Tools

To support local authorities in choosing the optimal public lighting, taking into account technology, finances, stakeholders, safety and sometimes biodiversity, the University of Portsmouth has developed a decision support tool. Municipalities and provinces can test their different preferences in scenarios. For example, they can assess whether their choice provides the best technical public lighting at a certain price and whether it complies with local and European regulations.

Decision Support Tool

The SLIC research team at the University of Portsmouth developed a Decision Support Tool (DST) with the important goal to increase the uptake of sustainable public lighting concepts and carbon reduction by managing authorities. The DST is a web-based tool designed to support users - technology experts or policy makers - in making decisions on innovative technologies, techniques and renewable energy sources for energy savings, energy efficiency and sustainable energy use in public lighting.

Smart cities
The aim of the DST is to provide the user with a tool to aid in the adoption of innovative technologies and techniques for energy savings, low-carbon technologies and renewable energy use in smart cities. The tool integrates the economic, environmental, social and technical sustainability dimensions of public lighting in different surroundings such as urban, rural, industrial, nature, historical site and business.

Demo Decision Support Tool

 

DST

Latest version

The latest version 1.2 of the DST has been developed after several testing and validation stages of the version 1.1 by the SLIC pilot partners. The validation tests were done online and results from the tests were implemented to update the tool to this new version. DST 1.2 is now accessible online to the project partners for the next stage of testing and validation. A feedback questionnaire is embedded within the decision-support tool to collect feedback on the usefulness of the SLIC DST.

Friendly user interface
The developed tool embeds a friendly user interface to input data that allows for computational impact analysis of the sustainability dimensions considering the importance level of each dimension. The analysis proposes the best lighting technologies and the economic, environmental, and social impacts of the selected technologies.

We would like to invite public lighting professionals and other professionals involved in the decision making around public lighting to test our DST. Click on the button below and you will be redirected to the tool.

Decision Support Tool

 

 

DST (1)

Team DST

The SLIC Decision Support Tool is developed by experts from the Centre for Operational Research and Logistics (CORL) and the School of  Mathematics and Physics at the University of Portsmouth in collaboration with researchers from the AVANS University of Applied Sciences and the pilot  partners. In CORL, we use our expertise in analytics, data, computational algorithms, system design, simulation, and optimisation modelling, programming, and forecasting to help organisations around the world make better decisions.

Team DST