Knowledge Networks For Decision Making in Infrastructure Asset Management

基础设施资产管理决策知识网络

• 批准号: RGPIN-2017-06675
• 负责人: ElDiraby, Tamer
• 金额: $ 2.04万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=650033
• 关键词: Knowledge; Networks; Decision; Making; Infrastructure

Managing our urban infrastructure systems decision making is increasingly becoming complex. A study found that in one municipality, the water management system spans 200 business processes. In Ontario, the cost of environmental assessment process rose 340% between 2010 and 2014. Average duration jumped from 19 to 27 months. According to one study, about 40% of expenditure in infrastructure construction can be saved if owners utilize advanced tools and deploy best practices. ******The goal of this proposal is to study, model and develop an environment for using social-semantic network analysis of project networks to infuse best practices in the decision making system. Project networks (PN) encompass the social networks of decision makers and citizens, networks of project documents, networks of physical project elements as represented in BIM (Building Information Modeling), their cost network (budget) and activity network (schedule). ***Students, through engagement in actual projects, will build at least 10 case studies. First, they will capture, through surveys, key attributes of each project—such as its actual social network of each (who communicates with who), decision paths, levels of actor influence. They will also collect (through Twitter interface) social media debates by citizens. Students will collect project documents, which form a semantic network of concepts. They will survey project teams to define top topics, performance levels, and the sentiment regarding both. ***Second, students will use relevant social and semantic network analysis algorithms to extract indicators for the same key attributes for each project. ***The two sets of key attributes (driven from surveys and from algorithms) will be compared, which can help define the suitability of social and semantic network analysis algorithms to the infrastructure domain. ******Through case studies and comparative analysis of surveys and algorithmic analysis students can develop models for:***Formation of sub groups or what is known communities of interest: the aim is to contrast formal and informal decision paths. ***Opinion dynamics: to measure changes of stakeholders' (including local communities) position and sentiment regarding main project topics. ***Analysis of trust: monitor trust formation between major project players. ***Ontology for PN: enumerating appropriate algorithms and their potential usage in infrastructure systems.***BIM dashboard: develop a portal to embed the results of PN analytics into the practice of project management. ******The contribution of this research work is full understating of PN and how to ingrain knowledge gained from their analysis into decision making cycles. This can help in 1) improve community engagement, 2) enhance decision making process, 3) reduce costs. All project participants can benefit from the results—particularly public officials and project decision makers as well as members of communities.

管理我们的城市基础设施系统决策变得越来越复杂。一项研究发现，在一个直辖市，水管理系统跨越200个业务流程。在安大略省，环境评估过程的成本在2010至2014年间上涨了340%。平均持续时间从19个月跃升至27个月。根据一项研究，如果业主利用先进的工具和部署最佳实践，可以节省约40%的基础设施建设支出。*本提案的目标是研究、模拟和开发一种环境，以便利用项目网络的社会语义网络分析在决策系统中注入最佳做法。项目网络(PN)包括决策者和公民的社会网络、项目文件网络、BIM(建筑信息模型)所代表的实体项目要素网络、它们的成本网络(预算)和活动网络(时间表)。*学生通过参与实际项目，将建立至少10个案例研究。首先，他们将通过调查获取每个项目的关键属性--例如每个项目的实际社交网络(谁与谁通信)、决策路径、参与者的影响力级别。他们还将(通过Twitter界面)收集公民在社交媒体上的辩论。学生将收集项目文档，形成概念的语义网络。他们将对项目团队进行调查，以确定最热门的主题、绩效水平以及对两者的看法。*第二，学生将使用相关的社会和语义网络分析算法，为每个项目提取相同关键属性的指标。*将比较两组关键属性(由调查和算法驱动)，这有助于定义社会和语义网络分析算法对基础设施领域的适用性。*通过案例研究以及对调查和算法分析的比较分析，学生可以开发出以下模型：*小组的形成或已知的利益群体：目的是对比正式和非正式的决策路径。*意见动态：衡量利益相关者(包括当地社区)对主要项目主题的立场和情绪的变化。*信任分析：监控主要项目参与者之间的信任形成。*PN的本体论：列举适当的算法及其在基础设施系统中的潜在用途。*BIM仪表板：开发一个门户，将PN分析的结果嵌入到项目管理的实践中。*这项研究工作的贡献完全低估了PN以及如何将从分析中获得的知识根深蒂固地融入决策周期。这有助于1)提高社区参与度，2)加强决策过程，3)降低成本。所有项目参与者--特别是公职人员和项目决策者以及社区成员--都能从成果中受益。