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In freight transport models, freight generation is the stage which estimates the amount of cargo generated or attracted by establishments or by geographic zones. The literature distinguishes two classes of models: on the one hand Freight Generation (FG) and Freight Attraction (FA) models, which are the production and attraction of cargo measured in tonnage (or volume), on the other hand Freight Trip Production (FTP) and Attraction (FTA) models, which regard the number of vehicle movements (Holguin-Veras et al. 2014).Generation models can be estimated with aggregate or disaggregate data. Disaggregate data is interesting because it avoids aggregation biases. It also allows, in some cases, to investigate the influence of variables which only make sense at the disaggregate level, or the presence of non-linear effects. Finally, disaggregate models can be a good basis to disaggregate aggregate data (for example, regional freight data could be disaggregated to the city level with the appropriate establishment dataset and a reliable disaggregate generation model).The estimation of disaggregate generation models requires disaggregate data at the establishment level. This data is obtained through surveys targeted at business establishments, such as commodity flow surveys. Establishments are typically described by the economic activity sector, economic size (workforce or turnover), location, and type (offices, plant, warehouse, etc.). Variables about production,

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