Abstract:In this paper we use advanced choice modelling techniques to analyze demand for freight transport in a context of modal choice. To this end, a stated preference (SP) survey was conducted in order to estimate freight shipper preferences for the main attributes that define the service offered by the different transport modes. From a methodological point of view, we focus on two critical issues in the construction of efficient choice experiments. Firstly, in obtaining good quality prior information about the parameters; and secondly, in the improved quality of the experimental data by tailoring a specific efficient design for every respondent in the sample.With these data, different mixed logit models incorporating panel correlation effects and accounting for systematic and random taste heterogeneity are estimated. For the best model specification we obtain the willingness to pay for improving the level of service and the elasticity of the choice probabilities for the different attributes. Our model provide interesting results that can be used to analyze the potential diversion of traffic from road (the current option) to alternative modes, rail or maritime, as well as to help in the obtaining of the modal distribution of commercial traffic between Spain and the European Union, currently passing through the Pyrenees. KEYWORDS: Freight Transport, Discrete Choice Experiments, Stated Preference, Willingness to Pay, Discrete Choice Models. Highlights We use discrete choice experiments to analyze demand for freight transport in a context of modal choice. We tailor a specific efficient design for every respondent in the sample using parameters' priors obtained from a previous orthogonal design. We study freight shipper preferences for the main attributes that define the service offered by the different transport modes. We estimate mixed logit models incorporating panel correlation effects and accounting for systematic and random taste heterogeneity. We obtain willingness to pay figures for improving the level of service and the elasticity of the choice probabilities for the different attributes.

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This paper aims to investigate the determinants of maritime and overland transport costs and the role they play in deterring trade across countries. We estimate a transport cost function using data on maritime and overland transport of the ceramic sector (tiles) obtained from interviews held with Spanish logistics operators. We also study the relationship between transport costs and trade and estimate an import demand model for ceramic products. Additionally, we present a discussion on the sensitivity of trade flows and transportation costs to the existence of back-hauling, special conditions for transport and number of reloads.1 The study of modal transport (overland versus maritime) and its differential characteristics are of relevant interest for maritime economists and should be taken into account in economic policy-making. Furthermore, the proven impact of infrastructure on transport costs and trade points towards the importance of investing in new port infrastructures as a way of fostering trade and income. Our results from the transport cost estimation show that higher distance and poor partner infrastructure lead to a notable increase in transport costs. Inclusion of infrastructure measures improves the fit of the regression, thus corroborating the importance of infrastructure in determining transport costs. The distance coefficient remains significant and with similar magnitude when we add infrastructure variables. Our results from the trade equation estimation show that importer income, as expected, has a positive influence in bilateral trade flows. Higher transport costs significantly deter trade, and distance does not appear to be a good proxy for transport costs in the ceramics sector. Maritime Economics & Logistics (2003) 5, 179–198. doi:10.1057/palgrave.mel.9100069