Informed Decision Making Visualisation Methodology Cases Research Data

1_Visualisa ionCases_AnalysisDa a In oduc ion
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Visualisa ion Me hodology o In o med Decision-making
Applied o Sma Ci y and Digi al Twin con ex s
Resul s o he PoliVisu, DUET and COMPAIR H2020 EU P ojec s *1
O e iew o he esea ch da a
TITLE
Visualisa ion Me hodology o In o med Decision-making Applied o Sma Ci y and Digi al Twin con ex s
VERSION
1.0
RESEARCH MATERIAL IDENTIFIER
Resea ch ma e ial: 10.5281/zenodo.17379999
N . Tab name Ti le Cap ion
1 Table 1 Cases TABLE 1: O e iew o he sma ci y- ela ed
isualisa ion cases using he isualisa ion
me hodology
-
2 Table 2 Visualisa ionTechniques TABLE 2: O e iew o isualisa ion cases and
hei po en ial use in he policy cycle
Cap ion: Sma Ci y Visualisa ion Cases e sus Policy-making Cycle
Phases
3 Table 3 Visualisa ionCases TABLE 3: Quan i a i e o e iew o isualisa ion
echniques and hei po en ial use in he policy
cycle
Cap ion: Sma Ci y Visualisa ion Ins umen e sus Policy-making Cycle
Phases
4 Table A1 TABLE RESEARCH DATA 1: Visualisa ion
Me hodology - Analysis da a
Cap ion: O e iew o he ini ial eques , policy elemen s, isualisa ion
goals, da a ields and chosen isualisa ion echniques and ools (g ouped
by ini ial eques s)
5 Table A2 TABLE RESEARCH DATA 2: Visualisa ion
Me hodology - S eps
Cap ion: Visualisa ion me hodology s ep-by-s ep app oach (case le el)
1_Visualisa ionCases_AnalysisDa a In oduc ion
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6 Table A3 TABLE RESEARCH DATA 3: Visualisa ion
echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics
and use
7 Table 2 & 3 P epa a ion - Sco ing TABLE RESEARCH DATA 4: Policy cycle case
mapping
Cap ion: Resul s o he indi idual sco ing o each case o he policy cycle
(sub)phases
N . File name + documen ype Ti le Cap ion
1 Cases - Visuals (P esen a ion) Case Visualisa ions -
*1 Policy De elopmen based on Ad anced Geospa ial Da a Analy ics and Visualisa ion (PoliVisu), EU H2020 p ojec , h ps://co dis.eu opa.eu/p ojec /id/769608
Digi al U ban Eu opean Twins o sma e decision making (DUET), EU H2020 p ojec , h ps://co dis.eu opa.eu/p ojec /id/870697
Communi y Obse a ion Measu emen & Pa icipa ion in AIR Science (COMPAIR), EU H2020 p ojec , h ps://co dis.eu opa.eu/p ojec /id/101036563
1_Visualisa ionCases_AnalysisDa a Table_1_Cases
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TABLE 1: O e iew o he sma ci y- ela ed isualisa ion cases using he isualisa ion me hodology
N .
