Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation
One of the approaches gaining ground in policy design is the implementation of combinations of policy measures as policy packages with the aim of increasing efficiency and effectiveness of the designed policies. In this paper, we describe the recent advancements in the developments of a virtual envi...
Saved in:
Main Authors: | , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2014
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soss_research/1859 https://ink.library.smu.edu.sg/context/soss_research/article/3116/viewcontent/TowardsProactiveFlexibleAgent_BasedGeneration_2014.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.soss_research-3116 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.soss_research-31162017-09-12T03:16:28Z Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation TAEIHAGH, Araz Bañares-Alcántara, Rene One of the approaches gaining ground in policy design is the implementation of combinations of policy measures as policy packages with the aim of increasing efficiency and effectiveness of the designed policies. In this paper, we describe the recent advancements in the developments of a virtual environment for the exploration and analysis of policy packages. The virtual environment uses an agent-based modelling approach for the generation of different configurations of policy measures in the policy packages. The benefit of using the approach is the proactive and flexible generation of policy packages as the agents can react to the changes that occur and create packages that are more robust. The system allows faster examination of more alternatives, further exploration of the design space, and testing the effects of changes and uncertainties while formulating policies. The results demonstrate the benefit of using agent-based modelling approaches in the design of complex policies. © 2014 IEEE. 2014-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/1859 info:doi/10.1109/HICSS.2014.118 https://ink.library.smu.edu.sg/context/soss_research/article/3116/viewcontent/TowardsProactiveFlexibleAgent_BasedGeneration_2014.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University Transportation Packaging Virtual environments Libraries Analytical models Graphical user interfaces Atmospheric measurements transport policy Agent-based modelling policy packaging active transportation decision support systems virtual environments policy design policy formulation Political Science Public Affairs, Public Policy and Public Administration Transportation |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Transportation Packaging Virtual environments Libraries Analytical models Graphical user interfaces Atmospheric measurements transport policy Agent-based modelling policy packaging active transportation decision support systems virtual environments policy design policy formulation Political Science Public Affairs, Public Policy and Public Administration Transportation |
spellingShingle |
Transportation Packaging Virtual environments Libraries Analytical models Graphical user interfaces Atmospheric measurements transport policy Agent-based modelling policy packaging active transportation decision support systems virtual environments policy design policy formulation Political Science Public Affairs, Public Policy and Public Administration Transportation TAEIHAGH, Araz Bañares-Alcántara, Rene Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation |
description |
One of the approaches gaining ground in policy design is the implementation of combinations of policy measures as policy packages with the aim of increasing efficiency and effectiveness of the designed policies. In this paper, we describe the recent advancements in the developments of a virtual environment for the exploration and analysis of policy packages. The virtual environment uses an agent-based modelling approach for the generation of different configurations of policy measures in the policy packages. The benefit of using the approach is the proactive and flexible generation of policy packages as the agents can react to the changes that occur and create packages that are more robust. The system allows faster examination of more alternatives, further exploration of the design space, and testing the effects of changes and uncertainties while formulating policies. The results demonstrate the benefit of using agent-based modelling approaches in the design of complex policies. © 2014 IEEE. |
format |
text |
author |
TAEIHAGH, Araz Bañares-Alcántara, Rene |
author_facet |
TAEIHAGH, Araz Bañares-Alcántara, Rene |
author_sort |
TAEIHAGH, Araz |
title |
Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation |
title_short |
Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation |
title_full |
Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation |
title_fullStr |
Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation |
title_full_unstemmed |
Towards Proactive and Flexible Agent-Based Generation of Policy Packages for Active Transportation |
title_sort |
towards proactive and flexible agent-based generation of policy packages for active transportation |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2014 |
url |
https://ink.library.smu.edu.sg/soss_research/1859 https://ink.library.smu.edu.sg/context/soss_research/article/3116/viewcontent/TowardsProactiveFlexibleAgent_BasedGeneration_2014.pdf |
_version_ |
1770572721265049600 |