城市活力中的时空性别差异
Spatiotemporal gender differences in urban vibrancy
AI总结：
该研究利用意大利七大城市手机呼叫详细记录数据，通过空间模型分析城市特征对男女活力差异的直接与溢出效应，揭示了性别差异与兴趣点、交通网络及正负空间溢出的关联，为促进城市公平提供依据。
摘要：
城市活力是指人类在城市地点中进行的动态活动。它可能随城市特征和人类互动机会而变化，但也可能因城市居民在不同社会环境中以及跨社会环境的基础社会条件而有所不同。不同人口群体体验城市方式的这种异质性，有可能因居民偏好、可达性与机会以及大规模流动行为的差异而导致性别隔离。然而，传统研究未能充分捕捉到对以下问题的高频理解：城市活力如何与城市特征相关联，这种关联在不同性别之间可能有何不同，以及这可能如何影响城市中的隔离。我们的结果表明：（1）男性和女性在城市活力方面存在差异；（2）这些差异与“兴趣点”以及交通网络有关；（3）每个城市都存在正向和负向的“空间溢出效应”。为此，我们采用一种利用呼叫详细记录数据的定量方法——借助手机近乎无处不在的使用——获取意大利七个最著名城市中空间行为的高频观测。我们使用空间模型比较方法来分析城市特征对男女差异的直接效应和“溢出”效应。我们的结果增进了我们对城市中不平等的理解，以及我们如何使未来城市更加公平。
英文摘要：
Urban vibrancy is the dynamic activity of humans in urban locations. It can vary with urban features and the opportunities for human interactions, but it might also differ according to the underlying social conditions of city inhabitants across and within social surroundings. Such heterogeneity in how different demographic groups may experience cities has the potential to cause gender segregation because of differences in the preferences of inhabitants, their accessibility and opportunities, and large-scale mobility behaviours. However, traditional studies have failed to capture fully a high-frequency understanding of how urban vibrancy is linked to urban features, how this might differ for different genders, and how this might affect segregation in cities. Our results show that (1) there are differences between males and females in terms of urban vibrancy, (2) the differences relate to `Points of Interest` as well as transportation networks, and (3) that there are both positive and negative `spatial spillovers` existing across each city. To do this, we use a quantitative approach using Call Detail Record data--taking advantage of the near-ubiquitous use of mobile phones--to gain high-frequency observations of spatial behaviours across the seven most prominent cities of Italy. We use a spatial model comparison approach of the direct and `spillover` effects from urban features on male-female differences. Our results increase our understanding of inequality in cities and how we can make future cities fairer.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
