A network model of freight data with spatial dependence

Aurélien Hazan (1, 2)

1 UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12
2 CAMS - Centre d'Analyse et de Mathématique sociales

In this paper we analyze the origin-destination matrix arising from freight flows that occur in single-mode transport networks and compare unbiased maximum-entropy models of the corresponding networks. An original model based on earlier results allows to reconstruct a weighted network, from degree and strength sequences, taking distances into account. As an application, the properties of the European railroad freight are analyzed in detail in year 2010, with a focus on spatial effects.

Mots clés: rail; freight; maximum entropy; null model; spatial network

Domaines: Complexité [cs.CC]; Physique et Société [physics.soc-ph]; Mécanique statistique [cond-mat.stat-mech]

Aurélien Hazan. A network model of freight data with spatial dependence. Journal of Complex Networks, 2020, ⟨10.1093/comnet/cnaa032⟩. ⟨hal-02872251⟩