Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City

Randhi Atiqi, Muhammad Dimyati (), Ahmad Gamal and Rizki Pramayuda
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Randhi Atiqi: Geography Department, Faculty of Mathematic and Natural Sciences, University of Indonesia, Depok 16424, Indonesia
Muhammad Dimyati: Geography Department, Faculty of Mathematic and Natural Sciences, University of Indonesia, Depok 16424, Indonesia
Ahmad Gamal: Architecture Department, Faculty of Engineering, University of Indonesia, Depok 16424, Indonesia
Rizki Pramayuda: Geography Department, Faculty of Mathematic and Natural Sciences, University of Indonesia, Depok 16424, Indonesia

Land, 2022, vol. 11, issue 8, 1-15

Abstract: Economic growth and its demographic benefits have enhanced the high rate of urbanization in Indonesia, although property tax revenues are still low compared to G20 countries. This low performance is partly due to the limited capacity of local governments, regarding the determination of building values for tax calculations. To improve local government tax performance, LIDAR mapping is capable of being used for quickly estimating the price of a building. Therefore, this study aimed to determine the patterns by which the spatial differences in building price values influence the tax databases and LiDAR mapping results. Based on this mapping process, the present building site size in high-density housing areas was on average 1.66-times larger than those in the Depok City Government tax database. Meanwhile, the sites in medium-density housing and trade/service areas were 1.35- and 1.08-times wider, respectively. Using a LiDAR 3D model, the observed level of construction was much higher in the highly-urbanized area compared to the price in the Depok City Government tax database. This was based on the construction cost of a building per square meter. Regarding these results, the building prices in high- and medium-density areas, as well as the trade/service area, were nine, six, and three-times higher, respectively.

Keywords: building price; LiDAR; NJOP; urban; property (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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