The Role of The Structural Factor in The Land Value Spatial Model : A Case Study of Surabaya City, Indonesia

Hening Widi Oetomo

Abstract

Theinstillation of GIS in the land property evaluation sector in Indonesia, is still at its early stage. Theproperty taxation department has been using GIS in producing property taxation data since 1996, its main task being suppl ying computer-generated maps (Dirjen Cukai, 1998). Spatial analysis which is the strength of GIS remains to be practised. The land value spatial model is a model that assesses the value of land based on spatial treatments which have been identified as influencing thevalue of land. Generally there are 4 treatments influencing thevalue of land i.e. the structural factor, the neighbourhood factor, the location factor and the timefactor. Spatial analysis is needed toproduce mapsfrom these treatments inorder tochurn out spatial data. Thespatial analysis inneed are reclassification, overlapping, length and distance measurement, neighbourhood and network analysis. Furthermore, statistical analysis is needed toform a spatial model. This studyfocuses on a solefactor that is the stuctural factor in influencing the value of land. Thestructural factor includes both physical and land usage treatments. Thephysical factor to be included in this study are the area, thefront width, the direction and the shape.. There are 148 land transaction lots used inshaping the spatial model. This working paper attempts toexamine the level of influence of the physical treatments on the land value in the area studied.

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References

Brondino, N. C.M. & Silva, A. N. R. 1998. Combining Artificial Neural Networks and GISfor Land Valuation Purposes:. India :Proceedings of the Computers in Urban Planning and Urban Management.

Castle, G.H. 1992. Erofit of GIS Real Es­ tate. California: Wesley Publishing Co.

Direktorat Jendral Cukai. 1998. Sistem Pengurusan Maklumat Objek Cukai (SISMIOP).Jakarta: Direktorat Cukai Bumi dan Bangunan.

Dowall, D. E & Leaf, M. 1991. The Price of Land for Housing in Jakarta. Urban Studies 28:707-722

Farber S. 1986. Market Segmentation and the Effects on Group Homes for the Handicapped on Residential Harta Values. Urban Studies 23:519-525

Haines, R. & Chopping, M.1996. Quan­ tifying Landscape Structure :A review of Landscape Indices and Their Appli­ cation to Forested Landscapes. Physical Geografi 20: 418-445

Hair, Joseph F. Jr., Anderson, R.E, Ta­ tham, R.L. & Black W. C.1995. Multivariate Data Analysis with Readings. USA:Prentice-Hall, Inc. 23

Hellman, D. A. & Naroff, J. L.1979. The Impact of Crime on Urban Residential Harta Values.Urban Studies 16: 105-112

Nelson A. C. 1993. Disamenity Influences of Edge Cities on Exurban Land Values: A Theory with Empirical Evidence and Policy Implications. Urban Studies30: 1683-1690.

Ratcliff, R.U. 1972. Urband Land Econo­ mics. USA :McGraw-Hill,

Ruslan R & Noresah M.S. 1998. Sistem Maklumat Geografi. Kuala Lumpur : Dewan Bahasa dan Pustaka,

Wyatt, P. 1996. Practice Paper:U sing a Geographical Information System for Property Valuation.Property Valua­ tion and !nvestm en t l :14-20.

DOI

https://doi.org/10.21107/rekayasa.v1i2.2185

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