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Multimodal Transport Networks

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Abstract

We examine the economic and environmental impacts of improvements and disruptions in multimodal transport networks. Our quantitative spatial equilibrium model incorporates routing over multiple modes and congestion at intermodal terminals. We estimate a modal substitution elasticity with highway and rail data and a terminal congestion elasticity with vessel-positioning data. Calibrated to the US freight network, our model identifies key bottlenecks and quantifies $300 million–$700 million in additional real GDP gains from intermodal terminal improvements. These gains are 2.5 times higher without congestion, and substitution away from roads yields additional environmental benefits. Losing rail network access, factoring in modal substitution and general equilibrium effects, is estimated to reduce real GDP by $230 billion.

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  • Woan Foong Wong & Simon Fuchs, 2022. "Multimodal Transport Networks," FRB Atlanta Working Paper 2022-13, Federal Reserve Bank of Atlanta, revised Oct 2024.
    • Handle: RePEc:fip:fedawp:95074
    DOI: 10.29338/wp2022-13
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    More about this item

    Keywords

    multimodal transport; transport network; spatial equilibrium; endogenous transport costs; infrastructure investments; disruptions; bottlenecks;
    All these keywords.

    JEL classification:

    • F11 - International Economics - - Trade - - - Neoclassical Models of Trade
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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