Evidence map›Paper›PMID 32834686›Full record

ArticleTransportation research. Part C, Emerging technologies2020

Probability estimation model for the cancellation of container slot booking in long-haul transports of intercontinental liner shipping services.

Hui Zhao, Qiang Meng, Yadong Wang

Abstract read
In one paragraph

Article in Transportation research. Part C, Emerging technologies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hui ZhaoDepartment of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore.
Qiang MengDepartment of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore.
Yadong WangSchool of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intercontinental liner shipping services transport containers between two continents and they are crucial for the profitability of a global liner shipping company. In the daily operations of an intercontinental liner shipping service, however, container slot bookings from customers can be freely cancelled during a booking period, which causes loss of revenue and low utilization of ship capacity. Though a pain-point of the liner shipping industry, the container slot cancellation problem has not yet been well investigated in the literature. To fill this research gap, this study aims to estimate the probability for the cancellation of container slot booking in the long haul transports of the intercontinental liner shipping service by considering the primary influential factors of cancellation behavior. To achieve the objective, a container slot booking data-driven model is developed by means of a time-to-event modeling technique. To incorporate the effect of booking region on the cancellation probability, we introduce the frailty term in the model to capture the regionality of the container shipping market. Our case study with real slot booking data shows that the developed model performs well in forecasting the loaded containers of the slot booking requests. In addition, we shed light on how the internal factors of slot booking and external factors of shipping market influence the probability of cancellation.

Indexed as

Cancellation probability estimationContainer liner shippingContainer slot bookingTime-to-event analysis

Identifiers

PMID32834686
PMCPMC7414785

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.