3.1 Standard Analysis Output - Excel Spreadsheets
The comprehensive range of spreadsheets supplied back to officers in client authorities include charts and graphs wherever possible and fall into the
following general categories...
Mode Of Travel Stats - show the census data as it is
usually presented - summarised as a "number and percentage by mode" - along with key indicator fields calculated
by our analysis process. The key fields are the number and percentage of Pupils living within the Walk Threshold
Travelling by Car as well as the overall travel carbon footprint per pupil. We use a simple traffic light system with respect
to the authority school average to rate the school - Green is >10% below authority average;
Amber is within 10% of authority average;
Red is >10% above authority average.
This RAG (Red, Amber, Green) rating is also included in the STHC report.
The output also contains an additional version of this spreadsheet, which is specifically formatted to be printed out at A1 size for sending to schools.
Actual (& Nearest) Distance Stats - translate the "numbers & percentages by mode" of
the Mode of Travel stats into distances the ground - both the distance to the school the pupil actually attends ("Actual Distance") and
that of the nearest eligible school defined by national curriculum year ("Nearest Distance").
Carbon & Calorie Stats - translate the distances of the Actual & Nearest Distance stats, which are only for a single
journey between home and school, into total jpourney distances (home - school - home), and thence into either the calories burned by pupils during the
walk or cycle or the CO2 emitted if travelling by vehicle. From these it is then possible to calculate the total school travel carbon
footprint down to individual school level on a per pupil basis, which can then be turned into an overall sustainable travel rating for the school.
It is these "carbon and calorie" figures that link the data to the "Sustainable Schools" and "Healthy Schools" agendas.
Cross Border Stats - As it sounds, this spreadsheet quantifies the movement of pupils across the borders of the consortium
authorities. All the LEAs in which the pupils home postcodes are situated are identified along with the actual numbers of pupils coming from each, for all the
authorities that are part of the analysis dataset. The ability to calculate the pupil flows between LEAs will inform the
creation of Travel to Learn Areas, an important feature of the emerging 14-19 agenda.
Distance Profile Stats - Provide an immediate feel for how the different travel modes are distributed according to distance
from the school. In particular they show the 85th & 95th percentile
distance values for each subset of the data (the former is a standard indicator used by traffic engineers).