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• 1. [Article] Physical Versus Harvest Based Measures of Capacity: The Case of the UK Vessel Capacity Unit System

  The FAO International Plan of Action on the management of fishing capacity calls for all member states to provide estimates of the total capacity of their fleets by 2001. In the UK, a “capacity” measurement ...

  Citation × Citation Citation Abstract Copy Title: Physical Versus Harvest Based Measures of Capacity: The Case of the UK Vessel Capacity Unit System Author: Pascoe, Sean, Mardle, Simon, Coglan, Louise Year: 2001 The FAO International Plan of Action on the management of fishing capacity calls for all member states to provide estimates of the total capacity of their fleets by 2001. In the UK, a “capacity” measurement system is currently in place, based on vessel size and engine power. An assumption is made that this measure is related to the harvesting ability of the fleet, and is the basis of the existing capacity reduction programs. In this paper, the harvesting capacity of a sample of UK otter trawls and netter-liners is estimated using data envelopment analysis (DEA). Estimates are made on a species by species basis for the key species harvested. These are compared to the existing measures of physical capacity. Implications for capacity management based on the physical measures, given the results, are drawn. Title: Physical Versus Harvest Based Measures of Capacity: The Case of the UK Vessel Capacity Unit System Author: Pascoe, Sean, Mardle, Simon, Coglan, Louise Year: 2001 The FAO International Plan of Action on the management of fishing capacity calls for all member states to provide estimates of the total capacity of their fleets by 2001. In the UK, a “capacity” measurement system is currently in place, based on vessel size and engine power. An assumption is made that this measure is related to the harvesting ability of the fleet, and is the basis of the existing capacity reduction programs. In this paper, the harvesting capacity of a sample of UK otter trawls and netter-liners is estimated using data envelopment analysis (DEA). Estimates are made on a species by species basis for the key species harvested. These are compared to the existing measures of physical capacity. Implications for capacity management based on the physical measures, given the results, are drawn. Close

• 2. [Article] Findings of Two Recent U.S. Reports on Excess Harvesting Capacity in Federally Managed Commercial Fisheries

  NOAA’s National Marine Fisheries Service (NMFS) recently completed two reports on excess harvesting capacity, National Assessment of Excess Harvesting Capacity in Federally Managed Commercial Fisheries ...

  Citation × Citation Citation Abstract Copy Title: Findings of Two Recent U.S. Reports on Excess Harvesting Capacity in Federally Managed Commercial Fisheries Author: Terry, Joseph, Pan, Minling NOAA’s National Marine Fisheries Service (NMFS) recently completed two reports on excess harvesting capacity, National Assessment of Excess Harvesting Capacity in Federally Managed Commercial Fisheries and Excess Harvesting Capacity in U.S. Fisheries: A Report to Congress. This paper presents the definitions of harvesting capacity, excess capacity, and overcapacity used in the two reports; summarizes the method used to estimate harvesting capacity; and presents some of the findings and policy recommendations in the two reports. The National Assessment was used in preparing the Report to Congress. The Report to Congress includes harvesting capacity assessments for 25 fisheries, 60 fleets, and 127 species groups; identifies and described the fisheries with the most severe examples of excess harvesting capacity; and discusses measures to reduce excess harvesting capacity. Title: Findings of Two Recent U.S. Reports on Excess Harvesting Capacity in Federally Managed Commercial Fisheries Author: Terry, Joseph, Pan, Minling NOAA’s National Marine Fisheries Service (NMFS) recently completed two reports on excess harvesting capacity, National Assessment of Excess Harvesting Capacity in Federally Managed Commercial Fisheries and Excess Harvesting Capacity in U.S. Fisheries: A Report to Congress. This paper presents the definitions of harvesting capacity, excess capacity, and overcapacity used in the two reports; summarizes the method used to estimate harvesting capacity; and presents some of the findings and policy recommendations in the two reports. The National Assessment was used in preparing the Report to Congress. The Report to Congress includes harvesting capacity assessments for 25 fisheries, 60 fleets, and 127 species groups; identifies and described the fisheries with the most severe examples of excess harvesting capacity; and discusses measures to reduce excess harvesting capacity. Close

• 3. [Article] Production Structure and Capacity Utilisation in Multi Product Industries: An Application to the Basque Trawl Industry

  Research Paper

  Citation × Citation Citation Abstract Copy Title: Production Structure and Capacity Utilisation in Multi Product Industries: An Application to the Basque Trawl Industry Author: Lazkano, Itziar Research Paper Title: Production Structure and Capacity Utilisation in Multi Product Industries: An Application to the Basque Trawl Industry Author: Lazkano, Itziar Research Paper Close

• 4. [Article] Measuring capacity and capacity utilization of the Eastern Mediterranean purse seine fleet

  Abstract only.

