What is it about?
This study uses big data tools and linear regression to predict used car prices from features like make, age, mileage, and transmission. It also examines whether buying used cars can support sustainability by extending vehicle life and reducing new production.
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Why is it important?
It is important because fair used car price prediction helps buyers, sellers, and policymakers make better decisions in a market that many people rely on for affordable transportation. It also connects economics with sustainability by showing how extending a car’s life through resale may reduce waste, resource use, and emissions from manufacturing new vehicles.
Perspectives
The authors view used cars as both an economic necessity and a possible sustainability opportunity. Their perspective is that machine learning, specifically linear regression with big data tools, can help estimate fair used car prices, support better decisions for buyers and sellers, and encourage reuse over new production. They suggest that extending vehicle life may reduce waste, resource consumption, and emissions linked to manufacturing new cars, while also making transportation more affordable.
A'aeshah Alhakamy
University of Tabuk
Read the Original
This page is a summary of: Are Used Cars More Sustainable? Price Prediction Based on Linear Regression, Sustainability, January 2023, MDPI AG,
DOI: 10.3390/su15020911.
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