LCSD Flashcards
What is LCSD?
- specific application of the Dashboard of Sustainability
- developed to assess communities regarding economic, social, environmental factors
- displays results in a single graphical and numerical evaluation form
What are the four dimensions of LCSD?
economic, social, environmental and institutional
How is LCSD built up?
Outer ring: individual indicators (CO2, water use,…)
Inner ring: index for 1 dimension by aggregating the individual indicators
The indicators used for LCA, LCC & SLCA can be used and implemented
–> software ranks all values for each indicator
The better the performance of the product, the more points it gets
Overall evaluation: arithmetical average of the topic evaluations
What are the benefits of LCSD?
–User-friendly tool & make communication of complex topics easier
–Analysis of numerous sustainability data is possible
–Support community to share sustainable development goals by performance charts
What are the challenges of LCSD?
- limited number of (quantitative) indicators is currently considered
- Indicator ranking does not provide information about the absolute performance, e.g. a “green-coloured” option appears to be significantly better than a “red-coloured” option, even though the actual difference may be very small
- -> best result gets 1000 points (green), worst 0 points (red)
- Different numbers of indicators for the different dimensions can be considered an indirect weighting (when many indicators need to be considered, they weigh not as much)
–Needs careful interpretation –> we apply a weighting factor of 1 and people are often not aware of it
What weighting tool do you like better? the triangle or the dashboard?
Both have their advantages and disadvantages:
In my opinion, it depends a lot on who you want to communicate the results with.
dashoboard is easy to understand –> better for a broad target groups with all sorts of educational background
triangle is more specific, you can see the different weighting factors and how the result changes when changing the weighting
–> better for company decisions