An Optimum Allocation Approach to Closing or Relocating Highway Maintenance Garages in Iowa, 1981

Highway maintenance engineers and administrators are often confronted with a number of problems related to highway maintenance work programs. One of these problems is concerned with determining the optimum number and locations of highway maintenance garages in a given area. Serious decline in highway revenues and a high inflation rate have made it necessary to examine existing maintenance practices and to allocate reduced financial resources more effectively and efficiently. Searching for and providing of reasonable solutions to these problems is the focus of this research project. The methodology used is to identify and modify for use (if necessary) those models which have already been developed. Models which could give optimum number and locations of highway maintenance garages were found to be too theoretical and/or practically infeasible. Consequently, research focus was shifted from these models to other models that could compare alternatives and select the best among these alternatives. Three such models -- the Alabama model, California model, and Louisiana model, were identified and studied.

Iowa Crime Rate Comparisons Report, Iowa Department of Public Safety,1999

This report describes how Iowa compares to other states in the nation. To promote consistency, the Iowa totals and the other states’ information have been taken entirely from the FBI’s national publication called Crime in the United States; 1999. The Iowa information in Crime in the United States; 1999 is based upon actual summary totals for selected reporting jurisdictions and produced by the U.S. Department of Justice, F.B.I. These Iowa totals cannot be compared to the 1999 Incident-Based Iowa Uniform Crime Reports, which are based on actual totals for all reporting Iowa law enforcement jurisdictions.

Iowa Crime Rate Comparisons Report, 2000

This report describes how Iowa compares to other states in the nation. To promote consistency, the Iowa totals and the other states’ information have been taken entirely from the FBI’s national publication called Crime in the United States; 2000. The Iowa information in Crime in the United States; 2000 is based upon actual summary totals for selected reporting jurisdictions and produced by the U.S. Department of Justice, F.B.I. These Iowa totals cannot be compared to the 2000 Incident-Based Iowa Uniform Crime reports, which are based on actual totals for all reporting Iowa law enforcement jurisdictions.

Iowa Crime Rate Comparisons Report, Iowa Department of Public Safety, 2001

This report describes how Iowa compares to other states in the nation. To promote consistency, the Iowa totals and the other states’ information have been taken entirely from the FBI’s national publication called Crime in the United States; 2001. The Iowa information in Crime in the United States; 2001 is based upon actual summary totals for selected reporting jurisdictions and produced by the U.S. Department of Justice, F.B.I. These Iowa totals cannot be compared to the 2001 Incident-Based Iowa Uniform Crime Reports, which are based on actual totals for all reporting Iowa law enforcement jurisdictions.

Iowa Crime Rate Comparisons Report, Iowa Department of Public Safety,1998

This report describes how Iowa compares to other states in the nation. To promote consistency, the Iowa totals and the other states’ information have been taken entirely from the FBI’s national publication called Crime in the United States; 1998. The Iowa information in Crime in the United States; 1998 is based upon actual summary totals for selected reporting jurisdictions and produced by the U.S. Department of Justice, F.B.I. These Iowa totals cannot be compared to the 1998 Incident-Based Iowa Uniform Crime Reports which are based on actual totals for all reporting Iowa law enforcement jurisdictions.

Iowa Prison Population Forecast FY 2003-2013

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Iowa Prison Population Forecast FY 2002-2012

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Iowa Prison Population Forecast, FY 2002-2011

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Iowa Prison Population Forecast FY 2001-2010

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Iowa Prison Population Forecast FY 2000-2009

CJJP takes a look at the forecast of inmates population in the state of Iowa in a ten year period. Information was produced by Division of Criminal and Juvenile Justice Planning. This report was made possible partially through funding from the U.S. Department of Justice, Bureau of Justice Statistics and its program for State Statistical Analysis Centers. Points of view or opinions expressed in this report are those of the Division of Criminal and Juvenile Justice Planning (CJJP), and do not necessarily reflect official positions of the U.S. Department of Justice.

Concepts and Rationale for Regional Nitrogen Rate Guidelines for Corn, April 2006

Nitrogen (N) is typically one of the largest corn fertilization expenses. Nitrogen application is critical because it signifi cantly improves corn yield in many crop rotations. When choosing N rates, producers need to carefully consider both achieving most profi table economic return and advancing environmental stewardship. In 2004, university agronomists from the Corn Belt states began discussions regarding N rate use for corn production. The reasons for the discussions centered on apparent differences in methods for determining N rates across states, misperceptions regarding N rate guidelines, and concerns about application rates as corn yields have climbed to historic levels. An outcome of those discussions was an effort with the objectives to: ▪ develop N rate guidelines that could be applicable on a regional basis and ▪ identify the most profi table fertilizer N rates for corn production across the Corn Belt. This publication provides an overview of corn N fertilization in regard to rate of application, investigates concepts for determining economic application rates, and describes a suggested regional approach for developing corn N rate guidelines directly from recent research data.