Sma ci y- ela ed Visualisa ion Cases
(Loca ion & Ti le) Visualisa ion Con en
1 Be lin (DE), Flande s (BE) - Dynamic exposu e isualisa ion dashboa d Dashboa d isualising he exposu e o ine dus le els (PM2.5) du ing a el ou es on
a geospa ial map and on g aphs isualising le els ela ed o a el dis ance and
exposu e ime
2 Issy-les-Moulineaux (FR) - T a ic dashboa d T a ic dashboa d isualising a ic delay, a ic blackspo s and ee low speed o
Issy-Les-Moulineaux and i s su oundings
3 Police zone Voo kempen (BE) - T ajec o y speed limi en o cemen
dashboa d
Dashboa d isualising agg ega ed a e age speed con ol came a da a, en isioning li e
and his o ical a ic olumes and a e age speeds
4 Sol a egion (BE) - Regional a ic beha iou Dashboa d isualisa ion o o igin-des ina ion pa e ns o loa ing ca da a on a egional
scale in Sou h-Eas e n Flande s and i s su oundings
5 He zele (BE) - In e ac i e school s ee dashboa d Dashboa d isualising esul s om mul iple senso ypes ( a ic, ai quali y PM, NO2,
BC) allowing he compa ison o wo g oups o senso s be o e and a e a momen in
ime (when he measu e has been implemen ed) - Applied on a school s ee
implemen a ion case
6 Mechelen/Flande s (BE) - In e ac i e school s ee dashboa d Dashboa d isualising a ic coun da a (ca s, big ehicles, cyclis s and pedes ians) in
and a ound school s ee s be o e and a e he implemen a ion o a school s ee
7 Sin -Niklaas (BE) - Local mobili y scheme/plan dashboa d Dashboa d isualising esul s om mul iple senso ypes ( a ic, ai quali y PM, NO2,
BC) allowing he compa ison o wo g oups o senso s be o e and a e a momen in
ime (when he measu e has been implemen ed) - Applied on a local mobili y
scheme/plan implemen a ion case
8 Flande s (BE) - In e ac i e oad sa e y map In e ac i e oad sa e y hea map o Flande s isualising hea maps, line and poin maps
included ad anced geo- ime and con en selec ion possibili ies
9 Ghen (BE) - S uden displacemen s Cho ople h map isualising do m highe educa ion s uden displacemen s du ing a
e e ence pe iod in Ghen by using mobile elecommunica ion da a
10 Pilsen (CZ) - In e ac i e oad acciden map In e ac i e oad acciden hea map o Pilsen isualising hea maps and poin maps
included ad anced geo- ime and con en selec ion possibili ies
11 Pilsen (CZ) - In e ac i e senso based li e and his o ic a ic map In e ac i e map isualising li e and his o ic a ic olumes in Pilsen, including
ad anced da a geo- ime and con en selec ion possibili ies
12 Pilsen (CZ) - T a ic measu e impac modelling compa ison T a ic olume and in ensi y line del a map o he esul s o a a ic calcula ion using
he Pilsen a ic model
13 Pilsen (CZ) - T a ic olume impac simula ion modelling T a ic olume and in ensi y line map isualisa ion o a a ic calcula ion using he
Pilsen a ic model
14 Issy-les-Moulineaux (FR) - T a el planning app Op imal mul imodal ou e calcula ion mobile isualisa ion app (My Ana ol app) o e ing
sus ainable ou e sugges ions
15 Pilsen (CZ) - Impac o oadwo ks simula ion T a ic olume and in ensi y line map isualisa ion o he impac o planned oadwo ks
using he Pilsen a ic model
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16 A hens (GR) Digi al Twin - G een squa es planning Visualising he impac o 3D e ain asse s (e.g. buildings, cons uc ions, ees, wa e ,
s ee u ni u e) on he com o o u ban spaces ela ed o li eabili y, e.g. by a oiding
hea s ess, using a Digi al Twin
17 A hens (GR) Digi al Twin - T a ic load & c ea ion o a pedes ian and
cycling ou e
Visualising a ic olumes, ai quali y impac , noise pollu ion impac (absolu e olumes
and del as) in a 3D Digi al Twin en i onmen - case ans o ming oads owa ds low
a ic zones o p omo e walking and cycling
18 Pilsen (CZ), Ghen (BE) Digi al Twin - Impac o oad closu es Visualising a ic olumes, ai quali y impac , and noise pollu ion impac (absolu e
olumes and del as) in a 3D Digi al Twin en i onmen - case oad closu es on an
exis ing ne wo k
19 Pilsen (CZ) Digi al Twin - Ring oad cons uc ion impac Visualising a ic olumes, ai quali y impac , noise pollu ion impac (absolu e olumes
and del as) in a 3D Digi al Twin en i onmen - case new oad in as uc u e
20 Pilsen (CZ) Digi al Twin - Sola equipmen loca ions in he ci y pa k Visualising he impac o 3D e ain asse s (e.g. buildings, o he cons uc ions, e.g.
