  Cities consist of infrastructure that enables transportation, which can be
considered as topology in abstract terms. Once cities are physically organized
in terms of infrastructure, people interact with each other to form the values,
which can be regarded as the meta-information of the cities. The topology and
meta-information coevolve together as the cities are developed. In this study,
we investigate the relationship between the topology and meta-information for a
street network, which has aspects of both a complex network and planar graph.
The degree of organization of a street structure determines the efficiency and
productivity of the city in that they act as blood vessels to transport people,
goods, and information. We analyze the topological aspect of a street network
using centralities including the betweenness, closeness, straightness, and
information. We classify the cities into several groups that share common
meta-information based on the centrality, indicating that the topological
factor of the street structure is closely related to meta-information through
coevolution. We also obtain the coevolution in the planned cities using the
regularity. Another footprint is the relation between the street segment length
and the population, which shows the sublinear scaling.
