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Featured researches published by François Combes.


Transportation Research Record | 2012

Empirical Evaluation of Economic Order Quantity Model for Choice of Shipment Size in Freight Transport

François Combes

The choice of shipment size in freight transport depends on the logistical imperatives of shippers and the technical possibilities of carriers. The choice is closely related to the mode of transportation and therefore important for public policy. The theory of optimal shipment size and mode choice is robust. Numerous inventory-theoretical models of optimal shipment size are applied by shippers in operational contexts. However, none has been validated empirically over a large and heterogeneous population of shipments, and thus none are useful for modeling freight transportation demand, particularly because of the lack of adequate data. The simple economic order quantity (EOQ) model was assessed empirically on a national scale over a heterogeneous population of shipments. The French ECHO database, which observed commodity flow rates between shippers and receivers, was used to estimate the EOQ shipment size specification, and the validity of the EOQ model was confirmed. The study revealed the dominant role of the commodity flow rate between shipper and receiver and of commodity value density. The relationship between mode choice and shipment size is highlighted.


Archive | 2016

Building a Model of Freight Generation with a Commodity Flow Survey

Duy-Hung Ha; François Combes

This study estimates a disaggregate freight generation model with the French shipper survey ECHO. This survey contains accurate information about French shippers, with variables describing their economic activity, the diversity of their production, their relationships with their clients and carriers, etc. These variables and their influence on production and attraction are first investigated sequentially. Then generation models are estimated using ordinary least squares, through various approaches: continuous explanatory variables only, continuous and qualitative variables and their interactions, and finally simple models for applications with limited data availability.


Modelling Freight Transport | 2014

Inventory Theory and Freight Transport Modelling

François Combes

Inventory theory is concerned with the optimal operation of production, logistics, transport, etc. It can prove particularly useful to freight transport modelling. Indeed, analysing inventory theoretic models from a microeconomic perspective explains a lot about the preferences of shippers regarding freight transport. This chapter reminds some simple models from inventory theory, including the fundamental economic order quantity model of optimal shipment size. Then, the theoretical consequences of these models on freight transport economics and demand modelling are examined. Investigating potential synergies between inventory theory and freight transport modelling requires specific databases; the few available surveys are briefly presented. Afterwards, the empirical impact of integrating concepts from inventory theory in freight modelling practice is discussed on the basis of a number of recent studies, which focused mainly on mode choice, or joint choice of mode and shipment size. The chapter concludes on future research directions and challenges.


Archive | 2016

Empirical Analysis of Freight Transport Prices Using the French Shipper Survey ECHO

François Combes; Julien Harache; Martin Koning; Eric Morau

This article presents an empirical analysis of the prices’ structure in the road freight industry. For that purpose, we use the French ECHO survey that provides detailed information on the characteristics of shippers and transport operators. First, we show that road freight prices are not a simple linear function of shipments’ attributes. Second, the main determinants of these prices are related to “technical” attributes of the transport services (load weight, travel duration, distance) but also to the characteristics of the shipped goods (density value, commodities constrains). Lastly, the influence of “non-traditional” factors (intensity of the shipper-operator relationship, size of the shipper, intra-group shipments) is highlighted.


Transportation Research Part C-emerging Technologies | 2014

Using cell phone data to measure quality of service and passenger flows of Paris transit system

Vincent Aguiléra; Sylvain Allio; Vincent Benezech; François Combes; Chloé Milion


Procedia - Social and Behavioral Sciences | 2012

A stochastic model of passenger generalized time along a transit line

Fabien Leurent; Vincent Benezech; François Combes


Procedia - Social and Behavioral Sciences | 2012

Estimating the Quality of Service of Underground Transit Systems with Cellular Network Data

Vincent Aguiléra; Sylvain Allio; Vincent Benezech; François Combes; Chloé Milion


Procedia - Social and Behavioral Sciences | 2012

A simple representation of a complex urban transport system based on the analysis of transport demand: the case of Region Ile-de-France

François Combes; Rob van Nes


Transportation Research Board 89th Annual MeetingTransportation Research Board | 2010

Shipment Size and Freight Tariffs: Technical Constraints and Equilibrium Price Schedules

François Combes; Fabien Leurent


European Transport Conference, 2009Association for European Transport (AET) | 2009

Representation of the Freight Transport System

François Combes; Fabien Leurent

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Vincent Benezech

École des ponts ParisTech

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André de Palma

École normale supérieure de Cachan

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Rob van Nes

Delft University of Technology

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