Economic efficiency of methods for surveying rural infrastructure: Assessment of accuracy, cost and duration
2024
Openko, Ivan | Shevchenko, Oleksandr | Stepchuk, Yanina | Tykhenko, Ruslan | Tykhenko, Olha | Horodnycha, Anastasiia
The study delves into a pivotal realm of rural infrastructure management by scrutinizing the efficacy of diverse building survey methodologies. The assessment encompassed laser scanning, total station surveying, and smartphone-enabled LiDAR, encompassing a meticulous evaluation across key dimensions: accuracy, economic cost, and time efficiency. The overarching objective was to pinpoint the most optimal surveying approach tailored for rural landscapes, considering the delicate equilibrium between cost-effectiveness and precision. The study findings illuminate a multifaceted landscape of trade-offs inherent in these methodologies. The findings revealed that the Total Station method, utilizing the GEOMAX ZOOM 10 (2 ′′), emerged as the most expensive among the building measurement techniques, with a cost of 185.04 euros. However, it demonstrated the highest accuracy with an RMS (Root Mean Square) value of 0.0135 m. In contrast, Laser scanning employing the Leica ScanStation C10 had a cost of 149.85 euros, with an RMS value of 0.0205 m. The Lidar method using the iPhone 13 Pro, while being the third most expensive at 128.48 euros, exhibited a comparatively lower accuracy with an RMS value of 0.1694 m. By navigating the intricate interplay between economic considerations and the imperative for precise infrastructure management, this study endeavours to foster sustainable, efficient, and economically viable approaches in rural infrastructure development. The insights garnered herein endeavour to bridge the gap between precision and financial prudence, fostering a pragmatic balance in survey method selection for rural infrastructure initiatives.
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Editorial Latvia University of Life Sciences and Technologies
Este registro bibliográfico ha sido proporcionado por Fundamental Library of Latvia University of Life Sciences and Technologies