b idges, ees) on he po en ial shadow impac on sola panels in a Digi al Twin
1_Visualisa ionCases_AnalysisDa a Table_2_Visualisa ionTechniques_PC
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TABLE 2: O e iew o isualisa ion cases and hei po en ial use in he policy cycle
Cap ion: Sma Ci y Visualisa ion Cases e sus Policy-making Cycle Phases
Policy Design Policy Implemen a ion Policy E alua ion
P oblem-
se ing
Policy
o mula ion
Scena io
analysis Decision
Implemen-
a ion plan
Implemen-
a ion
Ongoing
moni o ing Communica ion
Impac
assessmen
P oblem ( e)
s uc u
-ing
Case Dashboa d isualisa ion
Visualisa ion DB
1
Be lin (DE), Flande s (BE) -
Dynamic exposu e
isualisa ion dashboa d
YES - - - - - YES YES - -
2Issy-les-Moulineaux (FR) -
T a ic dashboa d YES - - - - - - YES YES -
3
Police zone Voo kempen (BE)
- T ajec o y speed limi
en o cemen dashboa d
- YES - - - - YES - YES YES
4Sol a egion (BE) - Regional
a ic beha iou YES YES - - - - - - - -
PolicyDB
5He zele (BE) - In e ac i e
school s ee dashboa d YES - - YES - - YES YES YES -
6Mechelen/Flande s (BE) -
School s ee dashboa d YES YES - - YES YES YES YES YES YES
7
Sin -Niklaas (BE) - Local
mobili y scheme/plan
dashboa d
YES - YES YES YES - YES YES YES YES
In ensi y map isualisa ion
8Flande s (BE) - In e ac i e
oad sa e y map YES YES - - YES - - YES YES -
9Ghen (BE) - S uden
displacemen s YES YES - - - - - - - -
10 Pilsen (CZ) - In e ac i e oad
acciden map YES YES - - - - - YES YES -
11
Pilsen (CZ) - In e ac i e senso
based li e and his o ic a ic
map
YES - - - - - - YES YES -
12 Pilsen (CZ) - T a ic measu e
impac modelling compa ison YES YES YES YES YES YES YES - YES YES
13 Pilsen (CZ) - T a ic olume
impac simula ion modelling YES - - - - - - YES - -
Algo i hm isualisa ion
14 Issy-les-Moulineaux (FR) -
T a el planning app - - - - - - - YES - -

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15 Pilsen (CZ) - Impac o
oadwo ks simula ion YES YES YES YES YES YES YES YES YES YES
Digi al Twin isualisa ion
16 A hens (GR) - Digi al Twin,
G een squa es planning YES - YES YES YES - - YES - -
17
A hens (GR) - Digi al Twin,
T a ic load & c ea ion o a
pedes ian and cycling ou e
YES - - YES YES - - YES YES -
18
Pilsen (CZ), Ghen (BE) -
Digi al Twin, Impac o oad
closu es
YES YES YES YES YES - - YES YES YES
19 Pilsen (CZ) - Digi al Twin, Ring
oad cons uc ion impac YES YES YES YES YES - - YES YES YES
20
Pilsen (CZ) - Digi al Twin,
Sola equipmen loca ions in
he ci y pa k
YES - YES YES YES YES - - YES -
²
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TABLE 3: Quan i a i e o e iew o isualisa ion echniques and hei po en ial use in he policy cycle
Cap ion: Sma Ci y Visualisa ion Ins umen e sus Policy-making Cycle Phases
Phase Policy Design Policy Implemen a ion Policy E alua ion
Subphase P oblem-
se ing
Policy
o mula ion
Scena io
analysis Decision
