Developing state-of-the-art software to reduce carbon dioxide emissions in the aviation sector

开发最先进的软件以减少航空业的二氧化碳排放

• 批准号: 104705
• 金额: $ 10.92万
• 依托单位: SIGNOL LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=104705
• 关键词: Developing; state; art; software; reduce

"Airlines are responsible for a significant amount of carbon emissions globally. Airlines also spend vast amounts of money on fuel -- it is one of their largest operating expenses.Signol, our software as a service, harnesses cutting-edge behavioural science to tackle both these challenges. Building upon our team's unique behavioural research in aviation (Gosnell et al., 2018), we combine big data analytics and behavioural science to provide airline captains with refined performance feedback that motivates them to make fuel-efficient decisions when possible. What's more, Signol's cutting-edge behavioural science approach can make captains happier. Signol has the potential to improve firm profits, reduce pollution, and increase job satisfaction. In this project, we will test and refine the Signol platform with a major UK airline to begin scaling the project. We aim to position the UK as a leader in cloud-based analytics for professional staff and put it at the forefront of reducing carbon emissions in the aviation sector."

“航空公司对全球碳排放负有相当大的责任。航空公司还在燃油上花费了大量资金--这是他们最大的运营支出之一。我们的软件即服务SIGNOL利用尖端行为科学来应对这两个挑战。在我们团队独特的航空行为研究(Gosnell等人，2018年)的基础上，我们将大数据分析和行为科学结合起来，为航空公司机长提供精细化的绩效反馈，激励他们在可能的情况下做出节油决策。更重要的是，西格诺的尖端行为科学方法可以让船长们更快乐。西诺尔具有提高公司利润、减少污染和提高工作满意度的潜力。在这个项目中，我们将与一家主要的英国航空公司一起测试和优化SIGNOL平台，以开始扩展该项目。我们的目标是将英国定位为面向专业人员的基于云的分析领域的领先者，并将其置于减少航空业碳排放的前沿。