Economies of Feedlot Scale, Biosecurity, Investment, and Endemic Livestock Disease, September 2006

Infectious livestock disease creates externalities for proximate animal production enterprises. The distribution of production scale within a region should influence and be influenced by these disease externalities. Taking the distribution of the unit costs of stocking an animal as primitive, we show that an increase in the variance of these unit costs reduces consumer surplus. The effect on producer surplus, total surplus, and animal concentration across feedlots depends on the demand elasticity. A subsidy to smaller herds can reduce social welfare and immiserize the farm sector by increasing the extent of disease. While Nash behavior involves excessive stocking, disease effects can be such that aggregate output declines relative to first-best. Disease externalities can induce more adoption of a cost-reducing technology by larger herds so that animals become more concentrated across herds. For strategic reasons, excess overall adoption of the innovation may occur. Larger herds are also more likely to adopt biosecurity innovations, explaining why larger herds may be less diseased in equilibrium.

Multimodal Investment Analysis Methodology, Phase One: The Conceptual Model, 1998

The purpose of this project is to develop an investment analysis model that integrates the capabilities of four types of analysis for use in evaluating interurban transportation system improvements. The project will also explore the use of new data warehousing and mining techniques to design the types of databases required for supporting such a comprehensive transportation model. The project consists of four phases. The first phase, which is documented in this report, involves development of the conceptual foundation for the model. Prior research is reviewed in Chapter 1, which is composed of three major sections providing demand modeling background information for passenger transportation, transportation of freight (manufactured products and supplies), and transportation of natural resources and agricultural commodities. Material from the literature on geographic information systems makes up Chapter 2. Database models for the national and regional economies and for the transportation and logistics network are conceptualized in Chapter 3. Demand forecasting of transportation service requirements is introduced in Chapter 4, with separate sections for passenger transportation, freight transportation, and transportation of natural resources and commodities. Characteristics and capacities of the different modes, modal choices, and route assignments are discussed in Chapter 5. Chapter 6 concludes with a general discussion of the economic impacts and feedback of multimodal transportation activities and facilities.

VISSIM Calibration for Urban Freeways, 2015

In urban areas, interchange spacing and the adequacy of design for weaving, merge, and diverge areas can significantly influence available capacity. Traffic microsimulation tools allow detailed analyses of these critical areas in complex locations that often yield results that differ from the generalized approach of the Highway Capacity Manual. In order to obtain valid results, various inputs should be calibrated to local conditions. This project investigated basic calibration factors for the simulation of traffic conditions within an urban freeway merge/diverge environment. By collecting and analyzing urban freeway traffic data from multiple sources, specific Iowa-based calibration factors for use in VISSIM were developed. In particular, a repeatable methodology for collecting standstill distance and headway/time gap data on urban freeways was applied to locations throughout the state of Iowa. This collection process relies on the manual processing of video for standstill distances and individual vehicle data from radar detectors to measure the headways/time gaps. By comparing the data collected from different locations, it was found that standstill distances vary by location and lead-follow vehicle types. Headways and time gaps were found to be consistent within the same driver population and across different driver populations when the conditions were similar. Both standstill distance and headway/time gap were found to follow fairly dispersed and skewed distributions. Therefore, it is recommended that microsimulation models be modified to include the option for standstill distance and headway/time gap to follow distributions as well as be set separately for different vehicle classes. In addition, for the driving behavior parameters that cannot be easily collected, a sensitivity analysis was conducted to examine the impact of these parameters on the capacity of the facility. The sensitivity analysis results can be used as a reference to manually adjust parameters to match the simulation results to the observed traffic conditions. A well-calibrated microsimulation model can enable a higher level of fidelity in modeling traffic behavior and serve to improve decision making in balancing need with investment.

Return on Investment Program FYs 10, 11 and 12 Project Status Report, January 15, 2014

DAS is required to report on projects funded through the Return on Investment Program (ROI). The ROI program has been funded through an appropriation from the Technology Reinvestment Fund. The Technology Reinvestment Fund was created during the 2006 legislative session, and the first appropriations from this fund were for FY 2006-2007. The first report related to that fiscal year and was delivered to the legislature by January 1, 2008. This current report updates projects from fiscal years 10, 11 and 12.

Return on Investment Program FYs 11 and 12 Project Status Report, January 1, 2015

The Office of the Chief Information Officer is required to report on projects funded through the Return on Investment Program (ROI). The ROI program has been funded through an appropriation from the Technology Reinvestment Fund. The Technology Reinvestment Fund was created during the 2006 legislative session, and the first appropriations from this fund were for FY 2006-2007. The first report related to that fiscal year and was delivered to the legislature by January 1, 2008. This current report updates projects from fiscal years 11 and 12.