FE/NETL CO2 Transport Cost Model (2018): Description and User's Manual

2014 ◽  
Author(s):  
David Morgan ◽  
Tim Grant
2021 ◽  
Author(s):  
Matías Herrera Dappe ◽  
Tomás Serebrisky ◽  
Ancor Suárez-Alemán

Do differences in port performance explain differences in maritime transport costs? How much would improvements in port performance reduce maritime transport costs in developing countries? To answer this question, we use a widely used transport cost model, but we provide a new measure of port efficiency, estimated through a non-parametric approach. Relying on data from the early 2000s, this paper shows that for a sample of 115 container ports in 39 developing countries, becoming as efficient as the country with the most efficient port sector would reduce average maritime transport costs by 5 percent. For the most inefficient country, the reduction in transport costs could reach 15 percent. These findings point out the potential gains that can be achieved from the combination of betterquality investment and more efficient service provision in the port sector. The estimates in this paper cannot be updated because the databases were discontinued and it therefore highlights the need to generate data to evaluate the effectiveness of public policies that are key to competitiveness.


Author(s):  
Sedat Baştuğ ◽  
Turgay Battal

The aim of the chapter is to propose a methodology to illustrate the cost and time components of door-to-door movement by One Belt and One Road (OBOR) and traditional routes alongside with modes. The study is concentrated on a case study and uses established multimodal transport cost model as a research framework. Interviews with industry practitioners and observation from primary methods of data collection. The use of multimodal transport cost model is common in the containerized cargoes. Hence, this study provides an original analysis for OBOR initiative. The volumes of OBOR shipments are large, with a high value-to-volume ratio. The research initially confirms that multimodal transport alternatives and modal combinations may successfully be applied and assess the performance of OBOR initiative.


2019 ◽  
Vol 11 (4) ◽  
pp. 990 ◽  
Author(s):  
Dan Liu ◽  
Zhenghong Deng ◽  
Qipeng Sun ◽  
Yong Wang ◽  
Yinhai Wang

Decentralized freight decision has been proved to be one of the inhibitors to achieve a sustainable transport network. One important method also a key challenge is to determine how to coordinate and consolidate the transportation flow to get the best logistics performance. This study presents an intermodal transportation network considering freight consolidation through freight forwarders’ cooperation. We formulate the problem as a minimum intermodal transport cost model, which is a nonlinear, nonconvex and discontinuous function that involves volume economies of scale, distance economies of scale and vehicle size economies of scale. A hybrid genetic algorithm (GA) and particle swarm optimization (PSO) algorithm in combination with a batch strategy are used to solve the problem. Five different transport demand scenarios are tested on a real case on “China Railway Express” (Crexpress). The choices of reasonably corridor and fleet size combination are provided.


2019 ◽  
Vol 98 (sp1) ◽  
pp. 414
Author(s):  
Wenying Zhu ◽  
Chao Gao ◽  
Xiaheng Zhang ◽  
Doudou Li

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 968
Author(s):  
Sam Van Holsbeeck ◽  
Sättar Ezzati ◽  
Dominik Röser ◽  
Mark Brown

Research Highlights: A set of 128 potential bioenergy facility locations is established and evaluated based on the transport cost to select optimal locations. Background and Objectives: The identification of optimal facility locations to process recovered forest biomass is an important decision in designing a bioenergy supply chain at the strategic planning level. The result of this analysis can affect supply chain costs and the overall efficiency of the network, due to the low density and dispersed nature of forest biomass and the high costs associated with its logistics operations. In this study, we develop a two-stage decision support system to identify the optimal site locations for forest biomass conversion based on biomass availability, transport distance and cost. Materials and Methods: In the first stage, a GIS-based analysis is designed to identify strategic locations of potential bioenergy sites. The second stage evaluates the most cost-effective locations individually using a transportation cost model, based on the results from stage one. The sensitivity of inputs, such as maximum allowable transport cost, the distance of transport and their relations to the profit balance, and changes in fuel price are tested. The method is applied to a real case study in the state of Queensland, Australia. Results and Conclusions: The GIS analysis resulted in 128 strategic candidate locations being suggested for bioenergy conversion sites. The logistics analysis estimated the optimal cost and transportation distance of each one of the locations and ranked them according to the overall performance between capacities of 5 and 100 MW.


Logistics ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 11
Author(s):  
Anthony K. C. Beresford ◽  
Ruth Banomyong ◽  
Stephen Pettit

The purpose of this paper is to present a rigorous and critical review of an established cost/time-distance model. The model offers a perspective on the inter-relationships between transport modes, nodes, methods and cargo volumes, types and forms. Organisations can review their door to door supply chain costs by applying the model described in the paper. The reviewed multimodal transport cost model is based on a relatively simple framework but demonstrates that other existing models of modal choice, multimodal transport and inventory location all oversimplify the transport process. The critical components of the model are the transport from origin to destination, consignment loading/unloading, intermodal transfer and performance variability. Other activities such as storage, value addition and customs clearance can be added into the model as required. Several findings emerge from the development of the model and provide much greater clarity concerning the cost-structure of door-to-door multimodal transport services along economic corridors. The model is shown to be a useful tool for identifying theoretical alternative locations for facilities such as inland terminals. The relative unit costs of operating respective freight transport modes lead to a series of classic door-to-door cost profiles stemming from the modal mix, which varies according to shipment distance, volume, cargo value-density and other variables.


Author(s):  
Stefaan Swarts ◽  
David King ◽  
Zane Simpson ◽  
Jan Havenga ◽  
Leila Goedhals-Gerber

The purpose of this study is to quantify the marginal external costs associated with freight transport in South Africa. Six cost elements are included as externality cost items, namely, costs related to accidents, emissions, roadway land availability, policing, noise and congestion. Inputs in the calculations were a gravity-oriented freight flow model, a road transport cost model, actual transport costs for other modes, a warehousing cost survey, an inventory delay calculation and various national sources of information such as accident statistics and government budgets. Estimation techniques resulted in advances for externality cost measurement in South Africa. The quantification of the cost elements will be used to update the South African Freight Demand Model. The results show that the cost of transportation would have been 20% more if external factors were taken into account. The marginal rates of externalities can be used to develop scenarios based on alternative choices for South Africa's freight transport infrastructure configuration.


2009 ◽  
Vol 33 (9) ◽  
pp. 1265-1270 ◽  
Author(s):  
Raffaele Spinelli ◽  
Shane M. Ward ◽  
Philip M. Owende

Sign in / Sign up

Export Citation Format

Share Document