期刊
LAND
卷 11, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/land11081320
关键词
building price; LiDAR; NJOP; urban; property
资金
- Directorate of Research and Development
- University of Indonesia, under Hibah PUTI [NKB-284/UN2.RST/HKP.05.00/2022]
Economic growth and demographic advantages have contributed to the high rate of urbanization in Indonesia, although property tax revenues are currently lower than those of G20 countries. This can be partially attributed to the limited capacity of local governments in determining building values for tax calculations. The use of LIDAR mapping can help improve local tax performance by providing quick estimates of building prices.
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.
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