International audienceThis paper describes the survey method built to carry out the UGM survey in the Paris region. The size of the city, around 12 million inhabitants spread over a territory of 12,000 km2, and the cost constraints led us to design a specific sampling methodology based on a typology of the 1,300 Parisian municipalities. Thus it was possible to capture all the movements and main logistical behavior of the city by surveying only 1,200 establishments

International audienceThis paper discusses through modeling methods how the space is used in cities regarding urban freight transport. We will examine this question through one specific object: the loading/unloading (l/u) spaces. By comparing two fields of study (Lyon and Bordeaux in France), their actual situations and various scenarios, we will demonstrate why urban planners have to combine a large variety of solutions to improve the use of space in cities

International audienceThis paper presents a diachronic analysis of two surveys carried out in the city of Bordeaux (France). The first one was performed in 1994, the second in 2013. The interest is that the second survey followed a very similar methodology as the first one performed twenty years previously. It allows us to identify invariant parameters of the complex urban goods movements system, and also to distinguish, for the parameters that have undergone significant changes, those resulting from changes in the city and those resulting from changes in logistics

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International audienceA modelling framework to simulate Urban Goods Movements (UGMs) is presented. It is based on two models designed to estimate the road space consumption of Inter-Establishment Movements (IEMs) and End Consumer Movements (ECMs). Two kinds of evolution of the environment are considered: the long term evolution and the seasonal fluctuation of the economic activity. We then present how a scenario involving an Urban Consolidation Centre (UCC) can be modelled. First, we evaluate which movements are potentially transferable to the UCC. Then, we define a catchment area. Finally, we evaluate the efficiency of the UCC by referring to continuous approximation methods