Abstract

Land pricing is a routine yet important task in the state management of land parcels. Price of land parcels is the basis to determine land use tax and any other financial obligations concerning land use. Land prices are separately regulated for urban and rural regions. Then in each region, land prices are set specifically for each main street. At each main street, prices are set for four different position categories. Land position is determined based on the distance from a land parcel to the main street that the land parcel belongs to. In current practice, there are two methods to determine such a distance. One calculates the distance by accumulating walking distances along actual roads to access a particular land parcel from the main street. The other method uses the shortest distance from the land parcel to its main street. In each province or city the number of land parcels to be priced is huge therefore it is a terribly time consuming task if its administrative staffs have to manually measure distances, categorize position of land parcels, and assign prices accordingly. In addition, manually assigning position category to each land parcel is prone to produce error. Aiming to reduce these burdens for government staffs, a computational model is designed to determine position category of each land parcel based on its spatial relationship with the road and alley allowing access to the parcel. The model is built based on a selected combination of fundamental spatial analysis in GIS including intersection, buffering, distance measuring … Steps in the model are converted into functions in a software developed based on ArcGIS Engine and programming languages VB.NET. The model is tested using information on land parcels of Long Thanh District, Đong Nai Province of Viet Nam. The experiment results demonstrate the model’s effectiveness and efficiency in quickly and accurately pricing parcels at the test site.