Analysis of the Relationship of Land Value Zones to the Proximity of Public Facilities in Bandung City Using Geographic Information System (GIS) and Statistical Approaches
Keywords:
Zona Nilai Tanah, Keterdekatan, Fasilitas Umum, Sistem Informasi Geografis (SIG), StatistikAbstract
Land Value Zones (ZNT) are boundaries with relatively similar land values. ZNT is important for local planning and policy. Land value is influenced by physical, accessibility and social factors, with social factors being the most significant. The creation of ZNT maps uses the integration of spatial and non-spatial data with geographic information systems (GIS). Previous methods paid little attention to social factors, which can determine up to 43% of land value. This study will examine the relationship between ZNT and proximity to social factors and represented by public facilities using GIS analysis and correlation tests. Results show that there is an inverse relationship between land value and proximity to public facilities. The correlation coefficient showed a value of -0.536. In addition, this study also shows an indication that the farther the land is from the railroad, the more expensive the land. Then the closer the land is to the road, the higher the land price.
Translated with DeepL.com (free version)
References
Bencure, J.C., Tripathi, N.K., Miyazaki, H., Ninsawat, S., Kim, S.M., 2019. Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches. Sustainability 11, 3731. https://doi.org/10.3390/su11133731
Budi K, R., Kahar, S., Subiyanto, S., 2014. Pembuatan Peta Zona Nilai Tanah Dengan Pendekatan Penilaian Massal Untuk Meningkatkan Potensi PAD (Pendapatan Asli Daerah) Khususnya PBB dan BPHTB (Studi Kasus Kecamatan Banjarsari, Kota Surakarta). Jurnal Geodesi UNDIP 3.
Burrough, P.A., McDonnell, R., 2011. Principles of geographical information systems: spatial information systems and geostatistics, Repr. with corr. ed, Spatial information systems and geostatistics. Oxford Univ. Press, Oxford.
By, R.A. de, Huisman, O., 2009. Principles of geographic information systems: an introductory textbook, 4th ed. ed. The International Institute for Geo-Information Science and Earth Observation (ITC), Enschede.
Fadila, E.N., 2016. PEMBUATAN PETA ZONA NILAI TANAH PADA PENILAIAN MASSAL DENGAN PENDEKATAN DATA PASAR UNTUK MENINGKATKAN POTENSI PAD (PENDAPATAN ASLI DAERAH) KHUSUSNYA PBB. Tugas Akhir ITS.
Kok, N., Monkkonen, P., Quigley, J.M., 2014. Land use regulations and the value of land and housing: An intra-metropolitan analysis. Journal of Urban Economics 81, 136–148. https://doi.org/10.1016/j.jue.2014.03.004
Murad, A.A., 2014. Using geographical information systems for defining the accessibility to health care facilities in Jeddah City, Saudi Arabia. Geospat Health 8, 661. https://doi.org/10.4081/gh.2014.295
Patten, M.L., Newhart, M., 2018. Understanding research methods: an overview of the essentials, Tenth edition. ed. Routledge, Taylor & Francis Group, New York, NY.
Pemerintah Indonesia, 2023. Peraturan Pemerintah No. 39 Tahun 2023 Tentang Perubahan Atas Peraturan Pemerintah Nomor 19 Tahun 2021 Tentang Penyelenggaraan Pengadaan Tanah Bagi Pembangunan Untuk Kepentingan Umum.
Reimers, A.K., Wagner, M., Alvanides, S., Steinmayr, A., Reiner, M., Schmidt, S., Woll, A., 2014. Proximity to Sports Facilities and Sports Participation for Adolescents in Germany. PLoS ONE 9, e93059. https://doi.org/10.1371/journal.pone.0093059
Sastrawan, P.B., Dewi, C., Murdapa, F., 2021. Pembuatan Peta Zona Nilai Tanah Dengan Sistem Informasi Geografis Berbasis Web (Studi Kasus : Desa Kota Gajah Timur, Lampung Tengah) 1.
Silalahi, F.E.S., Hidayat, F., Dewi, R.S., Purwono, N., Oktaviani, N., 2020. GIS-based approaches on the accessibility of referral hospital using network analysis and the spatial distribution model of the spreading case of COVID-19 in Jakarta, Indonesia. BMC Health Serv Res 20, 1053. https://doi.org/10.1186/s12913-020-05896-x
