Semi-parametric spatial autoregressive models in freight generation modeling

Krisztin T (2018). Semi-parametric spatial autoregressive models in freight generation modeling. Transportation Research Part E: Logistics and Transportation Review 114: 121-143. DOI:10.1016/j.tre.2018.03.003.

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Abstract

This paper proposes for the purposes of freight generation a spatial autoregressive model framework, combined with non-linear semi-parametric techniques. We demonstrate the capabilities of the model in a series of Monte Carlo studies. Moreover, evidence is provided for non-linearities in freight generation, through an applied analysis of European NUTS-2 regions. We provide evidence for significant spatial dependence and for significant non-linearities related to employment rates in manufacturing and infrastructure capabilities in regions. The non-linear impacts are the most significant in the agricultural freight generation sector.

Item Type: Article
Uncontrolled Keywords: Non-linear spatial autoregressive models; Genetic algorithms; Semi-parametric modeling; Freight generation
Research Programs: Ecosystems Services and Management (ESM)
Depositing User: Luke Kirwan
Date Deposited: 18 Apr 2018 06:01
Last Modified: 18 Apr 2018 06:01
URI: http://pure.iiasa.ac.at/15232

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