TY - JOUR
T1 - Efficiency and Equity Tradeoffs in Voting Machine Allocation Problems
AU - Wang, Xinfang Jocelyn
AU - Yang, Muer
AU - Fry, Michael J.
N1 - Publisher Copyright:
© 2015 Operational Research Society Ltd. All rights reserved.
PY - 2014/11/12
Y1 - 2014/11/12
N2 - Efficiency and equity are the two crucial factors to be considered when allocating public resources such as voting machines. Existing allocation models are all single-objective, focusing on maximizing either efficiency or equity despite the fact that the actual decision-making process involves both issues simultaneously. We propose a bi-objective integer program to analyse the tradeoff between the two competing objectives. The new model quantifies the sacrifice in efficiency in order to achieve a certain improvement in equity and vice versa. Using data from the 2008 United States Presidential election in Franklin County, Ohio, we demonstrate that our model is capable of producing significantly more balanced allocation plans, in terms of efficiency and equity, than current practice or other competing methods.
AB - Efficiency and equity are the two crucial factors to be considered when allocating public resources such as voting machines. Existing allocation models are all single-objective, focusing on maximizing either efficiency or equity despite the fact that the actual decision-making process involves both issues simultaneously. We propose a bi-objective integer program to analyse the tradeoff between the two competing objectives. The new model quantifies the sacrifice in efficiency in order to achieve a certain improvement in equity and vice versa. Using data from the 2008 United States Presidential election in Franklin County, Ohio, we demonstrate that our model is capable of producing significantly more balanced allocation plans, in terms of efficiency and equity, than current practice or other competing methods.
KW - Efficiency-equity tradeoff
KW - Efficient allocation
KW - Public service
KW - Voting operations
UR - https://digitalcommons.georgiasouthern.edu/logistics-supply-facpubs/39
UR - https://link.springer.com/article/10.1057/jors.2014.107
U2 - 10.1057/jors.2014.107
DO - 10.1057/jors.2014.107
M3 - Article
VL - 66
JO - Journal of Operational Research Society
JF - Journal of Operational Research Society
ER -