Assessing Urban Freight Tours: A Machine Learning and Life Cycle Sustainability Assessment Approach for Logistics Management

IF 12.5 1区管理学 Q1 BUSINESS

Business Strategy and The Environment Pub Date : 2025-01-14 DOI:10.1002/bse.4114

Sakthivelan Chakravarthy, Aakanksha Kishore, Sathiya Prabhakaran, Marimuthu Venkadavarahan

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引用次数: 0

Abstract

The main aim of this study is to assess urban freight tours through integrating machine learning with the Life Cycle Sustainability Assessment (LCSA). The research captures supply chain operations using the Gradient Boosting Regressor (GBR) model with real‐time data from surveys and Global Positioning System (GPS) tracking. These predictions were analysed using LCSA to assess the sustainability impacts of Hydrogen Fuel Light Commercial Vehicles (HFLCVs) and Electric Light Commercial Vehicles (ELCVs) compared to traditional fuel‐based vehicles. HFLCVs show remarkable reductions in ecosystem and health damage by 58% and 61%, indicating substantial environmental and health benefits. Findings suggest that strategic investment in hydrogen‐fuel and electric LCVs can significantly decrease operational costs and environmental impacts, making them crucial for advancing sustainable urban logistics. This research highlights the benefits and possibilities of using an integrated data‐driven approach to achieve urban sustainability, thus creating an urgency to shift policies favouring green urban freight systems.

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评估城市货运旅行：物流管理的机器学习和生命周期可持续性评估方法

本研究的主要目的是通过将机器学习与生命周期可持续性评估（LCSA）相结合来评估城市货运旅游。该研究利用梯度增强回归（GBR）模型和来自调查和全球定位系统（GPS）跟踪的实时数据捕捉供应链运作。使用LCSA对这些预测进行了分析，以评估氢燃料轻型商用车（hflcv）和电动轻型商用车（elcv）与传统燃料汽车相比对可持续性的影响。hflcv显著减少了生态系统和健康损害，分别减少了58%和61%，显示出巨大的环境和健康效益。研究结果表明，对氢燃料和电动轻型汽车的战略投资可以显著降低运营成本和环境影响，使其成为推进可持续城市物流的关键。本研究强调了使用综合数据驱动方法实现城市可持续性的好处和可能性，因此迫切需要改变有利于绿色城市货运系统的政策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Business Strategy and The Environment Multiple-

CiteScore

22.50

自引率

19.40%

发文量

336

期刊介绍： Business Strategy and the Environment (BSE) is a leading academic journal focused on business strategies for improving the natural environment. It publishes peer-reviewed research on various topics such as systems and standards, environmental performance, disclosure, eco-innovation, corporate environmental management tools, organizations and management, supply chains, circular economy, governance, green finance, industry sectors, and responses to climate change and other contemporary environmental issues. The journal aims to provide original contributions that enhance the understanding of sustainability in business. Its target audience includes academics, practitioners, business managers, and consultants. However, BSE does not accept papers on corporate social responsibility (CSR), as this topic is covered by its sibling journal Corporate Social Responsibility and Environmental Management. The journal is indexed in several databases and collections such as ABI/INFORM Collection, Agricultural & Environmental Science Database, BIOBASE, Emerald Management Reviews, GeoArchive, Environment Index, GEOBASE, INSPEC, Technology Collection, and Web of Science.