Sustainability assessment approaches for intelligent transport systems: the state of the art

Ben Kolosz*, Susan Grant-Muller

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


The appraisal of intelligent transport systems (ITS) has become increasingly important in order to capture their full range of potential impacts. This study aims to assess the appropriateness of conventional transport appraisal models and tools for this task, particularly in reflecting the environmental and socio-economic impacts of ITS. These include the most common environmental systems analysis tools (ESATs), which incorporate international standards and are of considerable importance in indicating sustainability. A review of how emerging methods relate to the goal of a successful transition to a low carbon future is reported, based on the literature. The appraisal of ITS is inherently uncertain due to the decentralised nature of information communication technology; therefore, a range of methods to capture this aspect are reviewed. The models, weights and methods are analysed concerning their ability to estimate sustainability performance, given the numerous configurations of ubiquitous technology that may comprise ITS services. Weighting methods are important in reflecting perceptions of how sustainability should be assessed. These can be incorporated by identifying, classifying and selecting one or more ESAT's based on their suitability for a particular application. Finally, recommendations are given on which tools can be integrated to more comprehensively reflect the performance of ITS.

Original languageEnglish
Pages (from-to)287-297
Number of pages11
JournalIET Intelligent Transport Systems
Issue number5
Publication statusPublished - Jun 2016

ASJC Scopus subject areas

  • Transportation
  • Environmental Science(all)
  • Mechanical Engineering
  • Law


Dive into the research topics of 'Sustainability assessment approaches for intelligent transport systems: the state of the art'. Together they form a unique fingerprint.

Cite this