Challenges Rick Lindeman Rijkseaterstaat Ecomm May 31st 2017 Timeline 2011 Optimizing use starts Largest mobility maangement programme in dutch history ID: 601035
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Slide1
Sustainability as a drive for optimizing use in the futureChallenges
Rick Lindeman – RijkseaterstaatEcomm May 31st 2017Slide2
Timeline2011 Optimizing
use starts: Largest mobility maangement programme
in (
dutch
)
history
, 10
regionans
(later 12), 600
million
2013
First
experimental
Sustainability
model Optimizing
Use
(Co2 as ‘extra’)
2015
Updated
,
validated
2016
Carbon
dionxide
as important
result
of
the
programme
2017
One
of
the
goals of
the
new programmaSlide3
Methodology Rush hour Avoidance
“rush-hour avoidances’ (Spitsmijding in dutch, RHA), so one 1 person not using a car during rush hour is 1 RHA. This is because the principal aim of the programme is to reduce traffic jams in the rush-hour.
Every
plan had to calculate it is effect in RHA, be it a plan to improve cycling, or to introduce public transport.
Slide4
But how did they behave?
Reference behaviour :
1
. Trip at different time,
2
trip using other route,
3
. Trip using other modality
(bike,train), 4 no trip at all.. Standard trips for what would be replaced (like how many km the average employee made). Standard emission data Slide5
Three CO2 effectsKnowing this, we could calculate co2 reduction based on three effects
Effects through Rush-hour avoidance rha Effects
because of better flow (standing in a traffic jam itself emits
more)
Other
effects
.
Emission
effect if all RHA let to non trips Emission effect, is EHA * ritlenghth * average emission carpopulationSlide6
Results until now1,5 %
cabon dioxide emission reduction on traffic in participating urban regions
2%
NoX
reduction
But
also
: Company networks like Maastricht can do moreSlide7
Air Quality / SoundSlide8
ChallengesHow can
we increase the effect on CO2 reduction of the optimizing
use
programme
?
How
can
we combine all these goals (air quality, Saound, health, accessibility, climate)?