Study workplace space occupancy: a review of measures and technologies

Author:

Zhou Yaoyi,Hua Ying,Liu Jingyang

Abstract

Purpose The purpose of this paper is to review the use of technologies for measuring space occupancy to guide the selection of appropriate tools for workplace post-occupancy evaluation (POE) studies. The authors focus on how actual space occupancy was measured in previous studies and the pros and cons of the different technologies and tools. This paper also addresses research gaps and directions for future research. Design/methodology/approach The space occupancy measures/tools are categorized based on the three types of technologies: environmental/ambient sensors, wearable sensors/smartphones and computer vision. A total of 50 studies are reviewed to identify the capabilities and limitations of these measurements. Findings Based on review results, the authors propose that although sensor technology can be a useful addition to the measures/tools list, a comprehensive review of the research goal, the occupants' behavior, and the environmental settings' characteristics should be conducted beforehand. Selecting appropriate technology is critical for collecting the proper behavioral data type, with a lower level of surveillance and increased validity. Originality/value This paper urges critical thinking about existing occupancy measures/tools across various fields, to inform the adoption and creation of new building occupancy measures. The knowledge of emerging sensor technology allows researchers to better study the temporal patterns of occupant behavior over extended periods and in a wide range of settings.

Publisher

Emerald

Subject

Management of Technology and Innovation,Strategy and Management,Business and International Management

Reference88 articles.

1. Wireless sensor networks for healthcare: a survey;Computer Networks,2010

2. Developing English domestic occupancy profiles;Building Research and Information,2019

3. ThermoSense: occupancy thermal based sensing for HVAC control,2013

4. Towards a sensor for detecting human presence and characterizing activity;Energy and Buildings,2011

5. Office design's impact on sick leave rates;Ergonomics,2014

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