The Effect of Four-Lane to Three-Lane Conversion on the Number of Crashes and Crash Rates in Iowa Roads, June 2005

We analyze crash data collected by the Iowa Department of Transportation using Bayesian methods. The data set includes monthly crash numbers, estimated monthly traffic volumes, site length and other information collected at 30 paired sites in Iowa over more than 20 years during which an intervention experiment was set up. The intervention consisted in transforming 15 undivided road segments from four-lane to three lanes, while an additional 15 segments, thought to be comparable in terms of traffic safety-related characteristics were not converted. The main objective of this work is to find out whether the intervention reduces the number of crashes and the crash rates at the treated sites. We fitted a hierarchical Poisson regression model with a change-point to the number of monthly crashes per mile at each of the sites. Explanatory variables in the model included estimated monthly traffic volume, time, an indicator for intervention reflecting whether the site was a “treatment” or a “control” site, and various interactions. We accounted for seasonal effects in the number of crashes at a site by including smooth trigonometric functions with three different periods to reflect the four seasons of the year. A change-point at the month and year in which the intervention was completed for treated sites was also included. The number of crashes at a site can be thought to follow a Poisson distribution. To estimate the association between crashes and the explanatory variables, we used a log link function and added a random effect to account for overdispersion and for autocorrelation among observations obtained at the same site. We used proper but non-informative priors for all parameters in the model, and carried out all calculations using Markov chain Monte Carlo methods implemented in WinBUGS. We evaluated the effect of the four to three-lane conversion by comparing the expected number of crashes per year per mile during the years preceding the conversion and following the conversion for treatment and control sites. We estimated this difference using the observed traffic volumes at each site and also on a per 100,000,000 vehicles. We also conducted a prospective analysis to forecast the expected number of crashes per mile at each site in the study one year, three years and five years following the four to three-lane conversion. Posterior predictive distributions of the number of crashes, the crash rate and the percent reduction in crashes per mile were obtained for each site for the months of January and June one, three and five years after completion of the intervention. The model appears to fit the data well. We found that in most sites, the intervention was effective and reduced the number of crashes. Overall, and for the observed traffic volumes, the reduction in the expected number of crashes per year and mile at converted sites was 32.3% (31.4% to 33.5% with 95% probability) while at the control sites, the reduction was estimated to be 7.1% (5.7% to 8.2% with 95% probability). When the reduction in the expected number of crashes per year, mile and 100,000,000 AADT was computed, the estimates were 44.3% (43.9% to 44.6%) and 25.5% (24.6% to 26.0%) for converted and control sites, respectively. In both cases, the difference in the percent reduction in the expected number of crashes during the years following the conversion was significantly larger at converted sites than at control sites, even though the number of crashes appears to decline over time at all sites. Results indicate that the reduction in the expected number of sites per mile has a steeper negative slope at converted than at control sites. Consistent with this, the forecasted reduction in the number of crashes per year and mile during the years after completion of the conversion at converted sites is more pronounced than at control sites. Seasonal effects on the number of crashes have been well-documented. In this dataset, we found that, as expected, the expected number of monthly crashes per mile tends to be higher during winter months than during the rest of the year. Perhaps more interestingly, we found that there is an interaction between the four to three-lane conversion and season; the reduction in the number of crashes appears to be more pronounced during months, when the weather is nice than during other times of the year, even though a reduction was estimated for the entire year. Thus, it appears that the four to three-lane conversion, while effective year-round, is particularly effective in reducing the expected number of crashes in nice weather.

Iowa Climate Change Advisory Council Final Report 2008.

On April 27, 2007, Iowa Governor Chet Culver signed Senate File 485, a bill related to greenhouse gas emissions. Part of this bill created the Iowa Climate Change Advisory Council (ICCAC), which consists of 23 governor-appointed members from various stakeholder groups, and 4 nonvoting, ex officio members from the General Assembly. ICCAC’s immediate responsibilities included submitting a proposal to the Governor and General Assembly that addresses policies, cost-effective strategies, and multiple scenarios designed to reduce statewide greenhouse gas emissions. Further, a preliminary report was submitted in January 2008, with a final proposal submitted in December 2008. In the Final Report, the Council presents two scenarios designed to reduce statewide greenhouse gas emissions by 50% and 90% from a 2005 baseline by the year 2050. For the 50% reduction by 2050, the Council recommends approximately a 1% reduction by 2012 and an 11% reduction by 2020. For the 90% reduction scenario, the Council recommends a 3% reduction by 2012 and a 22% reduction 2020. These interim targets were based on a simple extrapolation assuming a linear rate of reduction between now and 2050. In providing these scenarios for your consideration, ICCAC approved 56 policy options from a large number of possibilities. There are more than enough options to reach the interim and final emission targets in both the 50% and 90% reduction scenarios. Direct costs and cost savings of these policy options were also evaluated with the help of The Center for Climate Strategies, who facilitated the process and provided technical assistance throughout the entire process, and who developed the Iowa Greenhouse Gas Emissions Inventory and Forecast in close consultation with the Iowa Department of Natural Resources (IDNR) and many Council and Sub-Committee members. About half of the policy options presented in this report will not only reduce GHG emissions but are highly cost-effective and will save Iowans money. Still other options may require significant investment but will create jobs, stimulate energy independence, and advance future regional or federal GHG programs.

Prison Return Rate Down, Data Download, Iowa Department of Corrections, October 2010

The Iowa Department of Corrections has set a goal to reduce the rate of return to prison – whether due to new convictions or technical violations – to 33.3%. Preliminary findings show that that goal has been achieved for FY 07 releasees, with recidivism rates the lowest among the three years studied.

Special Sentence Revocations High, Data Download, Iowa Department of Corrections, May 2010

In addition to their original sentence, persons convicted of sexual abuse, incest or sexual exploitation of a minor also receive a “special sentence” of ten years, or in some cases, life. In its prison population forecast, the Iowa Division of Criminal and Juvenile Justice Planning noted “an unexpectedly high rate of revocation among those released to the special sentence, particularly given past research that has shown Iowa sex offenders having very low rates of re-arrest and/or return to prison.”