A spatial-economic multimodal transportation simulation model for US coastal container ports

Assessing the potential demand for container ports and related multimodal transportation is critical for several purposes, including financial feasibility analysis and the evaluation of net economic benefits and their distribution. When developed in conjunction with a geographical information system, port-related demand analysis also provides needed input for assessment of selected environmental issues, such as truck traffic on local roads and related potential external costs, such as air pollution and noise. However, container port demand analysis is very difficult due to the complexities of international trade in containerised goods, inter-port competition, and potential strategic behaviour by several parties. Difficulties also arise from the many factors to be considered, major data requirements, and the computationally intensive nature of the problem. This paper summarises the development and application of a spatial-economic, multimodal container transportation demand simulation model for major US container ports. The underlying economic framework assumes shippers minimise the total general cost of moving containers from sources to markets. The model is validated and then used to estimate (1) annual container transportation service demand for major container ports, (2) the market areas served by selected ports, and (3) the impact on port demand and interport competition due to hypothetical changes in port use fees at selected ports. This paper first describes the model and the underlying economic reasoning, followed by the assumptions, computational algorithms, and the software architecture. Then, the trade data, transportation networks, and economic variables are described. After that, model simulation results are presented with qualifications, needed refinements, and future directions. © 2003 Palgrave Macmillan Ltd. All rights reserved

Environmental compliance and optimal oil and gas exploitation

This paper examines the impacts of environmental regulations on firms in the oil and gas industry. A model is developed using optimal control theory, which extends the existing models by incorporating the environmental compliance costs into the exploration and production stages. An approach for measuring the cumulative impacts of these regulations on the firm\u27s exploration and production is presented. The results indicate that rising environmental compliance costs lead to reductions in investment and production, and the alteration of investment and production profiles. This implies that less resources will be developed and associated economic benefit will decline. Therefore, it is vital for policy makers to consider carefully whether the perceived environmental beneifts derived from these regulations justify associated compliance costs. -Author

Environmental compliance and energy exploration and production: application to offshore oil and gas

An integrated investment-production-regulatory model is developed to examine the economic consequences of proposed environmental regulations on firms in the offshore oil and gas industry. OCS-related environmental regulatory issues, the general modelling approach, and selected simulation results are discussed. The results show that the impacts of these regulations on OCS firms can be significant in terms of the reduction in after-tax-net present value, the distribution of economic rent, and minimum field size. Results also indicate that at the firm level, the influences of different sets of regulatory proposals vary significantly with more stringent regulations having bigger effects. -Author

A Spatial-Economic Multimodal Transportation Simulation Model For US Coastal Container Ports

Assessing the potential demand for container ports and related multimodal transportation is critical for several purposes, including financial feasibility analysis and the evaluation of net economic benefits and their distribution. When developed in conjunction with a geographical information system, port-related demand analysis also provides needed input for assessment of selected environmental issues, such as truck traffic on local roads and related potential external costs, such as air pollution and noise. However, container port demand analysis is very difficult due to the complexities of international trade in containerised goods, inter-port competition, and potential strategic behaviour by several parties. Difficulties also arise from the many factors to be considered, major data requirements, and the computationally intensive nature of the problem. This paper summarises the development and application of a spatial-economic, multimodal container transportation demand simulation model for major US container ports. The underlying economic framework assumes shippers minimise the total general cost of moving containers from sources to markets. The model is validated and then used to estimate (1) annual container transportation service demand for major container ports, (2) the market areas served by selected ports, and (3) the impact on port demand and interport competition due to hypothetical changes in port use fees at selected ports. This paper first describes the model and the underlying economic reasoning, followed by the assumptions, computational algorithms, and the software architecture. Then, the trade data, transportation networks, and economic variables are described. After that, model simulation results are presented with qualifications, needed refinements, and future directions. Maritime Economics & Logistics (2003) 5, 158–178. doi:10.1057/palgrave.mel.9100067