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building technologies that were currently being used in UAE prisons and the potential criteria for their selection (unpublished data).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)

最初，本研究针对阿联酋监狱当前应用的智能建筑技术（smart building technologies）及其选型潜在标准，开展了半结构化访谈（semi-structured interviews），访谈对象为来自监狱与建筑行业的14位专家，相关数据尚未公开发表。随后，研究人员对受访者的回复进行主题分析（thematic analysis），并结合文献综述，最终在问卷中列出15项智能建筑技术与14项技术选型标准。

该问卷共包含三个部分。第一部分用于收集受访者的个人及社会经济信息，具体问题涵盖年龄、性别、就业状况、学历水平、所属机构类型及在当前机构的任职年限等。第二部分基于1至5分的李克特量表（Likert scale，其中1代表完全不重要，5代表极其重要），要求受访者对阿联酋监狱设施中正在使用的智能建筑技术的重要性进行排序。第三部分则旨在探究受访者对于阿联酋监狱智能建筑技术选型相关各项标准的相对重要性的看法。

问卷各部分的问题均采用1至5分的李克特量表进行评分（其中1代表完全不重要，5代表极其重要）。