Towards a smart campus: Supporting campus decisions with internet of things applications

Valks, B; Arkesteijn, M H; Koutamanis, A and den Heijer, A C (2021) Towards a smart campus: Supporting campus decisions with internet of things applications. Building Research & Information, 49(1), pp. 1-20. ISSN 0961-3218

Abstract

At universities worldwide, creating a 'smart campus' is gaining significance. This is a response to the increasingly dynamic use of the campus and the pressure on resources: energy, financial and human resources. The university community has become more mobile, student numbers more unpredictable and funding more uncertain. Consequently, campus strategies focus on resource efficiency and sharing space, requiring investment in management information to improve decision making. The Internet of Things (IoT) can help to provide big data about use patterns: by collecting real-time data on space utilization, users can make better use of current spaces and real estate managers can make better decisions about long-term demand. Furthermore, space utilisation data can be complemented with user feedback data and environmental variables, e.g. noise levels, luminance. In this research we identify the capabilities of existing IoT applications through a literature study. Literature also suggests that information from IoT applications is not utilized in organisational decision-making processes. Through four case studies we analyse these decision-making processes and identify the process-level requirements to make strategic decisions in campus management. Then we show how information from the IoT can be directly connected to these processes, thus providing a valuable addition of real-time data as input.

Item Type: Article
Uncontrolled Keywords: decision making; internet of things; real estate management; smart campus; use patterns
Index terms: real-time data, real estate, decision-making process, big data, human resource, resource efficiency, manager, case study, decision-making, funding, strategy, internet
Subjects: data collection methods, computing systems, practitioner, decision analysis, real estate economics, economic analysis, management, data management, information systems
Topics: Human Resources, Business Strategy, Urban Studies, Digital Applications, Risk Management, Roles and Professions, Research Practice
Descriptive scope: 3 PCE

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here