As part of our sustainability agenda, we are investigating how to deliver a more sustainable REVIS offer for maximising the benefits for environment and society. As part of this ambition, we worked in collaboration with Surrey University and Raimondo Mancinelli with a research project looking at the use of data-driven decisions to drive more sustainable business outcomes.
We developed a survey as part of this collaboration to gather data from stakeholders to inform the business case for the air pollution monitoring system. We are hoping to gather information from a broad range of stakeholders to encourage the adoption of the REVIS solution and therefore improve air quality and people's health and wellbeing in local areas.
Different stakeholders and organisations play different roles in tackling the air pollution challenge and with this survey we are hoping to understand the perspective of all of them. If you are keen to help us to tackle together the air pollution issue, you can participate in the study answering the survey. Your feedback would be extremely useful for understanding your and your organisation interests and how we can work together to address this issue.
If you are happy to support this survey and help me with my research, please use the following link. The online survey should take between 10 and 15 minutes. The report, with the results, will be shared on the REVIS website. Air pollution monitoring system survey.
The REVIS project is committed to creating a strong, resilient, and more sustainable business model for the REVIS unit. During the last quarter, the REVIS team worked in collaboration with Raimondo Mancinelli, PhD student from the Centre for Environment and Sustainability at the University of Surrey. Raimondo's research focuses on the use of data analytics in Sustainable Product Development (SPD). This study aims to understand how to use data to make strategic decisions to increase sustainable outcomes from businesses. Learn more: the use of Data Analytics for Sustainable Product Development.