Learning Resources

Abstract: Master planning often assumes "what should we build next?" without looking at how we can better use what we have now. Before its master plan, The University of Puget Sound assessed its learning environments to test how existing buildings could be better utilized or improved. The team will share how they used software tools to assess and improve the utilization of their learning environments.

Abstract: Using an administrative sustainability framework, we studied the decision process as it relates to space allocation. Those making the decision were academic faculty at a mid-sized urban Canadian university. We present recommendations for decision makers with resource allocation responsibilities.

Abstract: This session describes how we used data visualization to spark critical conversations as we evolved 1960s-era space guidelines into modern approaches. Key aspects of the space planning process at California State University-Chico were facilitated through data-informed discussions involving demographics and space analytics, which were used to align our plan with strategic directions, pedagogy, and anticipated resources. We'll share how space and campus planning discussions can be informed by environmental scanning tools, benchmarking, data visualization techniques, and scenario-based modeling.

Abstract: Institutional data trends over time is important to show progress or areas of concern. It can be equally important to compare oneself to like institutions. Have you ever thought about how a peer group gets determined? If you have a peer group, have you ever wanted to evaluate the group using data? You will learn an approach for developing a data-informed peer group and how benchmarking with a peer group can inform your institution's governing board and be linked to mission.

Abstract: Innovative leaders must promote and cultivate a data culture that informs decision making across an institution. In this session, we will discuss data strategies for capital and facilities planning that enable real-time mobile access to planning tools, automated project tracking, metrics, and building transparency in order to support the planning and execution process. Come learn about agile development of available open source tools that enable cost-effective data strategies, including automated processes, and the development and implementation of planning and execution tools.

Abstract: This report from the SCUP Campus Facilities Inventory (CFI) aggregates space data submitted to the CFI survey from 2006 and 2007. Institutions submitting a CFI survey quantify how their space is allocated using classifications from the National Center for Education Statistics (NCES) Facilities Inventory and Classification Manual (FICM).

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.