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Krisztin, T. 
ORCID: https://orcid.org/0000-0002-9241-8628
(2018).
Semi-parametric spatial autoregressive models in freight generation modeling.
Transportation Research Part E: Logistics and Transportation Review 114 121-143. 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: | 27 Aug 2021 17:30 |
| URI: | https://pure.iiasa.ac.at/15232 |
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