美国城市中基于出行行为模式的经历性党派隔离

中文摘要 AI 辅助

居住和社会层面的政治倾向分类塑造了美国人的日常互动，往往限制了与对立观点的接触。在此，我们将来自美国11个大都市区的高分辨率匿名出行数据与选区级投票结果相结合，以量化和考察城市地区个体所经历的经历性党派隔离。我们发现，居住环境为政治暴露提供了强有力的基线，但经历性党派隔离也受到日常出行行为的影响，因为生活在相似居住环境中的个体，根据其日常活动规律，可能经历不同程度的党派隔离。特别是，出行距离更远的个体接触到更多政治多样化的环境，尤其是在高度隔离的区域，这表明出行范围调节了居住隔离与经历性隔离之间的关系，而探索更广泛的地点范围并不会减少党派隔离，甚至可能加剧它。此外，地点隔离在很大程度上反映了政治地理格局，但各类兴趣点具有不同的隔离模式，社区场所和社会商业场所往往吸引更多左倾访客，这反映了访问模式而非仅仅是本地可达性。我们的研究结果表明，经历性党派隔离超出了居住地理的范畴，还与构成人们日常生活的出行行为和访问模式相关。

英文摘要

Residential and social sorting along political lines structure Americans' daily interactions, often limiting encounters with opposing viewpoints. Here, we combine high-resolution anonymized mobility data from 11 major U.S. metropolitan areas with precinct-level voting results to quantify and examine individuals' experienced partisan segregation in urban areas. We find that residential context provides a strong baseline for political exposure, but experienced partisan segregation is also shaped by everyday mobility behavior, since individuals living in similar residential environments can experience different levels of partisan segregation depending on their daily routines. In particular, individuals who travel farther encounter more politically diverse environments, especially in highly segregated areas, indicating that mobility range moderates the relationship between residential and experienced segregation, while exploring a wider range of places does not reduce partisan segregation and may even reinforce it. Moreover, place segregation largely reflects political geography, yet categories of points of interest have distinct segregation patterns, with community places and social businesses tending to attract more left-leaning visitors, reflecting visitation patterns rather than local accessibility alone. Our findings show that experienced partisan segregation extends beyond residential geography and is also associated with the mobility behavior and visitation patterns that structure people's daily lives.

发表机构

• University of Trento（特伦托大学）
• Fondazione Bruno Kessler (FBK)（布鲁诺·凯斯勒基金会）
• Northeastern University（东北大学）

机构由 AI 辅助整理，请以论文原文为准。