By Uwe Clausen, Hanno Friedrich, Carina Thaller, Christiane Geiger
This contributed quantity comprises the chosen and reviewed papers of the second Interdisciplinary convention on creation, Logistics and site visitors (ICPLT) 2015, Dortmund, Germany. The topical concentration lies on financial, ecological and societal matters regarding advertisement shipping. The authors are overseas specialists and the paper assortment offers the state of the art within the box, hence making this publication a helpful learn for either practitioners and researchers.
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Additional info for Commercial Transport: Proceedings of the 2nd Interdiciplinary Conference on Production Logistics and Traffic 2015
This survey was designed to investigate the relationship between freight transport, production and supply chains, among other objectives. As a consequence, a limited number of establishments were surveyed, but a large number of variables were observed for each of them. ), as well as the total number of tons carried out or received per year, and the number of shipments sent per year. As such, this dataset offers the opportunity to statistically analyze the relationship between freight generation and many variables which are usually not observed.
Acknowledgments This study is funded by the CGDD, the public ofﬁce of sustainable development in France in the French Misnistry of Transport. The data used in this paper is supplied by the French Institut IFSTTAR, who has conducted the survey and processed the data. The authors would like to thank IFSTTAR for providing the ECHO dataset. References Baumol WJ, Vinod HD (1970) An inventory theoretic model of freight transport demand. Manage Sci 16(7):413–421 Guilbault M, Soppe M (2009) Apports des enquêtes chargeurs—Connaissance des chaînes de transport de marchandises et de leurs déterminants logistiques, Actes INRETS N°121 Holguin-Veras J, Jaller M, Sanchez-Diaz I, Wojtowicz J, Campbell S, Levinson DM et al.
It conﬁrmed that while generation and attraction work in similar ways, this is not the case of shipment frequency, which is not driven by the same economic and logistic mechanisms. Three categories of models were presented, illustrating the potential of using rich datasets to model statistically the behavior of shippers, but also the limitations of models relying on less variables. The ECHO dataset contains variables that are usually unavailable. This study examined how they impacted statistically the dependent variables.