Implemen-
a ion plan
Implemen-
a ion
Ongoing
moni o ing
Communi-
ca ion
Impac
assessmen
P oblem ( e)
s uc u
-ing
Dashboa d isualisa ion 6/7 3/7 1/7 2/7 2/7 1/7 5/7 5/7 5/7 3/7
-Visualisa ion DB 3/4 2/4 0/4 0/4 0/4 0/4 2/4 2/4 2/4 1/4
-PolicyDB 3/3 1/3 1/3 2/3 2/3 1/3 3/3 3/3 3/3 2/3
In ensi y map isualisa ion 6/6 4/6 1/6 1/6 2/6 1/6 1/6 4/6 4/6 1/6
Algo i hm isualisa ion 1/2 1/2 1/2 1/2 1/2 1/2 1/2 2/2 1/2 1/2
Digi al Twin isualisa ion 5/5 2/5 4/5 5/5 5/5 1/5 0/5 4/5 4/5 2/5
Pe cen age / subphase 90% 50% 35% 45% 50% 20% 35% 75% 70% 35%
Pe cen age / phase 55% 45% 53%
²
1_Visualisa ionCases_AnalysisDa a Table_A1 Visualisa ionMe hodology_Ini ialAnalysis
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TABLE RESEARCH DATA 1: Visualisa ion Me hodology - Analysis da a
Cap ion: O e iew o he ini ial eques , policy elemen s, isualisa ion goals, da a ields and chosen isualisa ion echniques and ools (g ouped by ini ial eques s)
Case Visualisa ion
link n . Pilo Ini ial eques Policy Elemen s Visualisa ion Goal
( ela ed o he eques & policy
elemen s)
Desc ip ion o main da a ields Main Visualisa ion
Techniques
Visualisa ion Tool Visualisa ion summa y Policy-making cycle
(excep he communica ion
elemen )
P ojec
1 - Flande s/Be lin As a ci izen, I wan
o know my
exposu e o ai
pollu ion du ing a
displacemen .
Policy goal: Suppo ing
en i onmen al awa eness
E alua ing he impac o ai quali y,
including ine dus (PM) and black
ca bon (BC), du ing ou es by bike
and oo .
Ou pu o Ai quali y senso , buil -in
GPS (e.g. Sodaq PM) o Ai quali y
senso wi h no GPS, Mobile phone
GPS link (e.g. BC me e ):
- Loca ion X, Y
- Time
- Exposu e PM2.5, PM10 in
mic og am/m²
- Dynamic exposu e
dashboa d in e ace
- 2D T ip isualisa ion map
- Ai Quali y exposu e line
cha
- Ai Quali y exposu e
cumula i e line cha
- Selec ion able ( ip
selec ion in e ace)
- Selec ion and il e
op ions
Reusable Compai
Dynamic Exposu e
Visualisa ion dashboa d
Dashboa d including a map isualisa ion o ou es.
Rou e segmen s ha e he colou o he ai quali y
measu ed a he segmen . Excposu e line cha showing
ai quali y ( ine dus pa icles, black ca bon) by ip
du a ion and dis ance, combined wi h a cumula i e
exposu e line cha showing he same in o ma ion.
Model simula ion o he inhaled dose based on sex, age
and ac i i y le el.
P oblem s e ing: Dynamic
exposu e isualisa ion
Compai
1 1.1 Flande s/Be lin Idem Idem Visualise he le el o exposu e o he
ou e on a ci y map.
Idem - 2D T ip isualisa ion map Idem 2D Map, segmen s (measu emen s in e als + loca ion). Idem Compai
1 1.2 Flande s/Be lin Idem Idem Visualise he le el o exposu e du ing
he ou e compa ed o he WHO
heal h guideline.
Idem - Ai Quali y exposu e line
cha
- Ai Quali y exposu e
cumula i e line cha
Idem Line cha isualising he PM ( ine dus in ug/m2), black
ca bon exposu e compa ed o he WHO guidelines.
