# Introduction here is no official land valuation system in Nepal except Adhoc land valuation for compensation during land expropriation (Tuladhar, 2004) and is still the case in Nepal. The unfair procedure of land valuation and management, delayed payment of compensation, and inequitable compensation can reduce tenure security, harm public faith, and confidence in government and the rule of law. When this process is done poorly, it may leave affected people homeless, farmless, and jobless with a feeling that they suffered a grave injustice. Appeals against unfair procedure may delay the project and increase project costs that exceed the previously estimated costs (FAO, 2008). The land conflicts, such as low compensations, unfair compensations, etc. arise due to lack of reliable, consistent, transparent and efficient land valuation model for land acquisition in infrastructure development. The detailed spatial analysis of the parcel is not considered for land valuation. The current land valuation for land acquisition in developing countries, such as Nepal is done conventionally as given in Equation 1 and Equation 2, therefore, is not based on its objective analysis of geographical location. Vi=R*AREAi??????????????..?? (1) Value=?Vi???????????..?????? (2) # Objective The objective of the study is to develop the land valuation model by adopting GIS. To support the main objective, the following sub-objectives are formulated as. ? To analyses the criteria affecting land valuation for land acquisition in infrastructure development ? To integrate the knowledge of GIS in land valuation for land acquisition in infrastructure development III. # Materials and Methods The desk, and case study are followed for the research and desk study is followed by the scientific literature review in the field of geo-information science, and technology, land valuation and infrastructure development. The qualitative and quantitative research approaches were used to collect primary and secondary data in a case study area at Kathmandu Terai Fast Track Road Project in Makwanpur district, Chatiwan VDC of Nepal. Household survey, key informants' interviews, focus group discussion and field observation were conducted to collect primary data while the relevant documents such as detailed project report, property valuation document and spatial data (cadastral data, image etc.) was also collected for the study. The formula given by Glenn (1992) is used for calculating a sample of the respondents for the household data collection because it is very simple to understand, and calculate the sample. IV. # Study Area The location map of the case study area has been shown in Figure 1. # Results The results are discussed in following subsections # Weight allocated based on Analytic Hierarchy Process Analytic Hierarchy Process is an effective tool for dealing with the complex decisions by setting priorities and makes the best decision. According to Saaty (2008), it is a theory of measurement through pair wise comparisons and depends on the judgments of experts to find out a priority. Pair wise comparisons are based on forming judgments between two particular criteria rather than attempting to prioritize an entire list of criteria. Saaty (2008) has shown that weighting activities in multi-criteria decision-making can be effectively dealt with using the hierarchical structure and pair wise comparisons. An AHP aim is to obtain quantitative weights from qualitative statements on the relative performance of alternatives and the relative importance of criteria obtained from the comparison of all pairs of alternatives and criteria. As graduation scale for quantitative comparison of alternatives, the following numerical values are graduated as shown in Table 1. AHP is working with the matrix comparing each criteria to each other. The pair wise comparisons of different criteria by its importance carried out from the response of different stakeholders in Fast Track Road Project, Chattiwan VDC are mentioned in Table 2. The criteria are chosen based on (Yomralioglu & Nisanci, 2004), (Koirala et al, 2015) and from primary data collection. Similarly, the mathematical model for land valuation is: Global Journal of Researches in Engineering ( ) Volume Xx X Issue I V ersion I land valuation criteria and its weights to develop a land valuation model of land acquisition and compensation in infrastructure development. The input data are of different layers in a vector formats such as points, lines, or polygons. They are changed in raster format, and the criteria are used in the valuation process in proximity analysis. The AHP uses different combinations of criteria and weights to calculate for a combination for a weighted overlay of different criteria. 1![Figure 1: Location map of Chatiwan VDC](image-2.png "Figure 1 :") ![Xx X Issue I V ersion I E © 2020 Global Journals Adopting Geographic Information System (GIS) for Land Valuation for Infrastructure Development a)](image-3.png "") ![Vi=R *AREAi*?Wi ....................................................................................................................................................... (3) Value=?Vi???????????????????????????????????????????? (4) Where, AREAi = Area of each parcel, Wi = Factor weight calculated from weighted overlay i=1 to n, Number of each parcel, R = (0.6* Market rate + 0.4* Government rate)?????????????.(5) and Value = Total land value of each parcel.The governments valuation is taken from (Government of Nepal, 2017). The process and result of GIS overlay are shown in Figure2and Figure3.](image-4.png "") 1Extremely less important1/9Very strongly less important1/7Strongly less important1/5Moderately less important1/3Equal important1Strong more important3Moderately more important5Very strongly more important7Extremely more important9Source: (Saaty, 2008) 2Land valuation criteriaRoadSlopeBuilt upNatural environmentsSoil type5th root of productEigen vectorRoad113552.3710.360Slope113552.3710.360Built up0.3330.3331330.9980.160Natural environments (River and forest)0.20.20.333110.4190.060Soil type0.20.20.333110.4190.060SUM2.7332.7337.66615156.5781.000SUM*PV0.9830.9830.8301.1571.1575.110 3S. No.Land valuation criteria and Eigen vectorWeightage calculated from AHP1Road0.3636%3Built up0.1616%2Slope0.3636%4Natural environments (River & forest)0.066%5Soil type0.066% © 2020 Global Journals © 2020 Global Journals Adopting Geographic Information System (GIS) for Land Valuation for Infrastructure Development * Compulsory acquisition of land and compensation.FAO Land Tenure Studies Fao 2008 Food and Agriculture Organization of the United Nations Rome * Developing Land Valuation Model for Land Acquisition in Infrastructure Development SGhimire SRSharma MLengoiboni 2019 Kathmandu University PhD Thesis * Minimum land valuation book DGlenn 1992. 2017 Makwanpur District: Department of Land Reform and Management Determining sample size * Developing valuation model for transaction of residence land NKoirala SGhimire N&subedi 2015 Department of Civil and Geomatics Engineering, Kathmandu University, Nepal Master Thesis * The role of reliable land valuation systems in land management and land administration systems efficiency. Paper presented at the TS 7D -Land Valuation Case Studies I, Integrating Generations, FIG Working Week MAOmari 2008. 2008 * Decision making with the analytic hierarchy process TLSaaty International Journal of Services Sciences 1 2008 * Parcel Based Geoinformation System: concepts and guidelines AMTuladhar 2004 Enschede ITC Printing Department, ITC,the Netherlands PhD Thesis * Nominal asset land valuation techniques by GIS. Paper presented at the FIG working week TYomralioglu RNisanci 2004. 2004 Athens, Greece