In September 2004, ADOT awarded a contract for the Pinal County Corridors Definition Study to Kimley-Horn and Associates. The scope of the Pinal County Corridors Definition Study included the following activities:
* Confirm the need for the East Valley and the North-South corridors;
* Define planning-level corridor definition alternatives;
* Perform a technical assessment of engineering, environmental, and land use compatibility constraints opportunities for the planning-level corridor definition alternatives;
* Identify to the extent possible, feasible and preferred planning-level corridor definitions on the basis of the technical evaluation;
* Document planning-level costs of corridor development (including studies, design, construction, and right-of-way costs) for the preferred corridor definitions.

The Pinal County Corridors Definition Study resulted in sufficient detail to provide a basis for the future establishment of geometric roadway alignments and corridor design concepts, the preservation of right-of-way, and the identification of required environmental clearance studies.

This report describes the development of base and future socioeconomic estimates for the Pinal Corridor Planning Model, developed by ADOT to support the evaluation of potential new highway corridors in Northern Pinal County. This section presents a summary of the methodology, data sources used, and historical trends in population and employment growth. The following two sections present the base and future year methods and resulting estimates of population and employment.

The proposed Meridian Road Corridor Study is needed to support the continuing development and growth, occurring and anticipated, in the East Mesa, West Apache Junction, and within Pinal County. The purpose of the Meridian Road Corridor Study is to document conditions along the existing roadway and to develop alternatives that will increase the safety and future level of service of Meridian Road. This study will also establish a roadway footprint and develop the ultimate right‐of‐way requirement for the corridor. Finally, the study will be utilized as a guide for local agencies and future development along the corridor. The study area for the Meridian Road Corridor Study is approximately 13 miles in length.

The best way to evaluate job quality would be to analyze a dataset that presents both occupational and industrial data, but the only dataset of this nature available by state comes from the decennial census. It is severely limited by small sample size, the latest data are for 1999, and the 1999 data are not consistent with the 1989 data. Thus, the initial work by the Seidman Institute on job quality ("Job Quality in Arizona," March 2005) presented data on Arizona job quality from several sources of either industrial or occupational data. "Job Quality in Arizona Compared to All States" (June 2005), is an extension of the March 2005 report. Arizona’s job quality in the latest year and its change over time is compared to the national
average and is ranked among the 51 “states” (including the District of Columbia).

Available data on the cost of living indicate that living costs in Arizona are close to the national average — thus, the state’s lower-than-average wages are not offset by low living costs. No productivity data exist for Arizona. Worker productivity in Arizona could be below the national average due to lesser investments in physical or human capital, which would result in lower wages. Labor market supply and demand factors are a likely cause of the low wages in Arizona. A substantial number of people seem willing to move to Arizona and accept a substandard wage in exchange for perceived qualitative advantages to living in Arizona, primarily climate.

The long-term trend toward lower-quality jobs in the United States continued between 2001 and 2004. Industrial job quality fell 1.6 percent nationally between 2001 and 2004. The decrease in occupational job quality was not quite as great at 0.9 percent. Thus, overall U.S. job quality dropped 2.5 percent during the three years, causing the U.S. average wage to be 2.5 percent less than it otherwise would have been. Arizona’s job quality fell between 2001 and 2004 at a pace worse than the national average. Relative to the national average, the industrial and occupational job mixes each slipped a bit more than 0.3 percent during the three years, for an overall decline of 0.7 percent. In Arizona, job quality in 2004 was 2.0 percent below the national average, but Arizona ranked 23rd among all states.

The quality of jobs in the United States became a national concern in the 1980s after a long period of losses of relatively high-paying manufacturing jobs and gains of frequently low-paying service jobs. National job quality remains a concern today, as witnessed by the debate in the 2004 presidential campaign. The overall average wage is a measure of prosperity or well-being, but is not in itself a measure of job quality since job quality is just one of several factors — including cost of living, productivity, and desirability of an area — that affect the overall average wage. Little information on these factors is available by state. Adjusting for job quality reduces the state-by-state variation in wages. However, even after adjusting for job quality, the average wage still varies substantially by state.

This report and the accompanying Geographic Information System (GIS) datasets summarize the results of the workshop held in Florence, Arizona in 2010. At this workshop, stakeholders representing a broad range of organizations and interests identified and mapped the locations of important wildlife linkages across Pinal County. This report provides background information on the importance and benefits of conserving wildlife linkages for both people and wildlife in Pinal County and describes the methods used during stakeholder workshops and in developing the accompanying GIS products. It includes a series of maps generated from the digitized stakeholder data that depict the general locations of wildlife linkages and potential barriers to wildlife movement within Pinal County. The maps are followed by tables with descriptive information about the habitat areas each linkage connects, the species each linkage serves, and known threats and potential conservation opportunities associated with each linkage.

Given the inevitable transportation changes associated with impending growth in Pinal County, there was a need for a method to assess how corresponding emissions changes might affect PM10 and Ozone concentrations in the county and at the monitor sites. The overall objective of the project was to develop methods or models that could be used in Pinal County to adequately address air pollution issues in the County.