Idem Compai
1 1.3 Flande s/Be lin Idem Idem Visualise he model ou pu o he
inhaled doses du ing he ou e.
Idem - Ai Quali y exposu e
cumula i e line cha
Idem Cumula i e line cha isualising inhaled doses model
simula ion esul s in ng/m3.
Idem Compai
2 2.1 Issy-les-Moulineaux As a policymake , I
wan o know he
loca ion and olume
o pas a ic in he
Sou h Pa is egion.
Policy goal: Ge ing be e
insigh s
O e iewing a elle ime impac by
combining oad segmen -based map
iews and ables, allowing o
compa ing and o de ing los ime in
a ic.
Floa ing ca da a o was ed ime o
oad segmen s:
- Loca ion ( oad segmen geome y)
- A e age speed pe segmen
- Los ime "a e age o ex a ime
spen s. ime wi hou a ic"
(quan i a i e)
- Time
- Floa ing ca da a mobili y
dashboa d
- T a ic speed and delay
ime dis ibu ion his og am
- Line-based ee low map
- Table (los ime)
- F ee- low dis ibu ion
hea map ma ix
- Time pe iod selec o
Cus om-buil loa ing ca
da a mobili y dashboa d o
Issy-Les-Moulineaux
Dashboa d con aining mul iple isualisa ions o e alua e
a ic- ela ed delays in he Sou he n Pa is egion. The
dashboa d o e s a 2D Ci y map iew by oad segmen s,
low-line maps o disco e (weekly) e u ning pa e ns,
and ables and hea maps o compa ing wo pe iods in
ime.
P oblem-se ing, impac
assessmen : Reduce
Conges ion
PoliVisu
2 2.2 Issy-les-Moulineaux Idem Idem Visualisa ion o he d i ing speed and
delay ime (pe hou du ing he day).
Idem -T a ic speed and delay
ime dis ibu ion his og am
Idem Visualisa ion o he d i ing speed and delay ime pe
hou du ing he day as a his og am.
Idem PoliVisu
2 2.3 Issy-les-Moulineaux Idem Idem Visualise how much he speed
dec eases on oad segmen s in Issy
compa ed o he no mal si ua ion o
speci ic pe iods and imings.
Show cu en /ac ual “Time los ” pe
oad segmen .
Idem - Line-based ee low map Idem Visualisa ion-based line-based ee low map whe e he
hea o he oad segmen is de ined by he ex a ime
spen due o a ic, e sus he heo e ical ee- low
speed, by showing he speed pe cen age o ee- low
speed ( ed = slowe , g een = legal speed, blue = as e )
Idem PoliVisu
2 2.4 Issy-les-Moulineaux Idem Idem Visualise a lis o momen s wi h he
highes "los imes" and a lis o oad
segmen s o de ed by "To al ime
los ".
Idem - Table (los ime) Idem Table summa ising he momen s wi h he highes delay
imes and blackspo s.
Idem PoliVisu
2 2.5 Issy-les-Moulineaux Idem Idem Visualise he a e age pe cen age
om ee low du ing a speci ic ime
pe iod o he Issy-Les-Moulineaux
a ea.
Idem - F ee- low dis ibu ion
hea map ma ix
Idem F ee- low dis ibu ion hea map ma ix depic ing he
speed pe cen age om ee low du ing he day o an
en i e week, using pe cen age isualisa ion combined
wi h colou g adien s.
Idem PoliVisu
3 - Vlaande en
(Voo kempen)
As a police o local
communi y
employee
esponsible o oad
sa e y, I wan o ge
be e insigh s in o
he d i e 's
beha iou (o e
ime) in ajec o y
con ol zones.