  Citation × Citation Citation Abstract Copy Title: Measuring capacity and capacity utilization of the Eastern Mediterranean purse seine fleet Author: Wattage, Premachandra, Maravelioas, Christos, Tsitsika, Efthymia Abstract only. Title: Measuring capacity and capacity utilization of the Eastern Mediterranean purse seine fleet Author: Wattage, Premachandra, Maravelioas, Christos, Tsitsika, Efthymia Abstract only. Close

• 5. [Article] Stochastic Characterization of Highway Capacity and Its Applications

  Highway capacity has traditionally been treated as deterministic. In reality, however, capacity can vary from time to time and location to location due to inclement weather, various driving behavior, traffic ...

  Citation × Citation Citation Abstract Copy Title: Stochastic Characterization of Highway Capacity and Its Applications Author: Dong, Shangjia Highway capacity has traditionally been treated as deterministic. In reality, however, capacity can vary from time to time and location to location due to inclement weather, various driving behavior, traffic incident, bottleneck and workzone. This thesis aims to characterize the stochastic variations of highway capacity, and explore its applications. The stochastic variation of highway capacity is captured through a space-time Autoregressive Integrated Moving Average (STARIMA) model. It is identified following a Seasonal STARIMA model (0,0,2₃ )× (0,1,0)₂, which indicates that the capacities of adjacent locations are spatially-temporally correlated. Hourly capacity patterns further verify the stochastic nature of highway capacity. The goal of this research is to study (1) how to take advantage of second order information, such as capacity variation, and (2) what benefits can be gained from stochastic capacity modeling. The implication of stochastic capacity is investigated through a ramp metering case study. A mean-standard deviation formulation of capacity is proposed to achieve the trade-off between traffic operation efficiency and robustness. Following that, a modified stochastic capacity-constraint ZONE ramp metering scheme embedded cell transmission model (CTM) algorithm is introduced. The numerical experiment suggests that considering second order information would alleviate the bottleneck effect and improve throughput. Monte Carlo simulation further supports this argument. This study helps verify and characterize the stochastic nature of capacity, validates the benefits of using second order information, and thus enhances the necessity of implementing stochastic capacity in traffic operation. In addition, this thesis presents a multiple days' highway capacity forecasting model and reveals the importance of incorporating capacity randomness separately in short term forecasting. Empirical observations of capacity with variations suggest that the existing deterministic notion of capacity (i.e., a fixed capacity value of 2400 veh/hr/ln) is inadequate to fully describe capacity fluctuations. The goal of this study is to provide insight on forecasting with inherent stochasticity. A hybrid highway capacity forecasting model based on wavelet dynamic neural time series is proposed. Based on 5-day capacity forecasting results, a 3.07% of Mean Absolute Percentage Error (MAPE) demonstrates improved performance against single models. This is achieved by its ability to capture the details and solve a nonlinear time series problem with a dynamic neural network. Following the results, the study concludes with a discussion on why the individual modeling of stochastic information influences the forecasting performance. Title: Stochastic Characterization of Highway Capacity and Its Applications Author: Dong, Shangjia Highway capacity has traditionally been treated as deterministic. In reality, however, capacity can vary from time to time and location to location due to inclement weather, various driving behavior, traffic incident, bottleneck and workzone. This thesis aims to characterize the stochastic variations of highway capacity, and explore its applications. The stochastic variation of highway capacity is captured through a space-time Autoregressive Integrated Moving Average (STARIMA) model. It is identified following a Seasonal STARIMA model (0,0,2₃ )× (0,1,0)₂, which indicates that the capacities of adjacent locations are spatially-temporally correlated. Hourly capacity patterns further verify the stochastic nature of highway capacity. The goal of this research is to study (1) how to take advantage of second order information, such as capacity variation, and (2) what benefits can be gained from stochastic capacity modeling. The implication of stochastic capacity is investigated through a ramp metering case study. A mean-standard deviation formulation of capacity is proposed to achieve the trade-off between traffic operation efficiency and robustness. Following that, a modified stochastic capacity-constraint ZONE ramp metering scheme embedded cell transmission model (CTM) algorithm is introduced. The numerical experiment suggests that considering second order information would alleviate the bottleneck effect and improve throughput. Monte Carlo simulation further supports this argument. This study helps verify and characterize the stochastic nature of capacity, validates the benefits of using second order information, and thus enhances the necessity of implementing stochastic capacity in traffic operation. In addition, this thesis presents a multiple days' highway capacity forecasting model and reveals the importance of incorporating capacity randomness separately in short term forecasting. Empirical observations of capacity with variations suggest that the existing deterministic notion of capacity (i.e., a fixed capacity value of 2400 veh/hr/ln) is inadequate to fully describe capacity fluctuations. The goal of this study is to provide insight on forecasting with inherent stochasticity. A hybrid highway capacity forecasting model based on wavelet dynamic neural time series is proposed. Based on 5-day capacity forecasting results, a 3.07% of Mean Absolute Percentage Error (MAPE) demonstrates improved performance against single models. This is achieved by its ability to capture the details and solve a nonlinear time series problem with a dynamic neural network. Following the results, the study concludes with a discussion on why the individual modeling of stochastic information influences the forecasting performance. Close

