This research study addresses the collection, preparation, and use of traffic data required for pavement design by the Arizona Department of Transportation, focusing on data required as inputs for the American Association of State Highway and Transportation Officials "Mechanistic-Empirical Pavement Design Guide" design procedures. ADOT’s current traffic data collection and preparation processes are not adequate to meet the needs of the MEPDG procedure, and improvements are needed. These improvements include enhanced volume, classification, and weight data collection for vehicles, processing data and performing quality assurance checks, and the preparation/analysis of the data for use in the MEPDG. Use of the MEPDG in Arizona will require (1) an annual flow of updated key traffic data and (2) the ability to collect on-site (MEPDG Level 1) data in a timely manner for key projects.

In the mid‐1990s, the Arizona Department of Transportation initiated the Maintenance Cost Effectiveness study (SPR 371) with the development of plans and an experiment design to evaluate the effectiveness of a variety of asphalt pavement maintenance treatments. During 1999 and 2001, ADOT oversaw the construction of hundreds of experimental sections throughout the state under the Phase I, Wearing Course Experiment (nine treatments and 82 sections at three sites), and the Phase II, Preventive Maintenance Experiment (24 treatments and 137 sections at four sites). Work continued in 2006 and 2007 under the Evaluation of Maintenance Strategies study (SPR 628) for ADOT with a yearlong program of pavement performance monitoring involving manual pavement distress surveys and automated skid, friction, and surface texture measurements at all the experimental sites. The project culminated with a detailed analysis of key pavement performance data to compare the performance of the individual treatments and determine their overall effectiveness. This report documents the independent findings of both the Phase I and II experiments.

An update to the Flagstaff Regional Plan 2030 (FRP30), to bring its Road Network Illustration (Map 25) into compliance with Arizona Revised Statute requirements and to resolve inconsistencies between Map 25 and parts of the Flagstaff City Code. This update does not alter the intent of FRP30; it is only concerned with correcting errors, removing legal vulnerability, and improving the readability of FRP30.

RTI International is working on behalf of the Arizona Department of Health Services’ Bureau of Tobacco and Chronic Disease to identify existing tobacco-related data and data needs. RTI interviewed ADHS-BTCD’s partnering organizations by telephone and conducted an environmental scan of existing public use datasets. This report describes the results obtained from the environmental scan and the partner telephone interviews, and it discusses recommendations for addressing the identified data gaps.

The Maricopa County Department of Public Health and the Southwest Interdisciplinary Research Center at Arizona State University initiated an evaluation of ASU’s Tobacco-Free Campus policy, which went into effect on August 1, 2013. The purpose of this evaluation is to assess the impacts of this policy on the ASU community and environment. This report summarizes tobacco consumption patterns, norms and perceptions surrounding tobacco use, tobacco litter on campus, and overall benefits of a tobacco-free campus both before and after policy implementation.

In 2006, the Smoke-Free Arizona Act outlawed smoking within most enclosed public spaces and places of employment primarily to reduce the exposure of individuals to harmful secondhand smoke. The purpose of the Maricopa County Smoke-Free Parks Policy Assessment is three-fold: 1) to evaluate the extent and health impact of tobacco usage in public parks; 2) analyze smoke-free parks policies that have been proposed in cities, counties, and states nationwide; and 3) to assess the feasibility of introducing and implementing similar policies in Arizona, and in Maricopa County in particular.

Almost every state hopes to capitalize on the tremendous wealth and job creation that can be generated by high tech science research-and billions of public dollars are being spent. But everyone is just speculating about the lasting value of these investments. While traditional assessments of return on public investment in science and technology tend to track short-term impacts, such as salaries, patents, and licensing revenues, the main foundations for long-term development of a knowledge economy appear to rely on a number of less tangible accomplishments. For example: Connections - the networks that develop between researchers, entrepreneurs, and venture capitalists; Attention - the publicity generated by the research and its networks that attract businesses and talent to locate in a region; and Talent - the highly skilled workers that such research attracts and trains.

These three indicators of economic success-henceforth called the CAT measures-have yet to be quantified and applied in a useful manner. That is the purpose of this study. It will be conducted in three parts, each with a culminating report. The first part will analyze the FY03 science and technology research activities and results for ASU's Proposition 301 initiatives. The second will develop a methodology for quantifying and utilizing the Institute's CAT measures. The third will field test the CAT methodology on a selected aspect of ASU's Proposition 301-funded research, and analyze results to provide Arizona decision-makers with recommendations to guide future policy.

Maricopa County has experienced remarkable population growth for decades, and will continue to do so. But while expanding metro areas tend to pay close attention to physical infrastructure—diligently budgeting for roads, sewers, schools and the like—there is often a relative lack of attention to meeting the future demands for human services. Relying on the expertise from throughout the College of Public Programs, this report analyzes 12 critically important topics, including children and families, poverty, substance abuse, and Latinos.