Integrating sustainability and least cost path analysis with a relative sustainability scoring index for optimal road planning
Ahmed K. Samy, Emad S. Bakhoum, Yasmeen A. S. Essawy, Khaled A. Hamdy
TL;DR
This paper introduces a new method for road planning that considers economic, social, and environmental factors to improve sustainability.
Contribution
The paper introduces a Relative Sustainability Scoring Index for holistic road planning.
Findings
The suggested road achieved a sustainability score of 0.94, higher than the current road's 0.77.
The method combines economic, social, and environmental factors for better decision-making.
Tools like QGIS, Civil 3D, and Simapro were used to evaluate and design the road.
Abstract
Achieving sustainability in road construction is increasingly critical, yet traditional methods often focus solely on economic factors, creating a significant research gap in the holistic assessment of the three pillars of sustainability: economic, social, and environmental. The purpose of this research is to develop a ‘Relative Sustainability Scoring Index’ (RSSI) that addresses this gap. The research motivation stems from the need for a comprehensive tool that aligns with defined sustainability criteria. Therefore, it aims to quantitatively evaluate road projects, enabling a more robust understanding of the sustainability implications associated with various route planning strategies. The methods employed include the simple additive weight method, informed by expert input through fuzzy logic, and the application of Least Cost Path Analysis in QGIS to generate a suggested route. Civil…
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Taxonomy
TopicsEnvironmental and Social Impact Assessments · Multi-Criteria Decision Making · Urban Transport Systems Analysis