标题： 受限几何网络中的行人流量：大学校园中可访问性的熵度量和鲁棒性 显示英文标题

标题： Pedestrian fluxes in confined geometric networks: entropic measures and robustness of accessibility in a university campus

摘要： 在讨论城市生活时，行人对所有主要服务的可达性对于促进社会互动、推广健康生活方式和减少污染至关重要。 这一点在像大学校园这样的连贯城市集聚区中尤为重要，这些区域具有高密度的道路和社会设施。 我们使用Wi-Fi数据，研究一个代表大学校园路径的受限几何网络中的行人移动情况。 我们估计网络中每条边的拥挤程度，并识别所有可能路径上的行人流量，测量网络的熵和鲁棒性。 特别是，我们计算通过使用Wi-Fi数据获得的信息增益，并评估在移除单个边后行人交通在网路内的重新分布情况。 我们的结果可用于促进对大学校园当前步行性的调查，同时测试一组用于分析城市复杂网络的方法，有可能帮助我们确定急需道路维护和改善的区域。 显示英文摘要

摘要： When discussing urban life, pedestrian accessibility to all main services is crucial for fostering social interactions, promoting healthy lifestyles, and reducing pollution. This is especially relevant in coherent urban agglomerations like university campuses, which feature a high concentration of streets and social facilities. Using Wi-Fi data, we study pedestrian movements within a confined geometric network representing the pathways on a university campus. We estimate the level of crowding in each arc of the network and identify pedestrian flows along all possible paths, measuring the entropy and robustness of the network. In particular, we calculate the information gain achieved through the use of Wi-Fi data and we assess how pedestrian traffic redistributes within the network after the removal of individual arcs. Our results can be used to facilitate the investigation of the current state of walkability across the university campus while also testing a set of methods for analyzing urban complex networks, potentially allowing us to pinpoint areas in urgent need of road maintenance and enhancement.