Conference Proceedings on the Web 22: Transforming the Marine Transportation System Through Multimodal Freight Analytics (2018) / Chapter Skim
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Pages 68-91
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68 APPENDIX B Breakout Session Abstracts Session 1A: Data Analytics: Maritime and Freight 1 ............................................. 71 Deriving Value from Waybill Data, Traffic Volumes, and the Integration of Both .....................
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69 Modeling Agricultural Commodity Flows on the U.S. Railroads and Inland Waterways System Using Waybill and Waterborne Commerce Statistics Data .................................................
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70 How Information Systems and Data Are Used to Control Operations and Influence Management Decisions at the Panama Canal ............................................................................................ 86 Parsa Safa Transport Analysis Framework of the King Abdullah Petroleum Studies and Research Center: Building a Global Freight Network Model with Satellite and Automatic Identification System Data ..........................................................................................................
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71 Session 1A Data Analytics: Maritime and Freight 1 Deriving Value from Waybill Data, Traffic Volumes, and the Integration of Both Charles Edwards, North Carolina Department of Transportation Major growth in freight transportation activity and rapid population growth in the state of North Carolina have brought new opportunities and challenges for the North Carolina DOT freight divisions. Access to additional data sources, the ability to integrate multiple data sources, and the ability to derive insight from the available freight data sources are some key factors that improve freight planning.
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72 digit and three-digit NAICS levels for two sets of aggregations by mode: all modes and only road modes. The authors presented the final FP models, highlighted the differences between states and the overall United States, and discussed potential applications of the models in multimodal freight policy and planning.
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73 Modern BI platforms and ETL procedures enable companies to extract additional insights and value from a wide variety of data sets and data services with a much lower level of effort than previously required. An important advancement is the combination of robust data transformation and data visualization features within a single software application.
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74 GEOGRAPHIC DISTRIBUTION OF THE DIRECT AND REGIONAL IMPACTS GIS tools were employed to illustrate the network-wide distribution of impacts of individual lock closures. Finally, the broader anticipated regional impact -- lost incomes and lost jobs -- were modeled.
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75 Availability of the navigation channels and infrastructure can be impacted by natural events or infrastructure failures with minimal prior notice. These disruptions can affect the supply chain and often make news as shipments are delayed behind ice jams, lock failures, or obstructed navigation channels.
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76 A GIS Inventory and Exposure Assessment for Critical Coastal Transport Infrastructure Land Use in the Caribbean Small Island Developing States Gerald Bove, University of Rhode Island This presentation shared preliminary work from the creation of a database and study of Caribbean port and transport network exposure to climate change and storm damage. Climate change has emerged as one of the most significant challenges to global sustainable development, particularly for small island developing states.
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77 Using Geographic Information Science to Evaluate Legal Restrictions on Freight Transportation Routing in Disruptive Scenarios Steven Peterson, Oak Ridge National Laboratory Disasters have consequences and freight transportation is not immune to these consequences. In the aftermath of disasters, planners and policymakers use scarce resources and work within legal frameworks to ensure that inoperable infrastructure assets return to normal operations.
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78 Modeling Agricultural Commodity Flows on the U.S. Railroads and Inland Waterways System Using Waybill and Waterborne Commerce Statistics Data Steven Peterson, Oak Ridge National Laboratory The Oak Ridge National Laboratory (ORNL)
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79 Session 2B Decision Support: Managing Flows Applying Multimodal Freight Network Optimization to Public-Sector Investment Decisions Mark Berndt, Quetica This presentation discussed the formulation of a methodology to examine network investments that reduce shipping costs and improve network efficiency. The Public-Sector Supply Chain Network Optimization Model begins with building a multimodal network module for key freight modes and nodes serving the area to be studied.
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80 trailer combination units (long-haul operations) , in addition to generating a series of metrics, visualizations, and instantaneous mapping capabilities.
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81 by vessel operators to transit safely, efficiently, and reliably could be provided on an as-needed basis. This presentation examined the need for planned vessel movement information, that is, a voyage plan.
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82 Container Ship Dwell Times Through the Automatic Identification System Lens Daniel Smith, Tiago Group, and Daniel Hackett, Hackett Associates Container ship dwell times are a vital concern of U.S. ports, ocean carriers, marine terminals, and importers/exporters.
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83 partnered with the Texas A&M Transportation Institute to develop a freight fluidity assessment framework for coastal ports. The goal is to use archival AIS data to develop and demonstrate how ports can be compared objectively in terms of fluidity, or the turnaround time reliability of oceangoing vessels.
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84 Serious casualty incidents are also present in the data set, and the goal was to understand the relationship between the occurrence of near misses and the occurrence of serious casualty incidents. Three serious casualty incident metrics were identified: (1)
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85 accidents frequently are not available; this unavailability leads to crucial data gaps for cost–benefit analyses. A text review methodology used by USCG to resolve this data gap for the Final Rule for the Inspection of Towing Vessels, which was issued in 2016, was presented.
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86 for the middle Tennessee region. General recommendations on how to make the most appropriate use of this rapidly growing technology were provided for the public and private sectors of freight transportation.
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87 • As a proxy to estimate transportation flows over main shipping routes. This open source approach, coupled with traditional transportation modeling, provides an understanding of the configuration of global freight movement for types of commodities according to their market value.
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88 and provided a demonstration of how FHWA and other related freight data sets can be queried with the use of natural language. Man Versus Machine: Comparing Traditional Data Collection and Statistical Models with Machine Learning Big Data Analytics Jolene Hayes, Fehr & Peers More and more data sets continue to enter the market, each with a promise of telling transportation planners exactly what is happening in the movement of goods and people.
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89 Each of these technologies is subject to the growing threat of cybersecurity vulnerabilities. Each has a unique securable surface, and each is vulnerable to different methods of attack.
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90 Session 3C Decision Support: Environmental Automatic Identification System Data Improvements to the 2014 Gulfwide Emissions Inventory Study Heather Perez, ERG Because the quality of AIS data has improved drastically over the past several years, AIS has become increasingly useful as the primary data source for assessing vessel traffic and marine freight movements. This presentation summarized the evaluation of the quality of hourly AIS observations that formed the basis of the commercial marine vessel component of the 2014 Gulfwide Emissions Inventory Study for BOEM.
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91 This air emissions model is based on an estimate of engine load factor and is capable of producing a granular estimate of air emissions. This presentation described the model's underlying equations, data sources, and outputs; discussed significant challenges that were encountered as discrepancies in the vessel information and position signals; and summarized the protocol developed to prepare the data and to exclude unreliable information.
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