The Decision Center for a Desert City at Arizona State University was established in 2004 with funding from the National Science Foundation to advance the scientific understanding of environmental decision making under uncertainty. With additional funding awarded by NSF in 2010, "DCDC II" has expanded its already extensive research agenda, engaged the policy-making community, and built stronger ties between scientific knowledge and decision making enterprises. New DCDC research has developed fundamental knowledge about decision making under uncertainty from three interdisciplinary perspectives: climate impacts, urban dynamics, and adaptation decisions. Simulation modeling and boundary organization studies cut across these themes and are a core component of DCDC activities.

DCDC is focused on developing, implementing, and studying an interdisciplinary decision-support process for environmental decision making based on principles derived from social science research. Through an integrated approach to research, education, and community and institutional outreach, DCDC is training a new generation of scientists who can work successfully at the boundaries of science and policy. Broader impacts are realized as research informs innovative solutions to society’s pressing environmental challenges. To accomplish these goals, DCDC has built a dynamic bridge between ASU and local, regional, and national policy communities to foster local to-global solutions for water sustainability and urban climate adaptation.

The list was compiled by the Department of Water Resources in cooperation with the Landscape Technical committee of the Arizona Municipal Water Users Association, comprised of experts from the Desert Botanical Garden, the Arizona Department of Transportation and various municipal, nursery and landscape specialists. Individuals wishing to add or delete plants from the list may submit information to the Director of the Arizona Department of Water Resources for consideration.

This report describes the economic impacts of travel to and through Arizona and the state’s fifteen counties. The estimates of the direct impacts associated with traveler spending in Arizona were produced using the Regional Travel Impact Model developed by Dean Runyan Associates. The estimates for Arizona are comparable to the U.S. Travel and Tourism Satellite Accounts produced by the Bureau of Economic Analysis. The estimates of spending, earnings, employment and tax receipts are also used as input data to derive estimates of other economic measures, including gross domestic product and secondary effects of the travel industry.

The Arizona Department of Transportation, the Arizona Game & Fish Department and the Arizona State Parks Board are required to conduct a study every three years on watercraft fuel consumption and recreational watercraft usage. The fuel consumption data is collected to determine the allocation of motor vehicle fuel tax to the State Lake Improvement Fund. The information on recreational watercraft usage patterns on Arizona’s lakes and rivers is necessary, in part, to determine the distribution of SLIF funds to applicants.

In fiscal year 2012, Fowler Elementary School District’s student achievement was slightly higher than the peer districts’ averages, and the District operated efficiently. The District’s administrative cost per pupil was similar to the peer districts’ average, and it employed proper accounting and computer controls. The District’s plant operations costs per pupil and per square foot were lower than the peer districts’ averages primarily because of lower energy costs. Additionally, the District’s food service cost per meal was lower than the peer districts’ average, and the program was self-sufficient, in part, because the District paid the vendor that ran its program lower administrative and management fees than peer districts, on average. Further, the District’s transportation program was efficient, with lower costs per mile and per rider and efficient bus routes. However, the District did not accurately report its number of riders transported, which resulted in substantial overfunding for fiscal years 2011 through 2014.

In fiscal year 2012, Isaac Elementary School District’s student achievement was similar to peer district averages, and the District’s operational efficiencies were mixed, with much higher administrative and plant operations costs than peer districts’ averages but lower food service costs. Between fiscal years 2007 and 2012, the District decreased its classroom spending while it increased nonclassroom spending, primarily for administration and plant operations. At the end of fiscal year 2011, the District closed two schools to reduce costs, but its administrative and plant operations costs remained high, partly because of higher staffing levels. The District’s transportation program operated efficient bus routes but had much higher costs per mile and per rider than peer districts’, partly because it operated a smaller program but also because it offered more generous benefits. Finally, the District lacked adequate controls over user access to its computer network and systems.

Phoenix Sky Harbor International Airport completed a comprehensive analysis of the cargo service opportunities of Phoenix metropolitan airports, specifically Phoenix Sky Harbor International, Phoenix Deer Valley, Phoenix Goodyear, and Phoenix Mesa Gateway Airports. The Study researched regional air cargo opportunities, forecasted regional air cargo demand, determined necessary facilities and infrastructure at Phoenix region airports, identified market opportunities and outlined approaches for further development.

This report presents the results of a study of vehicle occupancy conducted in Phoenix, Arizona to determine what factors have the greatest influence on having persons travel together to make trips in private vehicles. Although the data were collected in the Phoenix metropolitan area for the purpose of refining the MAGTPO mode split model for vehicle trips, the conclusions reached in this study of vehicle occupancy are also intended to be checked against data from other metropolitan areas.