Author: Franklin Ekoue Gbologah Publisher: ISBN: Category : Container terminals Languages : en Pages :
Book Description
Computer based simulation models have often been used to study the multimodal freight transportation system. But these studies have not been able to dynamically couple the various modes into one model; therefore, they are limited in their ability to inform on dynamic system level interactions. This research thesis is motivated by the need to dynamically couple the multimodal freight transportation system to operate at multiple spatial and temporal scales. It is part of a larger research program to develop a systems modeling framework applicable to freight transportation. This larger research program attempts to dynamically couple railroad, seaport, and highway freight transportation models. The focus of this thesis is the development of the coupled railroad and seaport models. A separate volume (Wall 2010) on the development of the highway model has been completed. The model railroad and seaport was developed using Arena® simulation software and it comprises of the Ports of Savannah, GA, Charleston, NC, Jacksonville, FL, their adjacent CSX rail terminal, and connecting CSX railroads in the southeastern U.S. However, only the simulation outputs for the Port of Savannah are discussed in this paper. It should be mentioned that the modeled port layout is only conceptual; therefore, any inferences drawn from the model's outputs do not represent actual port performance.
Author: Jing Dong Publisher: ISBN: Category : Choice of transportation Languages : en Pages : 38
Book Description
"To facilitate a region's freight transportation systems planning and operations and minimize the risk associated with increasing multimodal freight movements, this study presents a modeling framework for evaluating and optimizing freight flows on a multimodal transportation network under disruption. Unexpected events such as earthquakes, floods, and other manmade or natural disasters would cause significant economic loss. When parts of the transportation network are closed or operated at a reduced capacity, the delay of commodity movements would further increase such losses. Shifting to an alternative route or mode might help to mitigate the negative impacts. In this study, a multimodal freight transportation network was developed to simulate commodity movements, evaluate the impacts of disruptions, and develop effective emergency operation plans. A fluid-based dynamic queuing approximation was used to estimate the delays at classification yards and locks caused by disruption. Using the Federal Highway Administration's (FHWA) Freight Analysis Framework version 3 (FAF3) database, a case study was constructed to model the transportation of cereal grains from Iowa to other states. Three hypothetical disruption scenarios were tested: a reduced service level at locks along the Mississippi River, a bridge outage on I-80 at the Missouri River, and severe weather in central Iowa closing the Union Pacific tracks in the area. The impacts of these disruptions were quantified and analyzed using the presented freight network model" (page ii).
Author: Moshe E. Ben-Akiva Publisher: Emerald Group Publishing ISBN: 0080451195 Category : Transportation Languages : en Pages : 262
Book Description
Discusses Professor Marvin L Manheim's contributions to transportation. This book presents his vision for the role of ICTs in transport. It covers topics including predictions of production to consumption freight flows through the use of multi regional input-output models, and choice analysis using freight market research surveys.
