Parallel scaling of elite wealth in ancient Roman and modern cities with implications for understanding urban inequality

W. Christopher Carleton, Hugh Elton, Will Miranda, Isaac Work, Daniel Safarik, Ricarda Winkelmann, Manfred Laubichler, Jürgen Renn, Patrick Roberts
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Abstract

Rapid urbanization and rising inequality are pressing global concerns, yet inequality is an ancient trait of city life that may be intrinsically connected to urbanism itself. Here we investigate how elite wealth scales with urban population size across culture and time by analyzing ancient Roman and modern cities. Using Bayesian models to address archeological uncertainties, we uncovered a consistent correlation between population size and physical expressions of elite wealth in urban spaces. These patterns suggest the presence of an ancient, enduring mechanism underlying urban inequality. Supported by an agent-based network simulation and informed by the settlement scaling theory, we propose that the observed patterns arise from common preferential attachment in social networks—a simple, yet powerful, driver of unequal access to interaction potential. Our findings open up new directions in urban scaling research and underscore the importance of understanding long-term urban dynamics to chart a course toward a fairer urban future. This study carries out a scaling analysis comparing the elite wealth concentration of ancient Roman cities with modern urban centers. It found that increased wealth concentration corresponds with increased population sizes across these cities despite being separated by millennia.

Abstract Image

古罗马和现代城市精英财富的平行规模及其对理解城市不平等的影响
快速的城市化和日益严重的不平等是全球迫切关注的问题,但不平等是城市生活的一个古老特征,可能与城市化本身有着内在的联系。在这里,我们通过分析古罗马和现代城市,研究精英财富如何随城市人口规模在不同文化和时间的变化而变化。利用贝叶斯模型来解决考古上的不确定性,我们发现了城市空间中人口规模与精英财富的物理表达之间的一致相关性。这些模式表明,城市不平等背后存在着一种古老而持久的机制。在基于代理的网络模拟和定居尺度理论的支持下,我们提出观察到的模式源于社会网络中共同的优先依恋——一个简单但强大的不平等获取互动潜力的驱动因素。我们的研究结果为城市尺度研究开辟了新的方向,并强调了理解长期城市动态对于规划更公平的城市未来的重要性。本研究对古罗马城市与现代城市中心的精英财富集中度进行了尺度分析。研究发现,尽管这些城市相隔千年,但财富集中度的提高与人口规模的增加相对应。
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