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人类流动模式与美国大都市地区经历过的党派隔离有关
Yongjun Zhang1, Siwei Cheng2, Zhi Li2,3
1Department of Sociology and Institute for Advanced Computational Science, Stony Brook University, Stony Brook, USA. Yongjun.Zhang@stonybrook.edu.
Scientific reports
|June 16, 2023
概括
日常活动揭示了美国政治中的党派隔离,与种族或收入分歧不同. 这种隔离在住宅区较高,但当人们访问社区以外的地方时较低.
科学领域:
- 政治地理学 政治地理学
- 计算社会科学 计算社会科学
- 城市研究 城市研究
背景情况:
- 在住宅环境中,党派分类得到了充分记录.
- 有限的研究存在于日常活动空间中的党派隔离.
- 空间计算和GPS数据的进步使新的移动分析成为可能.
研究的目的:
- 用移动数据测量活动空间中经历过的党派隔离.
- 区分党派分离与种族和收入分离.
- 探索影响经历过党派隔离的因素.
主要方法:
- 利用智能手机的全球定位系统 (GPS) 数据来跟踪日常的移动流量.
- 根据参观者组成,测量了地方层面的党派隔离.
- 根据参观的地点,评估的社区层面经历了党派隔离.
主要成果:
- 经验丰富的党派隔离因地理,地点类型和时间而异.
- 党派分离与种族和收入分离是不同的.
- 在住宅区以外的活动空间中,隔离较低,但住宅和活动隔离是相关的.
- 在黑人,自由派,低收入,非移民,依赖交通和市中心社区中,有更高的党派隔离.
结论:
- 每天的移动模式显示了活动空间中的重大党派隔离.
- 这种隔离受到社区特征和地理背景的影响.
- 了解活动空间隔离为政治两极分化提供了新的见解.
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