  Revealing the structural properties and understanding the evolutionary
mechanisms of the urban heavy truck mobility network (UHTMN) provide insights
in assessment of freight policies to manage and regulate the urban freight
system, and are of vital importance for improving the livability and
sustainability of cities. Although massive urban heavy truck mobility data
become available in recent years, in-depth studies on the structure and
evolution of UHTMN are still lacking. Here we use massive urban heavy truck GPS
data in China to construct the UHTMN and reveal its a wide range of structure
properties. We further develop an evolving network model that simultaneously
considers weight, space and system element duplication. Our model reproduces
the observed structure properties of UHTMN and helps us understand its
underlying evolutionary mechanisms. Our model also provides new perspectives
for modeling the evolution of many other real-world networks, such as protein
interaction networks, citation networks and air transportation networks.
