Sustainable achievement efficiency of transport energy consumption based on indicator analysis

Jiang, Jin

doi:10.1111/coin.12366

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…Statistical-based weighting methods include methods like Data Envelopment Analysis (DEA) and PCA/FA. For example, Jiang (2020) weighted nine STIs using Data Envelopment Analysis (DEA) technique to compare the transport energy efficiency across various cities of North America, Europe, Asia and Australia. DEA uses a linear programming tool and is used in the performance evaluation of transportation systems (Zhou et al , 2007).…”

Section: Review Of Literaturementioning

confidence: 99%

An indicator-based integrated methodology for evaluating sustainability in transportation systems using multivariate statistics and fuzzy logic

Illahi

Mir

2021

JSTPM

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Purpose The purpose of this paper is to quantify and evaluate transport sustainability from an integrated perspective. It is argued that transportation systems being interdisciplinary and complex, the integrated approach towards quantification and evaluation would present its sustainability goals’ attainment in a much better way. Design/methodology/approach The proposed integrated methodology is divided into five major steps that are sub-divided. It adopts a three-tier classification system i.e. pillar, sub-division and indicator. In total, 116 sustainable transportation indicators (STIs) were classified into 10 subdivisions corresponding to three sustainability pillars. The weighting and aggregation of STIs were done using a combination of a statistical tool called principal component analysis/factor analysis, a machine learning tool called fuzzy logic and equal weighting method. The final output that the proposed integrated methodology generates is a new composite index called the integrated sustainable transportation index (IIST). Findings To check the credibility of the proposed integrated methodology, it was applied to 26 states and the National Capital Territory (NCT) of Delhi, India. Based on the computed IIST, 27 study zones were ranked and mapped. The results showed that while Tamil Nadu (0.643), Telangana (0.574) and Maharashtra (0.564) were the best-performing states, Goa (0.347), Chhattisgarh (0.436) and Meghalaya (0.439) were the worst-performing states, as far as the relative transportation sustainability is concerned. Practical implications The proposed integrated methodology could be useful for transportation evaluators, planners and policymakers who can recognize, track and improve the strengths and overcome the weaknesses within a transportation system. Originality/value The novelty of this research work is that it uses a multi-stage multi-tool approach to quantify and evaluate transport sustainability that minimizes the demerits of single-stage individual tools while maximizing their merits.

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Section: Review Of Literaturementioning

confidence: 99%

An indicator-based integrated methodology for evaluating sustainability in transportation systems using multivariate statistics and fuzzy logic

Illahi

Mir

2021

JSTPM

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Transport sustainability – a bibliometric, systematic methodological review and future research opportunities

Tetteh,

Owusu Kwateng,

Mensah

2024

SRT

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Purpose Over the past decade, achieving sustainability in the transport sector has become a significant concern for governments and stakeholders. In this context, this study aims to comprehensively analyse the existing literature to document contributions and methodological deficiencies and pave the way for future research. Design/methodology/approach The authors used thematic, bibliometric and methodological systematic reviews of 39 articles across 30 sources from 112 authors between 2005 and 2023. Findings Using the Biblioshiny, the bibliometric analysis unveils the top prolific authors, contributing sources, most productive countries, top-cited papers and evolving keywords in advancing transport sustainability literature streams. The analyses revealed two strands of literature (those from the composite perspective and the triple-bottom-line perspective). The authors further consolidated indicators to measure the three pillars of transport sustainability comprehensively. Originality/value This paper uses a holistic approach to provide a state-of-the-art understanding of transport sustainability useful for the net zero or sustainable transport agenda. This paper is among the few attempts to consolidate indicators to measure transport sustainability from the triple bottom line perspective, whilst also offering exciting directions for future studies and inspiring hope for a more sustainable transport sector.

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A Flexible Cross-Efficiency Model with Partial Preference for Efficiency Evaluation of Clean Transportation Energy

Li,

Wang,

Lin

2024

Int. J. Info. Tech. Dec. Mak.

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The rapid development of the transportation industry benefits from the consumption of energy, but the excessive dependence on petroleum fuels makes it a major source of air pollution. In order to achieve green and high-quality development of the transportation industry, many countries are committed to scientifically evaluating the utilization efficiency of clean energy, which has attracted wide attention from the whole society. Significantly, without considering the diversity and complexity of pollutants, indicators used in previous studies were unable to cover all pollutants when establishing the evaluation index system. Meanwhile, as an efficient tool, data envelopment analysis (DEA) is extensively used when it comes to efficiency evaluation. However, the absolute preference of existing benevolent and aggressive cross-efficiency models limits its application scenarios. To address the challenges above, an improved flexible cross-efficiency DEA model is proposed considering both same and different benevolence coefficients of decision-making units (DMUs) on the basis of pointing out the inadequacy of the previous model. The concepts of consensus coefficient and group preference are introduced in the aggregation of cross-efficiency. Besides, based on the theory of undesirable output, the consumption of nonclean energy is taken into account as the input indicator to characterize the degree of pollution. The results show that the obtained cross-efficiency value and efficiency ranking of clean transportation energy change sensitively under various benevolent coefficients. There is an important practical significance to consider the independent preference information of DMUs for the evaluation and ranking of cross-efficiency.

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Sustainable achievement efficiency of transport energy consumption based on indicator analysis

Cited by 5 publications

References 25 publications

An indicator-based integrated methodology for evaluating sustainability in transportation systems using multivariate statistics and fuzzy logic

An indicator-based integrated methodology for evaluating sustainability in transportation systems using multivariate statistics and fuzzy logic

Transport sustainability – a bibliometric, systematic methodological review and future research opportunities

A Flexible Cross-Efficiency Model with Partial Preference for Efficiency Evaluation of Clean Transportation Energy

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