Higher Polytechnic School, Universidad Francisco de Vitoria, Carretera Pozuelo a, Av de Majadahonda, Km 1.800, 28223, Madrid, Spain.
Grupo de Sistemas Complejos, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Avda. Puerta de Hierro 2-4, 28040, Madrid, Spain.
Sci Rep. 2023 Jan 17;13(1):904. doi: 10.1038/s41598-023-27979-5.
Displacements within urban spaces have attracted particular interest among researchers. We examine the journeys that happen in the Madrid Community considering 24 travel typologies and 1390 administrative areas. From an origin-destination (OD) matrix, four classes of major flows are characterised through coarse-graining: hotspot-non-hotspots, non-hotspot-hotspots, hotspots-hotspots, non-hotspot-non-hotspot. In order to make comparisons between them with respect to spatial and temporal patterns, several statistical tests are performed. The spatial activity as well as transition probabilities between administrative zones are also analysed. The mobility network's topology is examined (some parameters such as maximal connected components, average degree, betweenness, and assortativity as well as the k-cores are checked). A model describing the formation of links between zones (existence of at least one trip between them) is constructed based on certain measures of affinity between areas.
城市空间内的流动一直以来都受到研究者的特别关注。我们以马德里社区为研究对象，考察了其中的出行情况。研究共考虑了 24 种交通类型和 1390 个行政区。从起点-终点（OD）矩阵出发，通过粗粒化处理，我们将四类主要交通流分为热点-非热点、非热点-热点、热点-热点和非热点-非热点。为了比较它们之间的时空模式，我们进行了多项统计检验。我们还分析了行政区域之间的空间活动和转移概率。此外，我们还研究了移动网络的拓扑结构（检查了一些参数，如最大连通分量、平均度数、中间中心性和集聚系数以及 k-核）。我们还基于区域之间的亲和度度量，构建了一个描述区域之间形成链接（至少存在一次出行）的模型。
