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

Authors: Hansoo Kim; Dongjoo Park; Minyoung Park; Chansung Kim

Addresses: Department of Transportation Engineering, University of Seoul (currently KORAIL Research Institute, Korea Railorad Corporation), 163 Siripdaero, Dongdaemun-gu, Seoul, 130-743, Korea ' Department of Transportation Engineering, University of Seoul, 163 Siripdaero, Dongdaemun-gu, Seoul, 130-743, Korea ' Graduate School of Logistics, Inha University, 100 Inharo, Namgu, Incheon, 402-751, Korea ' Center for Transportation Database, The Korea Transport Institute, 370 Sicheong-daero, Sejong-si, 339-007, Korea

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.

Keywords: truck destination choice; modelling; tour-based models; agglomeration effect; competition effect; accessibility; case study; Seoul; South Korea; truck demand models; small trucks; medium-sized trucks.

DOI: 10.1504/IJSTL.2017.082522

International Journal of Shipping and Transport Logistics, 2017 Vol.9 No.2, pp.166 - 185

Available online: 14 Jan 2017 *

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