berawi Universitas Indonesia
  • Lusi Aprianti Universitas Indonesia
  • Gunawan Saroji Universitas Indonesia
  • Mustikasari Sari Universitas Indonesia
  • Perdana Miraj Universitas Indonesia
  • Amy A. Kim University of Washington

DOI:

https://doi.org/10.4186/ej.2020.24.4.249

Keywords:

land value capture, hedonic price model, transit-oriented development, data mining

Abstract

The increase in the number of train ridership in Jakarta induced the government in constructing more rail infrastructures for example Light Rail Transit as a new option. However, this project is not supported by sufficient funds. Therefor new funding sources are needed to include all process which comprises of development, operation, and maintenance. Land Value Capture modeling is one of such solutions because it refers to the idea that all portions of land which arises from the presence of public infrastructure need to be returned. This research was carried out to obtain hedonic price modeling as a basic reference in capturing land values, by identifying variables that affect the increase of residential property prices obtained using big data approach and web scraping techniques. The result acquired from scraping Lamudi.co.id and Rumah.com websites was 1,237 properties located in South Jakarta. Furthermore, by plotting ArcGIS, 105 data located in catchment areas about 1 km from LRT line Dukuh Atas-Cawang station were obtained following Transit-Oriented Development (TOD) standard. According to the calculated SPSS, the increase in residential property value was approximate to the mall and CBD area with significant values of 0.845 and 0.819, which indicate a highly potent correlation.

Downloads

Download data is not yet available.

Author Biographies

Mohammed Ali Berawi
Google Scholar

Department Civil Engineering Department, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia

Lusi Aprianti
Google Scholar

Department Civil Engineering Department, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia

Gunawan Saroji
Google Scholar

Department Civil Engineering Department, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia

Mustikasari Sari
Google Scholar

Department Civil Engineering Department, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia

Perdana Miraj
Google Scholar

Department Civil Engineering Department, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia

Amy A. Kim
Google Scholar

Department of Civil and Environmental, University of Washington, Seattle, WA 98195, United States

Downloads

Published In
Vol 24 No 4, Jul 31, 2020
How to Cite
[1]
M. A. Berawi, L. Aprianti, G. Saroji, M. Sari, P. Miraj, and A. A. Kim, “Land Value Capture Modeling in Residential Area Using Big Data Approach Method”, Eng. J., vol. 24, no. 4, pp. 249-259, Jul. 2020.
Cited By
Find in Google Scholar

Authors who publish with Engineering Journal agree to transfer all copyright rights in and to the above work to the Engineering Journal (EJ)'s Editorial Board so that EJ's Editorial Board shall have the right to publish the work for nonprofit use in any media or form. In return, authors retain: (1) all proprietary rights other than copyright; (2) re-use of all or part of the above paper in their other work; (3) right to reproduce or authorize others to reproduce the above paper for authors' personal use or for company use if the source and EJ's copyright notice is indicated, and if the reproduction is not made for the purpose of sale.

Most read articles by the same author(s)