Multi-criteria decision analysis of alternative fuel buses: methodology and case-study

Martin Kügemann, Heracles Polatidis*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In this paper, a Multi-Criteria Decision Analysis methodological framework is developed to rank alternative fuel buses. It is applied to the case-study of the public transportation system of the island of Gotland in Sweden. Seven alternative fuel buses are identified: bioethanol, biodiesel, biogas, plug-in hybrid electric biodiesel, plug-in hybrid electric biogas, battery electric and hybrid electric hydrogen fuel cell buses. These alternatives are evaluated under 11 criteria that are categorized under four dimensions and measured under a Life Cycle Sustainability Analysis approach where possible. The ranking is accomplished by means of the weighted summation method; weights are determined through the Analytic Hierarchy Process. Explicit weights on these criteria provided by local experts and stakeholders are used to evaluate the alternatives under various island-specific scenarios. Results show that biogas and plug-in hybrid electric biogas buses are the preferred alternatives as long as biogas is produced from waste residuals; otherwise, the import of biodiesel could be the preferred short-term alternative. Bioethanol appears to be the least suitable fuel. The developed methodological framework proved helpful to the local authorities of Gotland when they sought to identify the best compromise fuel bus solution and has shown that it can be applied in similar case-studies.
Original languageEnglish
Number of pages21
JournalInternational Journal of Green Energy
DOIs
Publication statusE-pub ahead of print - 1 Feb 2024

Keywords

  • Alternative fuel buses
  • Multi-criteria Decision Analysis (MCDA)
  • Analytic Hierarchy Process (AHP)
  • Life Cycle Sustainability Analysis (LCSA)
  • public transportation
  • Gotland Sweden
  • SUSTAINABLE URBAN-TRANSPORTATION
  • LIFE-CYCLE ASSESSMENT
  • SELECTION
  • HYBRID
  • COST
  • ELECTRICITY
  • SYSTEM
  • INDICATORS
  • FRAMEWORK
  • CRITERIA

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