Modal choice models for strategic freight transportation studies covering large inter-regional or international areas generally rely on basic explanatory variables such as transportation costs and transit times.Using origin-destination matrixes, it is also possible to compute an accessibility measure that can further be used as an additional explanatory variable. This paper shows that the inclusion of an accessibility measure in the utility functions of a logit model significantly improves its predictive power. Moreover, when the refined model is used to compute cost and transit time elasticities, the obtained (absolute) values are somewhat lower. The inclusion of an accessibility measure has thus a double advantage for policymakers: it improves the predictive power of the freight transport model, giving more accurate estimated traffics on the modal networks, and it avoids overestimations of own and cross-elasticities, which has an obvious importance in the framework of transport policy decisions.
Jourquin, B. (2022). Integrating an Accessibility Measure in the Modal Choice of Strategic Freight Transport Models. SSRN Electronic Journal. Published. https://doi.org/10.2139/ssrn.4006887 (Original work published 2022)