Data from: Rich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classes
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https://datadryad.org/dataset/doi:10.5061/dryad.hj1t4
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We analyse the urban mobility in the cities of Medellín and Manizales
(Colombia). Each city is represented by six mobility networks, each one
encoding the origin-destination trips performed by a subset of the
population corresponding to a particular socio-economic status. The nodes
of each network are the different urban locations whereas links account
for the existence of a trip between two different areas of the city. We
study the main structural properties of these mobility networks by
focusing on their spatio-temporal patterns. Our goal is to relate these
patterns with the partition into six socio-economic compartments of these
two societies. Our results show that spatial and temporal patterns vary
across these socio-economic groups. In particular, the two datasets show
that as wealth increases the early-morning activity is delayed, the midday
peak becomes smoother and the spatial distribution of trips becomes more
localized.
我们对哥伦比亚麦德林(Medellín)和马尼萨莱斯(Manizales)两座城市的城市流动性展开分析。每座城市由六个流动性网络(mobility network)表征,每个网络编码对应特定社会经济地位(socio-economic status)人群子集的起终点出行数据。每个网络的节点(node)为不同城市区位,而连边(link)则表示城市内两个不同区域间存在出行活动。我们通过聚焦其时空模式(spatio-temporal pattern),研究这些流动性网络的主要结构特征。我们的目标是将这些模式与两座城市社会划分为六个社会经济分区(socio-economic compartment)的情况关联起来。研究结果表明,不同社会经济分区的时空模式存在差异。具体而言,两个数据集显示,随着财富水平提升,早间活动时间推迟,午间高峰趋于平缓,且出行的空间分布更趋本地化。
提供机构:
Dryad
创建时间:
2016-09-13