Author: Magdalena Ines Asborno Publisher: ISBN: Category : Languages : en Pages : 390
Book Description
Within the U.S., the 18.6 billion tons of goods currently moved along the multimodal transportation system are expected to grow 51% by 2045. Most of those goods are transported by roadways. However, several benefits can be realized by shippers and consumers by shifting freight to more efficient modes, such as inland waterways, or adopting a multimodal scheme. To support such freight growth sustainably and efficiently, federal legislation calls for the development of plans, methods, and tools to identify and prioritize future multimodal transportation infrastructure needs. However, given the historical mode-specific approach to freight data collection, analysis, and modeling, challenges remain to adopt a fully multimodal approach that integrates underrepresented modes, such as waterways, into multimodal forecasting tools to identify and prioritize transportation infrastructure needs. Examples of such challenges are data heterogeneity, confidentiality, limitations in terms of spatial and temporal coverage, high cost associated with data collection, subjectivity in surveys responses, etc. To overcome these challenges, this work fuses data across a variety of novel transportation sources to close existing gaps in freight data needed to support multimodal long-range freight planning. In particular, the objective of this work is to develop methods to allow integration of inland waterway transportation into commodity-based freight forecasting models, by leveraging Automatic Identification System (AIS) data. The following approaches are presented in this dissertation: i) Maritime Automatic Identification System (AIS) data is mapped to a detailed inland navigable waterway network, allowing for an improved representation of waterway modes into multimodal freight travel demand models which currently suffer from unbalanced representation of waterways. Validation results show the model correctly identifies 84% stops at inland waterway ports and 83.5% of trips crossing locks. ii) AIS and truck Global Positioning System (GPS) data are fused to a multimodal network to identify the area of impact of a freight investment, providing a single methodology and data source to compare and contrast diverse transportation infrastructure investments. This method identifies parallel truck and vessel flows indicating potential for modal shift. iii) Truck GPS and maritime Lock Performance Monitoring System (LPMS) data are fused via a multi-commodity assignment model to characterize and quantify annual commodity throughput at port terminals on inland waterways, generating new data from public datasets, to support estimation of commodity-based freight fluidity performance measures. Results show that 84% of ports had less than a 20% difference between estimated and observed truck volumes. iv) AIS, LPMS, and truck GPS datasets are fused to disaggregate estimated annual commodity port throughput to vessel trips on inland waterways. Vessel trips characterized by port of origin, destination, path, timestamp, and commodity carried, are mapped to a detailed inland waterway network, allowing for a detailed commodity flow analysis, previously unavailable in the public domain. The novel, repeatable, data-driven methods and models proposed in this work are applied to the 43 freight port terminals located on the Arkansas River. These models help to evaluate network performance, identify and prioritize multimodal freight transportation infrastructure needs, and introduce a unique focus on modal shift towards inland waterway transportation.
Author: Theo Notteboom Publisher: ASP / VUBPRESS / UPA ISBN: 9054878584 Category : Business & Economics Languages : en Pages : 609
Book Description
Bringing together an international network of leading scholars, this multidisciplinary book unravels some of the most pressing challenges to shipping, ports, and logistics. Divided into five parts--shipping, the analysis of flows and networks, terminal operations and performance, logistics, and port development and governance--this record is an essential read for practitioners in the maritime and logistics world, postgraduate students, policy makers, and professional organizations. As market players expand and improve their services in line with increased requirements on rates, reliability, environmental footprint, and safety and security, this compendium encourages further systematic thinking.
Author: Moshe E. Ben-Akiva Publisher: Emerald Group Publishing ISBN: 1781902852 Category : Transportation Languages : en Pages : 512
Book Description
This title addresses the need to develop new freight transport models and scientific tools to provide sound solutions that consider the wide range of internal and external impacts. The international contributions push forward frontiers in freight transport modelling and analysis.
Author: National Research Council (U.S.). Transportation Research Board Publisher: ISBN: 9780309160377 Category : Business logistics Languages : en Pages : 145
Book Description
"This issue contains 16 papers concerned with freight transportation modeling, planning, and logistics. Specific topics discussed are as follows: the discrete berth-scheduling problem; multimodal network analysis and vulnerability assessment; location choice model for logistic firms; agent-based combined traffic simulation of private cars and commercial vehicles; shipper willingness to pay to increase environmental performance in freight transportation; inland freight transport modal choice; port hinterland for networks of intermodal freight transportation; online inventory routing systems under demand surges; transport and logistics demand; identifying and characterizing truck bottlenecks; cost impact of freight bottlenecks on the trucking industry; estimating the impact of congestion on freight; algorithms to quantify the impact of congestion on urban freight distribution networks; exclusive truck facilities; building resilience into freight transportation systems; and fuel ethanol transportation activity and potential distribution constraints."--pub. desc.
Author: Franklin Ekoue Gbologah
Author: Jing Dong
Author: Thomas A. Grigalunas
Author: Moshe E. Ben-Akiva
Author: Magdalena Ines Asborno
Author: Theo Notteboom
Author: Moshe E. Ben-Akiva
Author: César Augusto Quiroga
Author: Kathleen Louise Hancock
Author: National Research Council (U.S.). Transportation Research Board