Environmental performance assessment in the transport sector using nonparametric frontier analysis: A systematic literature review

A Hatami-Marbini, John Otu Asu, Pegah Khoshnevis

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

The increasing environmental issues relating to carbon dioxide emissions are a primary concern globally and have triggered excessive research to investigate possible ways to reduce such emissions, especially in the transport sector, as initiated by Sustainable Development Goal (SDG) 13. This study investigates the importance of the nonparametric frontier analysis methodology, particularly Data Envelopment Analysis, in measuring environmental performance in the transport sector, emphasising how EU countries are working on meeting the recommendations of SDG 13. Researchers and policymakers have indisputably identified the transport sector as the primary source of global emissions. This paper aims to underline the significant environmental trends in the transport sector, including research topics, key works, research methods, future research direction, and recommendations to explore possible global or regional research agendas. In this regard, we mainly focus on various techniques used to measure the environmental performance within the transport sector. This research considers 186 articles from 46 journals. The survey's main findings show the ever-increasing attention paid to studying the transport sector's emissions, emphasising road and passenger car CO2 emissions as the major source of emissions in the transport sector. In the existing literature, the top three frequently adopted methodologies for measuring environmental performance in transportation include Data Envelopment Analysis, emission analysis, and simulation. This study shows research gaps and future directions on environmental performance assessment within the transport sector, particularly maritime and aviation.
Original languageEnglish
Article number109968
Number of pages22
JournalComputers and Industrial Engineering
Volume189
Early online date29 Feb 2024
DOIs
Publication statusPublished - 1 Mar 2024

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