Ag Decision Maker, June 2015, Vol. 19, no. 8

A Business Newsletter for Agriculture

Ag Decision Maker, July 2015, Vol. 19, no. 9

A Business Newsletter for Agriculture

Ag Decision Maker, August 2015, Vol. 19, no. 10

A Business Newsletter for Agriculture

Ag Decision Maker, September 2015, Vol. 19, no. 11

A Business Newsletter for Agriculture

Ag Decision Maker, October 2015, Vol. 19, no. 12

A Business Newsletter for Agriculture

Ag Decision Maker, November 2015, Vol. 20, no. 1

A Business Newsletter for Agriculture

Iowa Pavement Asset Management Decision-Making Framework & Pavement Treatment Selection Tool for Local Agencies, TR-651, 2015

Most local agencies in Iowa currently make their pavement treatment decisions based on their limited experience due primarily to lack of a systematic decision-making framework and a decision-aid tool. The lack of objective condition assessment data of agency pavements also contributes to this problem. This study developed a systematic pavement treatment selection framework for local agencies to assist them in selecting the most appropriate treatment and to help justify their maintenance and rehabilitation decisions. The framework is based on an extensive literature review of the various pavement treatment techniques in terms of their technical applicability and limitations, meaningful practices of neighboring states, and the results of a survey of local agencies. The treatment selection framework involves three different steps: pavement condition assessment, selection of technically feasible treatments using decision trees, and selection of the most appropriate treatment considering the return-on-investment (ROI) and other non-economic factors. An Excel-based spreadsheet tool that automates the treatment selection framework was also developed, along with a standalone user guide for the tool. The Pavement Treatment Selection Tool (PTST) for Local Agencies allows users to enter the severity and extent levels of existing distresses and then, recommends a set of technically feasible treatments. The tool also evaluates the ROI of each feasible treatment and, if necessary, it can also evaluate the non-economic value of each treatment option to help determine the most appropriate treatment for the pavement. It is expected that the framework and tool will help local agencies improve their pavement asset management practices significantly and make better economic and defensible decisions on pavement treatment selection.

The Annual Condition of Iowa's Community Colleges 2014: Tables

The Iowa Department of Education collects data on fiscal year credit enrollment, non-credit enrollment, economic development programs, and institutional data (i.e., faculty information, tuition). This report summarizes several aspects of the data.

The Annual Condition of Iowa's Community Colleges 2013: Tables

The Iowa Department of Education collects data on fiscal year credit enrollment, non-credit enrollment, economic development programs, and institutional data (i.e., faculty information, tuition). This report summarizes several aspects of the data.

Ag Decision Maker, December 2015, Vol. 20, no. 2

A Business Newsletter for Agriculture

Deploying the Maintenance Decision Support System (MDSS) in Iowa, 2003

Adverse weather conditions dramatically affect the nation’s surface transportation system. The development of a prototype winter Maintenance Decision Support System (MDSS) is part of the Federal Highway Administration’s effort to produce a prototype tool for decision support to winter road maintenance managers to help make the highways safer for the traveling public. The MDSS is based on leading diagnostic and prognostic weather research capabilities and road condition algorithms, which are being developed at national research centers. In 2003, the Iowa Department of Transportation was chosen as a field test bed for the continuing development of this important research program. The Center for Transportation Research and Education assisted the Iowa Department of Transportation by collecting and analyzing surface condition data. The Federal Highway Administration also selected five national research centers to participate in the development of the prototype MDSS. It is anticipated that components of the prototype MDSS system developed by this project will ultimately be deployed by road operating agencies, including state departments of transportation, and generally supplied by private vendors.

Ag Decision Maker, January 2016, Vol. 20, no. 3

A Business Newsletter for Agriculture

Ag Decision Maker, March 2016, Vol. 20, no. 5

A Business Newsletter for Agriculture

Ag Decision Maker, April 2016, Vol. 20, no. 6

A Business Newsletter for Agriculture

Ag Decision Maker, May 2016, Vol. 20, no. 7

A Business Newsletter for Agriculture