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n Journal of Emerging Trends in Economics and Management Sciences - Application of simulation model as a strategic option for determining the amount of time required by an average voter to cast vote

Volume 2, Issue 2
  • ISSN : 2141-7024
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Abstract

Since the return to civil rule in Nigeria in 1999, the country has organised two general elections and numerous re-run elections at different levels..In general, they were followed by series of litigations at various courts, for diverse allegations, including multiple-voting, inflation of figures and return of figures without voting. This paper proposes operations research models (simulation) for voting time in Nigeria in order to enhance the credibility of election results, avoid long and fruitless litigations and determine a priori the optimum time required by an average voter to cast his/her vote. It also discusses the optimum number of voter that can be handled by election officials within the stipulated period. Models were built on three samples/categories of voters, namely : aged people, illiterate youth and educated youth. From the modelsâ?? results, random numbers were generated for each voting activity, as laid down by the election umpire in order to experiment on each group of voters. Simulation run and pooled mean were used for the computational experiments to arrive at an average time in seconds out of allotted time for voting on the day of election. The result of the experiment revealed that only 122 voters out 500 voters registered per polling booth could possibly cast their vote, considering the 28800 seconds available for voting on each election day, while an average voter is expected by the simulation run output to cast his/her vote within 236.05 seconds. This result thus provides a basis for assessing the outcome of the forthcoming general elections. It will also guard against the inflation of election results and return of election results without voting, thereby reducing litigations in respect of election rigging.

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/content/sl_jetems/2/2/EJC133894
2011-04-01
2019-09-22

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