
Sustainability assessment approaches for intelligent transport systems: the state of the art
Author(s) -
Kolosz Ben,
GrantMuller Susan
Publication year - 2016
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2015.0025
Subject(s) - sustainability , computer science , weighting , intelligent transportation system , task (project management) , risk analysis (engineering) , management science , process management , systems engineering , engineering , transport engineering , business , medicine , ecology , biology , radiology
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.