Data-Driven Analysis of Environmental Sustainability Practices in Modern Engineering Applications
DOI:
https://doi.org/10.69980/tjj2n890Keywords:
Environmental sustainability, modern engineering applications, data-driven analysisAbstract
The current focus on energy consumption, carbon emissions, material consumption, waste production, and resource efficiency has made environmental sustainability a key concern in engineering applications today. The present study reviews the environmental sustainability practices by adopting an information-based approach and analyzing the impact of selected engineering practices on the overall engineering sustainability practices. The study utilizes a structured quantitative dataset with 220 observations from various engineering application domains such as civil/construction, manufacturing, energy systems, transportation, environmental engineering, mechanical systems and electrical systems. The sustainability practices discussed are: energy-efficient design, renewable energy measures, sustainable materials, waste management, water management, environmental monitoring, and green technology. To analyze the relationship between sustainability practices and environmental performance, descriptive statistics, Pearson correlation analysis, multiple linear regression analysis and comparative sector-wise analysis were used. The results show that each of the selected sustainability practices has positive and significant relationships with overall sustainability performance. The regression model accounts for 91% of the variation in sustainability performance, meaning that the model has high predictive value. The highest-ranked contributions were from energy-efficient design and waste management practices, followed by sustainable materials use and renewable energy adoption. The analysis by the sectors revealed that transportation engineering and environmental engineering had improved sustainability performance compared to other sectors. Based on the above study, the conclusion can be drawn that data-driven sustainability assessment can be used to support engineering decisions with evidence, enhance environmental performance, and foster sustainable engineering practices.
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