像洋葱一样的城市?布拉格和华沙选举地理个案研究

Q3 Social Sciences
Daniel Kerekes
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引用次数: 0

摘要

像洋葱一样的城市?布拉格和华沙选举地理案例研究。对城市地区的选举地理研究表明,市中心及其周边地区的投票行为存在差异。最近对布拉格选举地理的一项探索性研究发现,距离市中心的距离是最能解释选票空间变化的变量,选票空间变化可能遵循同心模式,因此,它建议在城市社会学中寻求理论解释,例如在城市的伯吉斯模型中。根据这一建议,我比较了华沙和布拉格两个城市的投票行为空间模式。使用成分分析,我将分析的变量数量减少到每个城市一个,代表主要的空间两极分化。在布拉格,投票行为显示出市中心、内郊和远郊之间的区别。虽然市中心和远郊是保守的,但内郊倾向于投票给左翼。这部分遵循了Burgess模型。另一方面,华沙的选举地理呈现出不同的结构。在这篇文章中,我提出了一种在地图中可视化城市选举数据的方法,以避免因多边形大小不同而造成的失真。《社会学2020》,第52卷(第3期:245-272)https://doi.org/10.31577/sociologia.2020.52.3.11
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The City as an Onion? Case Studies of Electoral Geography in Prague and Warsaw
The City as an Onion? Case Studies of Electoral Geography in Prague and Warsaw. Electoral geographical research into urban territories shows a distinction in voting behaviour between a city centre and its surroundings. A recent exploratory study of the electoral geography of Prague found that distance from the city centre was the variable that best explained the spatial variation of votes, which might follow a concentric pattern and, thus, it recommended seeking a theoretical explanation in urban sociology, e.g. in the Burgess model of the city. Following this recommendation, I compared spatial patterns of voting behaviour in two cities – Warsaw and Prague. Using component analysis, I reduced the number of analysed variables to one for each city representing the main spatial polarisation. In Prague, voting behaviour showed a distinction between the city centre, inner suburbs and outer suburbs. While the city centre and the outer suburbs were conservative, the inner suburbs tended to vote for the left. This partially follows the Burgess model. On the other hand, the electoral geography of Warsaw showed a different structure. In this article I present a way of visualising urban electoral data in maps that avoid distortion caused by varying polygon size. Sociológia 2020, Vol. 52 (No. 3: 245-272) https://doi.org/10.31577/sociologia.2020.52.3.11
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来源期刊
Sociologia, Problemas e Praticas
Sociologia, Problemas e Praticas Social Sciences-Social Sciences (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
23
审稿时长
16 weeks
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