Modelling truck's destination choice model behaviour: case study of Seoul Metropolitan Area

Modelling truck's destination choice model behaviour: case study of Seoul Metropolitan Area

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Article ID: iaor2017908
Volume: 9
Issue: 2
Start Page Number: 166
End Page Number: 185
Publication Date: Feb 2017
Journal: International Journal of Shipping and Transport Logistics
Authors: , , ,
Keywords: supply & supply chains, combinatorial optimization, simulation, decision, allocation: resources
Abstract:

This study was to develop a disaggregate truck's destination choice model as a sub‐model of a tour‐based truck demand model. For this purpose, two distinct destination choice models for the first trip and post‐first trips were developed. To determine if there is a competition or agglomeration effect in the choice of next stop location, the accessibility index was included as an explanatory variable in the logit‐based choice model. The destination choice model, including accessibility as an explanatory variable, was found to be superior to that without the accessibility variable. More importantly, although there was a competition effect for the first trip's destination choice, the agglomeration effect exists for the post‐first trip's destination choice, indicating that there is a competition effect in the destination choice of truck movements. The agglomeration effect for the post‐first trips for a small‐sized truck was found to be more significant than that for a medium‐sized truck.

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