Hidayati, LNN, de Jong, G orcid.org/0000-0003-3405-6523, Whiteing, A orcid.org/0000-0003-3480-1255 et al. (1 more author) (2022) A Probabilistic Model of Container Port Demand in Java Concerning the Port Hinterland Connectivity. In: Lecture Notes in Civil Engineering. 15th International Conference on Rehabilitation and Maintenance in Civil Engineering, 08-09 Jul 2021, Surakarta, Indonesia. Springer , pp. 781-789. ISBN 9789811693472
Abstract
The port demand could be modelled from the port choice of the ports’ actors. From the actors’ perspectives, factors influencing port choice do not solely depend on the port performance itself. As a port is an interchange location of land and sea transport, the port selection is closely associated with the inland mode choice. This study applies a multinomial logit (MNL) model to predict the probability of a joint port and inland mode choice in Java, Indonesia. Six factors classified into port performance and port hinterland connectivity are applied to estimate the probability of port demand. The model also allows us to estimates the port hinterland boundaries as a corollary of port choice made by the actors. Further from the simulation on several transport strategies, introducing Patimban port as a new container port in Java greatly affects the adjacent port demand. Reducing rail transport time and improving port performance also leads to substantial port and mode shifting for container transport in Java.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | MNL model; port choice; inland mode choice; port hinterland connectivity |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Economics and Discrete Choice (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Oct 2022 13:34 |
Last Modified: | 19 Jul 2023 00:13 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-981-16-9348-9_69 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:191417 |