Growth Evolving Model of Urban Logistics Network Driven by Cost and Distance

In the evolution of the urban logistics network, cost is critical and distance is very important. Taking them as driving mechanisms, this paper proposes an evolution model attempting to mimic a real urban logistics network's growth. Numerical simulations reveal that the distributions of degree and strength show good power law behavior; yet, the distribution of weight does not follow typical power-law behavior, revealing the uneven distribution of volume in the network. The nonlinear correlation between the strength and degree indicates a "rich get richer" phenomenon. Besides, the clustering coefficients, both topological and weighted, illustrate that nodes with small degree most incline to aggregate, yet those with high degree behind.