Learning Resources

Abstract: U.S. transportation data suggest that the number of vehicle miles traveled has far surpassed new capacity, resulting in increased traffic congestion in many communities throughout the country. This article reports on traffic congestion around a university campus located within a small town. The mix of trip purposes varies considerably in this context, with the majority of trips related to student movement to and from classes. The university itself becomes a major traffic generator, but in a complex way. This article describes how congestion in a university setting differs from that in a nonuniversity setting; what components drive this congestion; how best to reduce this congestion while adhering to overall university planning objectives; and how to set a foundation for traffic management strategies that provide environmental, social, and economic benefit to the university and, importantly, to the surrounding community. The information presented here applies beyond the campus setting to any community that contains nontraditional traffic generators and shows why context does matter when analyzing and managing traffic.

Abstract: A simple and readily understandable visual display of quantitative measures of academic efficiency and productivity is demonstrated in this article. This graphical construction facilitates annual comparisons of unit efficiency and productivity as well as an analysis of temporal changes in unit activity. By establishing a common framework upon which a data-driven conversation regarding unit activity is constructed, this method produces a single graphical representation of the activities of any academic unit. As such, this technique assists academic decision makers with goal setting, resource allocation and reallocation, and the program prioritization process.

Abstract: Using a case study, this article describes a method by which higher education institutions construct and use multiple future scenarios and simulations to plan strategically: to create visions of their futures, chart broad directions (mission and goals), and select learning and delivery strategies so as to achieve those broad directions. The four scenarios described in this article are written by combining two assumed “external” sets of future trends and conditions with two “internal” sets of institutional policies. Simulation of future college enrollment under each scenario enables planners not only to mitigate uncertainty and explore implications of different numbers of students but also to analyze the characteristics of these students to design educational content and delivery that is learning centered and, therefore, likely to be effective. The simulations also frame fiscal issues for a broad range of future conditions, thereby alerting planners to long-range strategies and options such as distance learning, partnering, and differential pricing, among others, that might not otherwise have been pursued.

Abstract: In this article, we discuss a method for developing and writing scenarios for a college or university. We begin by reviewing the general literature on scenarios; we then detail a scenario development project at Arizona State University. This project, conducted in 1988–89, was Arizona State University's first institution-wide, futures-based planning and scenario development effort. The focus of the project for Arizona State University was planning and programming for affirmative action. An outside consultant facilitated the group-process portion of the project and instructed university staff in scenario development. Staff in the university's Office of Institutional Analysis then developed and wrote a set of three scenarios to guide the university's affirmative action programming and planning during the decade of the nineties.