• 6. [Article] Capacity and Factors Affecting Capacity Utilization of Marine Fisheries: A Case of Gill-net Fleet in the Bay of Bengal

  presentation

  Citation × Citation Citation Abstract Copy Title: Capacity and Factors Affecting Capacity Utilization of Marine Fisheries: A Case of Gill-net Fleet in the Bay of Bengal Author: Alam, Ferdous, Khan, Md Akhtaruzzaman, Guttormsen, Atle presentation Title: Capacity and Factors Affecting Capacity Utilization of Marine Fisheries: A Case of Gill-net Fleet in the Bay of Bengal Author: Alam, Ferdous, Khan, Md Akhtaruzzaman, Guttormsen, Atle presentation Close

• 7. [Article] Capacity Analysis and Fishery Policy: Theory vs Practice

  Research Paper

  Citation × Citation Citation Abstract Copy Title: Capacity Analysis and Fishery Policy: Theory vs Practice Author: Pascoe, Sean Research Paper Title: Capacity Analysis and Fishery Policy: Theory vs Practice Author: Pascoe, Sean Research Paper Close

• 8. [Article] An analysis of local district capacity in the implementation of Oregon's extended application collection of evidence graduation requirement

  xii, 143 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number.

  Citation × Citation Citation Abstract Copy Title: An analysis of local district capacity in the implementation of Oregon's extended application collection of evidence graduation requirement Author: Levy, Theresa A. Year: 2010, 2009 xii, 143 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number. Title: An analysis of local district capacity in the implementation of Oregon's extended application collection of evidence graduation requirement Author: Levy, Theresa A. Year: 2010, 2009 xii, 143 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number. Close

• 9. [Article] Capacity and Non-Compliance in A Quota Regulated Fishery

  Abstract only.

  Citation × Citation Citation Abstract Copy Title: Capacity and Non-Compliance in A Quota Regulated Fishery Author: Nøstbakken, Linda, Lazkano, Itziar Abstract only. Title: Capacity and Non-Compliance in A Quota Regulated Fishery Author: Nøstbakken, Linda, Lazkano, Itziar Abstract only. Close

• 10. [Article] Measuring Capacity of the New England Otter Trawl Fleet

  Measurement of capacity in marine fisheries is an important activity. An economic definition of capacity is the output level corresponding to the tangency between the long-run and short-run average cost ...

  Citation × Citation Citation Abstract Copy Title: Measuring Capacity of the New England Otter Trawl Fleet Author: Kirkley, James, Walden, John B. Year: 2001 Measurement of capacity in marine fisheries is an important activity. An economic definition of capacity is the output level corresponding to the tangency between the long-run and short-run average cost curves. A technological-engineering definition is the maximum output per unit of time provided variable inputs are unrestricted. Although cost data to support an economic measurement of capacity in fisheries are not routinely available, data are typically available to support the technologicalengineering measure of capacity. Our paper provides an assessment of the technological-engineering concept of capacity in the New England multispecies otter trawl fishing fleet. Based on Färe et al. (1994), we calculate capacity using Data Envelopment Analysis (DEA), a non-parametric technique which utilizes linear programming methods to evaluate the performance of individual firms. DEA is ideally suited to assess capacity in fisheries because it easily accommodates multiple output-multiple input technologies. The New England otter trawl fleet was used as a study fleet because it has a multi-product nature, and is comprised of a wide variety of vessel types and sizes. Title: Measuring Capacity of the New England Otter Trawl Fleet Author: Kirkley, James, Walden, John B. Year: 2001 Measurement of capacity in marine fisheries is an important activity. An economic definition of capacity is the output level corresponding to the tangency between the long-run and short-run average cost curves. A technological-engineering definition is the maximum output per unit of time provided variable inputs are unrestricted. Although cost data to support an economic measurement of capacity in fisheries are not routinely available, data are typically available to support the technologicalengineering measure of capacity. Our paper provides an assessment of the technological-engineering concept of capacity in the New England multispecies otter trawl fishing fleet. Based on Färe et al. (1994), we calculate capacity using Data Envelopment Analysis (DEA), a non-parametric technique which utilizes linear programming methods to evaluate the performance of individual firms. DEA is ideally suited to assess capacity in fisheries because it easily accommodates multiple output-multiple input technologies. The New England otter trawl fleet was used as a study fleet because it has a multi-product nature, and is comprised of a wide variety of vessel types and sizes. Close