Identifying Key Selection Criteria for Smart Building Technologies in The United Arab Emirates Prisons

Initially, semi-structured interviews were conducted involving 14 experts from prison and construction sectors for their opinions on smart building technologies that were currently being used in UAE prisons and the potential criteria for their selection (unpublished data). After conducting a thematic analysis of the interviewees’ responses and literature review, 15 smart building technologies and 14 criteria on how to select these technologies were listed in the questionnaire.

The questionnaire contains three sections. The first section included questions on the respondents’ personal and socio-economic information such as age, gender, employment status, education level, type of organization, and the number of years with the organization. The next section was designed to rank the smart building technologies being used in prison facilities in UAE based on the Likert scale ranging from 1 to 5 (where 1 represented not important at all, and 5 represented extremely important) regarding their importance. The last section explored the opinion of respondents on the relative importance of different criteria for the selection of smart building technologies in the UAE prisons based.

Responses to questions in each section were measured on a Likert scale ranging from 1–5 (where 1 represented not important at all, and 5 represented extremely important)

起初，针对来自监狱和建筑行业共14位专家进行了半结构化访谈，以征询他们对目前在阿联酋监狱中应用的智能建筑技术及其选择标准的看法（未发表数据）。通过对受访者回应及文献综述的主题分析，问卷中列出了15项智能建筑技术及其14项选择标准。问卷分为三个部分。第一部分包含关于受访者个人及社会经济信息的提问，如年龄、性别、就业状态、教育程度、组织类型以及在该组织工作年限。第二部分旨在根据受访者对智能建筑技术在阿联酋监狱设施中应用重要性的评价（采用1至5分的Likert量表，其中1分代表完全不重要，5分代表极其重要），对监狱设施中应用的智能建筑技术进行排序。最后一部分则探讨了受访者对不同标准在阿联酋监狱选择智能建筑技术相对重要性的看法。每个部分的回答均采用1至5分的Likert量表进行测量，其中1分代表完全不重要，5分代表极其重要。