Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
9-2010
Abstract
The increased complexity in our socio-economical systems requires the development of new tools to support a better understanding of the intricacies involved in addressing problems associated with such systems. We believe that by introducing a systematic approach for exploring alternative policies we can improve the decomposition of these problems, decrease the required time for analysis and formulate more effective polices. A case in policy formulation and analysis in the transport sector for achieving CO2 emission targets in the UK is presented; this solution is based on a previously proposed framework (Taeihagh et al., 2009a). The results obtained from the analysis of policy measures and their relations are used in the formulation of policy alternatives (packages and clusters) through the application of agent-based modelling. The results have the potential to further promote the use of computational approaches in the formulation of polices through the development of software systems that can support the design of policies for different sectors and geographical scopes.
Keywords
Policy design, policy formulation, agent-based modelling, decision support systems, planning, network analysis and transport emission reduction
Discipline
Energy Policy | Environmental Policy | Political Science
Research Areas
Political Science
Publication
Proceedings of the European Conference on Complex Systems (ECCS2010)
Publisher
Complex Systems Society
City or Country
Lisbon University Institute, Portugal
Citation
TAEIHAGH, Araz and Bañares-Alcántara, René, "A Case Study in the Application of an Agent-Based Approach in the Formulation of Policies for UK Transport Emission Reduction" (2010). Research Collection School of Social Sciences. Paper 1852.
https://ink.library.smu.edu.sg/soss_research/1852
Available at: https://ink.library.smu.edu.sg/soss_research/1852
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://ssrn.com/abstract=2707009