In urban streets, the intrusion of pedestrians presents significant safety challenges. Modelling mixed pedestrian-vehicle traffic is complex due to the distinct motion characteristics and spatial dimensions of pedestrians and vehicles, making unified modelling difficult, with few studies addressing these issues. This paper employs a multi-grid cellular automata model to bridge the gap between vehicle and pedestrian models. An Improved Kerner-Klenov-Wolf (IKKW) model and a pedestrian motion model that incorporates Time-To-Collision (TTC) are introduced. Both models update the spatial motions of vehicles and pedestrians uniformly. Empirical analysis indicates that the model achieves high simulation accuracy. This model effectively illustrates the impact of pedestrian intrusion within mixed traffic scenario. The fundamental diagram of heterogeneous traffic reveals substantial differences, highlighting the effects of pedestrian intrusion on traffic flow states and identifying six phase regions in mixed traffic. Additionally, this paper examines conflicts between pedestrians and vehicles under varying speed limits and sidewalk widths, demonstrating that lower speeds and broader sidewalks significantly reduce the frequency of pedestrian-vehicle conflicts. Notably, the frequency of peak conflicts at a vehicle speed limit of 60.48 km/h is more than three times higher than at 30.24 km/h. This model offers a potential approach to studying mixed traffic flows and exhibits substantial scalability.
Network centrality measures and their correlation to mixed-uses at the pedestrian-scale
街道网络分析作为评估行人连通性及其与土地利用强度和组合的关系的工具具有吸引力;然而，由于各种理论，方法和考虑因素，在城市设计中的应用引发了一系列关于实施细节的问题，并且目前还不清楚其中哪些可能是最适用于与土地利用有关的行人尺度。此外，很难在不求助于底层算法和计算工作流程的情况下直接评估类似的不同方法。为此，cityseer-api Python包在这里用于开发，计算和比较一系列中心性方法，然后将其应用于大伦敦的Orlando Survey Open Roads数据集。中心性与高分辨率的土地使用和混合使用的措施计算从Orlando调查点的兴趣数据集相同的分析点，使用空间精确的方法，网络距离的前提位置。比较结果表明，混合使用的相关性更强的接近比介中心;分段措施往往提供略强的相关性比基于节点的等价物;加权变量提供类似于未加权版本的相关性，但具有更大程度的空间特异性;最简单路径方法在当地商业街混合用途的情况下具有优势，但不一定适用于整个地区的混合用途或土地-使用可访问性;并且将中心性度量应用于双重网络并不提供优于原始网络的切实好处。
