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Right of Way Acquisition Using Geospatial Technologies
Florence Galeon

University of the Philippines


Abstract

The acquisition of right-of-way (ROW) is essential to the implementation of government projects such as transportation infrastructure, utilities, and coastal protection. Traditional ROW processes often involve time-consuming surveys, bureaucratic delays, and disputes with property owners. This study demonstrates how geospatial technologies, specifically Geographic Information Systems (GIS), Global Navigation Satellite Systems (GNSS) and Unmanned Aerial Vehicles (UAVs), streamline ROW acquisition for government infrastructure. A seawall project in the coastal municipalities of Minalabac, Pasacao, and San Fernando in the province of Camarines Sur was used as a case example. Through spatial analysis, the project identified 45 priority segments totaling 21 km for seawall construction, significantly reducing coverage from the original 45 km, resulting in cost savings. The ROW Acquisition Plan (RAP) is divided into parcellary survey and property valuation. Real-Time Kinematic (RTK) GPS was used for accurate parcel delineation, while drone imagery and satellite data supported field inspections for asset valuation. Both land and physical improvements, such as houses and trees, were assessed to determine compensation. The total ROW area was calculated at 573,213 square meters with a land value of Php 488.4 million, equivalent to USD 8.6 million. Including other assets, the total estimated acquisition cost reached Php 881.9 million, equivalent to USD 15.5 million. These findings provide the Department of Public Works and Highways (DPWH) with a precise basis for resource allocation. Overall, the study underscores the critical role of geospatial technologies in modernizing ROW acquisition. By improving efficiency, accuracy, and transparency, these tools support faster project delivery and minimize adverse effects on affected communities.

Keywords: geospatial technologies, parcellary survey, right-of-way, seawall

Topic: Topic B: Applications of Remote Sensing

Plain Format | Corresponding Author (Florence Galeon)

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