MarTREC Data Set for Report: Developing and Applying an Analysis Methodology to Identify Flow Generation Influences between Vessel and Truck Shipments

Truck activity is logically connected to vessel activity at a port. In turn, vessel activity is also influenced by truck shipments. Although one might expect a direct and straightforward relation between these two types of shipments, that is rarely the case. For instance, many maritime containers carry consolidated cargos that have multiple and different final destinations. Also, different truck capacities, customs clearance and regulations play a critical role in determining the actual relation between these two types of shipments. This project aims at shedding light on the nuances of maritime and roadway flow relations by quantitatively analyzing the linkages between these two types of shipments. The study performed a statistical analysis to determine the probability distributions of vessel and truck activity, and then explore the correlation of each activity with the other. The analysis yielded coefficients that function as explanatory values for specific truck flows. The ultimate purpose of this study is to provide a clearer and quantitative understanding of the relationship between maritime and truck shipments, and by doing so, to provide tools to develop a system for managing trucks that maximizes efficiency for industry, while minimizing industry’s negative impacts on a region. For this purpose, the study selected the Port Freeport as a case study.

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PID https://www.doi.org/10.5281/zenodo.3838762
PID https://www.doi.org/10.5281/zenodo.3838763
PID https://www.doi.org/10.5281/zenodo.3216697
PID https://www.doi.org/10.5281/zenodo.3216696
URL http://dx.doi.org/10.5281/zenodo.3838763
URL https://figshare.com/articles/MarTREC_Data_Set_for_Report_Developing_and_Applying_an_Analysis_Methodology_to_Identify_Flow_Generation_Influences_between_Vessel_and_Truck_Shipments/9153002
URL http://dx.doi.org/10.5281/zenodo.3838762
URL https://zenodo.org/record/3216697
URL http://dx.doi.org/10.5281/zenodo.3216696
URL http://dx.doi.org/10.5281/zenodo.3216697
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Access Right Open Access
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Author Monsreal, Mario, 0000-0001-9856-8259
Author Kruse, Jim, 0000-0002-7519-161X
Author Kang, Dong Hun (Don)
Author Park, Eun Sug
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Collected From Zenodo; Datacite; figshare
Hosted By Zenodo; figshare
Publication Date 2019-04-08
Publisher Zenodo
Additional Info
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Language English
Resource Type Dataset
system:type dataset
Management Info
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::23264c932b7ede51d089abf5fdbcf778
Author jsonws_user
Version Version 1
Last Updated 13 January 2021, 12:24 (CET)
Created 13 January 2021, 12:24 (CET)