Multi-stakeholder Preference Analysis in Ex-ante Evaluation of Policy Options - Use Case: Ultra Low Emission Vehicles in UK

Conference paper

DOI: 10.1007/978-3-319-45074-2_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9821)
Cite this paper as:
Talantsev A., Ibrahim O., Larsson A. (2016) Multi-stakeholder Preference Analysis in Ex-ante Evaluation of Policy Options - Use Case: Ultra Low Emission Vehicles in UK. In: Tambouris E. et al. (eds) Electronic Participation. ePart 2016. Lecture Notes in Computer Science, vol 9821. Springer, Cham


While the simulation-based impact assessment of public policy proposals allows policy makers to identify the feasible policy options and verify their economic, social and environmental impacts, it does not provide the explicit evaluation of policy options. Multi-criteria decision analysis (MCDA) techniques can support an in-depth performance evaluation of policy options taking into account the preferences of decision makers and stakeholders. These preferences reflect acceptable trade-offs of performance among objectives. This study reviews multi-attribute decision-making (MADM) technique and presents a common policy appraisal format using main evaluation criteria linked to a set of measurable, context dependent attributes. We argue for a rank-based approach for eliciting preferences, select a novel method for attribute weight elicitation, and show how it can be integrated within a public policy multi-criteria evaluation framework. A use case for policymaking, ‘Ultra-Low Emission Vehicles (ULEV) Uptake in UK’, is used for demonstration of the proposed approach for policy decision analysis. This approach seeks to couple systems modelling and simulation of policy scenarios with MCDA, stakeholder analysis and preference elicitation. The outputs can further provide analytical insights in controversy/acceptability of policy options, and consequently guide further policy formulation and the design of better options.


Public policy analysis Multi-criteria decision analysis Stakeholders Preference elicitation Decision support tools Ultra low emission vehicles 

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  1. 1.Department of Computer and Systems SciencesStockholm UniversityStockholmSweden
  2. 2.Department of Information and Communications SystemsMid Sweden UniversitySundsvallSweden

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