The Cornell Hotel Sustainability Benchmarking Index (CHSB) is an industry-led global data collection and benchmarking initiative, with data on energy, water and carbon emissions from over 20,000 hotels around the world. Participants in the CHSB index include major hotel brands, operators and owners; representing all regions of the world.  More information on this can be found here – click here.  We use this data which can be accessed via the UK Government Greenhouse Gas Guidance – Department for Business, Energy & Industrial Strategy, Greenhouse gas reporting: Conversion factors 2020 – click here.  This data forms the basis of our calculator but we recognise certain factors that limit the data, for example – the companies that have participated are the larger global brands – and there are assumptions, such as it’s based on business travel which makes the assumption that it’s a one night stay with a single occupant.  It also takes a total view and apportions it equally over the year.

This is all great information which we have evolved for our calculator to take into account factors such as:

–       Self-Catering Properties (Size and Cooking)

–       Multiple Night Stays

–       Number of Occupants

–       Time of Year

Using our extensive experience of the tourist accommodation sector and understanding of these emission figures, we have created our calculator, which based on a set of rules (an algorithm) will give the best estimate of the carbon footprint of a traveller’s trip.  

Breaking it down by each factor:

Because we are using our calculator for self-catering accommodation as well as traditional hotel accommodation, we have allowed for the extra space/rooms that self-catering properties have, and as such the extra cleaning and heating/cooling demands.  The kitchen and cooking factor that self-catering accommodation provides creates a whole demand on energy, water, cleaning products and of course waste; this has been applied to the calculator when self-catering is selected.

Multiple night stays can actually reduce the carbon production because the CHSB data assumes a one night stay with a full clean daily; having longer stays reduces the need for a cleaner to travel to the accommodation and clean (using cleaning equipment such as vacuum and cleaning products).

The number of occupants has a direct impact on the carbon production.  Again, the figures we are using are based on single occupancy, therefore factoring up a certain percentage of the figure to account for extra use of water and waste created; allowing the calculator to give a fairer presentation of carbon footprint based on number of travellers.

We have created Climate Factoring, by mapping the average temperatures regionally across the world we have been able to factor the likely use of energy for warming or cooling accommodation based on the time of year the stay is taking place.  As an example if a traveller is staying in the UK in January when the average temperature is 3.9 degrees Celsius, the energy usage is going to be greater to heat the accommodation than it is during July when the average temperature is 15.2 degrees Celsius.

We want to evolve the calculations based on data about properties using Stay Green, so have developed the system with an ability to learn and grow as more people use it.  We aim to become the largest accommodation database of carbon footprint information globally.  

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