How can road traffic induced COâ‚‚ be reduced 60% from its current level in Norwich, U.K. by 2025?
In the UK, transportation is the cause of a quarter of total Carbon dioxide (C02) emissions and
road transport contributes 85% of this. This thesis seeks to examine the ways in which the
road traffic induced CO2 can be reduced in Norwich city, UK. In order to estimate and model
the emissions a Micro Scale Approach (MiSA) is used by coupling a road traffic model
(SATURN), with a Geographical Information system (ArcGIS) and mathematical calculation
software (MATLAB). This thesis estimates CO2 emissions on a street by street resolution
using SATURN to model traffic conditions, MATLAB for emission calculations and a GIS
It was found that total CO2 emissions were 69105 tonnes in 2003 and a business as usual
scenario indicated that these are likely to rise to 79912 tonnes by 2025. The key driver of this
increase appeared to be population growth, with increases in personal mobility and
improvements in vehicle efficiency cancelling each other out. This study demonstrates how
the road traffic induced CO2 emissions can be reduced in Norwich from their current levels by
2025 using a variety of scenarios. The largest reduction (32%-33%) was where 60% of cars
were displaced by pedal cycles or buses. The second largest reduction (24%) occurred through
a technological improvement scenario assuming 50% more improvements than the expected
levels by 2025. The third largest reduction (21%) was achieved by reducing personal mobility
by 37.3%. One aim of this thesis was to see whether a 60% cut was feasible and the results
indicated that there was no single scenario able to reduce emissions by this amount.
Consequently, the scenarios were combined and a mix of reducing personal mobility by
37.3% and switching from cars to non-motorized vehicles or walking (60%) is likely to be the
best way to achieve this, leading to a 53% reduction in CO2 emissions.