The betweenness centrality, a path-based global measure of flow, is a static predictor of
congestion and load on networks. Here we demonstrate that its statistical distribution is …

In this study we estimate urban traffic flow using GPS-enabled taxi trajectory data in
Qingdao, China, and examine the capability of the betweenness centrality of the street …

In this paper, we propose an improved network centrality measure framework that takes into
account both the topological characteristics and the geometric properties of a road network …

Betweenness centrality (BC) is widely used to identify critical nodes in a network by
exploring the ability of all nodes to act as intermediaries for information exchange. However …

Problem, research strategy, and findings City governments and planners alike commonly
seek to increase pedestrian activity on city streets as part of broader sustainability …

Traffic flow information is of great importance for transport planning and related research.
The conventional methods of automated data collection, such as annual average daily traffic …

Centrality, which originated from sociology, has been one of the most powerful measures to
describe structural properties of road networks. Among existing road centrality studies, it is …

The current flow betweenness centrality is a useful tool to estimate traffic status in spatial
networks and, in general, to measure the intermediation of nodes in networks where the …

One of the biggest challenges in modern societies is to solve vehicular traffic problems.
Sensor networks in traffic environments have contributed to improving the decision-making …

The actin cytoskeleton is an essential intracellular filamentous structure that underpins
cellular transport and cytoplasmic streaming in plant cells. However, the system-level …