  Urban morphology and socioeconomic aspects of cities have been explored by
analysing urban street network. To analyse the network, several variations of
the centrality indices are often used. However, its nature has not yet been
widely studied, thus leading to an absence of robust visualisation method of
urban road network characteristics. To fill this gap, we propose to use a set
of local betweenness centrality and a new simple and robust visualisation
method. By analysing 30 European cities, we found that our method illustrates
common structures of the cities: road segments important for long-distance
transportations are concentrated along larger streets while those for short
range transportations form clusters around CBD, historical, or residential
districts. Quantitative analysis has corroborated these findings. Our findings
are useful for urban planners and decision-makers to understand the current
situation of the city and make informed decisions.
