GIS and Fuzzy Logic Approach for Providing Land Value Information: A Case Study in Hanoi City

Land value plays a vital role in the success of land distribution processes. Land valuation is a process of assessing and synthesizing elements of land related to land prices, which help the government to plan tax and real estate market policies. However, current land prices are issued by the People’s Committees of Hanoi city, mainly based on location and route factors, and not on a combination of factors affecting land values. Therefore, in this study, nine factors impacting land values were generalized into three groups including (1) public services factors, (2) environmental factors, and (3) socio-cultural factors. Thereafter, a case study using geography information system and Fuzzy logic was implemented with a view to building thematic raster classes and finding the land value. The results show the distributions of land value zones in the study area, which reflect reality. Based on these findings, managers can make policy plans for land use to ensure sustainable development. Each land value is assigned to a definite plot of land and will be available to the public via e-government.