Maximizing the benefits of courtroom POEs in design decision support and academic inquiry through a unified conceptual model.
MetadataShow full item record
Post-occupancy evaluations represent an important missed opportunity. While POEs are often used to inform design guides, and to support facility management, they are seldom used to support design decision-making. While there are several technical, methodological, and cultural impediments to the ongoing use of POE results in design, characteristics of POE data and data structure is an important, and often overlooked, impediment. Some evaluators have attempted to resolve this problem by involving actively as consultants in design teams or involving users, such as Placemaking or Process Architecture. Recent advances in conceptual data modeling provide another strategy to interface POE findings and design decision-making. This thesis uses EXPRESS modeling language to develop a conceptual data structure for POE data, and integrate POE data with as-built building descriptions. While this effort has the potential to develop an improved way to structure POE data and make it more useful, it is also an extension of ISO-STEP. This study develops a data structure based on post-occupancy evaluations of state and federal trial courtrooms conducted by the researcher. Thirty-one courtrooms were evaluated, resulting in usable data from 93 courtroom users in 26 courtrooms. An EXPRESS-G schema was developed and was translated into a relational database for holding data and running queries. The investigator illustrated a range of query-generated outcomes to support decision-making during design and design review. Such outcomes include exploring existing courtrooms, comprehending the types of design decisions implemented across federal and state courtrooms, identifying design decisions that have been rated favorably or otherwise by courtroom users, rating design decisions based on evaluation data from existing courtrooms, and predicting a designed environments supportiveness to task performance. Further, multivariate analysis of the POE data provides the first scientific investigation of courtrooms as work settings. Finally, eight key performance indicators of courtrooms were developed based on the POE data.