Multi-region Electoral Districting using GIS-A Case Studies of Zhanghua County

碩士 === 華梵大學 === 資訊管理學系碩士班 === 102 === The Constitution of Republic of China gives people right to vote the President, legislators, city/county mayors, and city/county council members. We, in Taiwan, have done such elections numerous times during the past decades. The election districts have also bee...

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Bibliographic Details
Main Authors: Min-Nan, Yang, 楊敏男
Other Authors: Cheng-Yuan Tang
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/64406879336148588471
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Summary:碩士 === 華梵大學 === 資訊管理學系碩士班 === 102 === The Constitution of Republic of China gives people right to vote the President, legislators, city/county mayors, and city/county council members. We, in Taiwan, have done such elections numerous times during the past decades. The election districts have also been changed several times during the past decades. It can be seen that the voting behavior and the electoral districting are coupled and inseparable. Previous studies have proposed many electoral districting methods, such as genetic algorithms, computational geometry, bi-partitioning, etc. Every method has its advantages and contributions. However, due to the limitations of the computation environments, it is hard to discuss the multi-region electoral districting thoroughly. In this thesis, we proposed a mechanism for electoral districting through controlling the population errors as well as the shape of the electoral districts. By using the concept of “indivisible region”, the districted results become more reasonable. Combining with the administrative boundaries, natural boundaries, population, and spatial information, we can use the geographic information system software to present our districting results. Not only can present our results quantitatively but also present them spatially and systematically. We use Zhanghua County as an example to illustrate our mechanism and compare our results with the Central Election Commission’s results. Through the history voting behaviors, we can predict the possible future election outcomes.