Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures
In addressing various policy problems, deciding which policy measure to start with given the range of measures available is challenging and essentially involves a process of ranking the alternatives, commonly done using multicriteria decision analysis (MCDA) techniques. In this paper a new methodolo...
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sg-smu-ink.soss_research-31152020-08-21T06:59:48Z Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures TAEIHAGH, Araz GIVONI, Moshe Bañares-Alcántara, Rene In addressing various policy problems, deciding which policy measure to start with given the range of measures available is challenging and essentially involves a process of ranking the alternatives, commonly done using multicriteria decision analysis (MCDA) techniques. In this paper a new methodology for analysis and ranking of policy measures is introduced which combines network analysis and MCDA tools. This methodology not only considers the internal properties of the measures but also their interactions with other potential measures. Consideration of such interactions provides additional insights into the process of policy formulation and can help domain experts and policy makers to better assess the policy measures and to understand the complexities involved. This new methodology is applied in this paper to the formulation of a policy to increase walking and cycling. 2013-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soss_research/1858 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3115&context=soss_research http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School of Social Sciences eng Institutional Knowledge at Singapore Management University policy formulation network analysis multiple-criteria decision analysis transport policy walking and cycling Political Science Public Affairs, Public Policy and Public Administration |
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policy formulation network analysis multiple-criteria decision analysis transport policy walking and cycling Political Science Public Affairs, Public Policy and Public Administration TAEIHAGH, Araz GIVONI, Moshe Bañares-Alcántara, Rene Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures |
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In addressing various policy problems, deciding which policy measure to start with given the range of measures available is challenging and essentially involves a process of ranking the alternatives, commonly done using multicriteria decision analysis (MCDA) techniques. In this paper a new methodology for analysis and ranking of policy measures is introduced which combines network analysis and MCDA tools. This methodology not only considers the internal properties of the measures but also their interactions with other potential measures. Consideration of such interactions provides additional insights into the process of policy formulation and can help domain experts and policy makers to better assess the policy measures and to understand the complexities involved. This new methodology is applied in this paper to the formulation of a policy to increase walking and cycling. |
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text |
author |
TAEIHAGH, Araz GIVONI, Moshe Bañares-Alcántara, Rene |
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TAEIHAGH, Araz GIVONI, Moshe Bañares-Alcántara, Rene |
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TAEIHAGH, Araz |
title |
Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures |
title_short |
Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures |
title_full |
Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures |
title_fullStr |
Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures |
title_full_unstemmed |
Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures |
title_sort |
which policy first? a network-centric approach for the analysis and ranking of policy measures |
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Institutional Knowledge at Singapore Management University |
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2013 |
url |
https://ink.library.smu.edu.sg/soss_research/1858 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3115&context=soss_research |
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