Policy goal: Ge ing be e
insigh s
Policy objec i e: E alua ing
i speed con ol measu es
a e leading o beha iou al
changes
Visualising he momen , quan i y and
speed o ehicles in he ins alled
ajec o y con ol zones ha allow
compa ison be ween con ol zones,
iming o policy e alua ion and u u e
policy de elopmen .
- Loca ion speed con ol zones
- ANPR da a (pseudonimized),
including hashed numbe pla e da a,
a e age speed, ime, ehicle ype
(Raw ANPR da a was ansla ed o
s a is ics pe ajec o y pe hou in
bucke s pe speed ca ego y)
- A e age speed con ol
dashboa d
- Hea map
- Flow a e diag am
- A e age speed con ol
in ac ion his og am
Reusable ANPR a e age
speed con ol dashboa d
Dashboa d con aining mul iple isualisa ions, including
2D isualisa ions o ajec o y con ol zones using line
segmen s; a hea map depic ing ela i e in ac ions, low
a e diag ams depic ing he a e age speed, numbe o
ehicles and ime pe iod; his og ams depic ing he
pe cen age o in ac ions, nea in ac ions o e ime.
Policy o mula ion,
moni o ing, impac
assessmen : Iden i ying
ajec o y con ol zones
wi h a high le el o
speeding in ac ions.
PoliVisu
3 3.1 Vlaande en
(Voo kempen)
Idem Idem Visualising he ela i e pe cen age o
in ac ions a a ypical momen du ing
he week.
Idem - Hea map ( ime, in ac ion
pe cen age)
Idem Hea map depic ing ela i e in ac ions sp ead o e
weekdays on an hou ly basis.
Idem PoliVisu
3 3.2 Vlaande en
(Voo kempen)
Idem Idem Visualising he a e age speed
ela i e o he numbe o ehicles
and ime pe iod (du ing he day).
Idem - Flow a e diag am
(a e age speed, numbe o
ehicles)
Idem Visualising he a e age speed ela i e o he numbe o
ehicles and he ime pe iod (mo ning, day, e ening,
nigh ).
Idem PoliVisu
3 3.3 Vlaande en
(Voo kempen)
Idem Idem Visualising he numbe o in ac ions
and nea in ac ions o e ime o
moni o he long- e m e olu ion o
speed beha iou .
Idem - A e age speed con ol
in ac ion his og am
(in ac ion pe cen age,
ime)
Idem Visualising, on a e age, he speed con ol zone, he
numbe o in ac ions and nea in ac ions o e ime
(long- e m e olu ion o speed beha iou ).
Idem PoliVisu
4 4.1 Vlaande en (Sol a) As a mobili y expe ,
I wan an o e iew
o a ic lows wi hin
he Sou h-Eas
Flande s egion,
including bo h
incoming and
ou going a ic.
Policy goal: Ge ing be e
insigh s
Geospa ial isualisa ion o
displacemen s om one place o
ano he inside he Sol a egion and
om ou side o he Sol a egion.
- Loca ions (local communi y)
- Displacemen s be ween and inside
a local communi y (agg ega ed)
- T ip ime (agg ega ed)
- Sankey ou e dis ibu ion
diag am
TomTom Dashboa d Sankey ou e dis ibu ion diag am depic ing he a ic
olumes o e a pe iod o ime be ween o igin and
des ina ion loca ions (local communi ies).
P oblem-se ing, policy
o mula ion: Mo o ised oad
anspo ip dis ibu ion.
PoliVisu
1_Visualisa ionCases_AnalysisDa a Table_A1 Visualisa ionMe hodology_Ini ialAnalysis
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TABLE RESEARCH DATA 1: Visualisa ion Me hodology - Analysis da a
Cap ion: O e iew o he ini ial eques , policy elemen s, isualisa ion goals, da a ields and chosen isualisa ion echniques and ools (g ouped by ini ial eques s)
Case Visualisa ion
link n . Pilo Ini ial eques Policy Elemen s Visualisa ion Goal
( ela ed o he eques & policy
elemen s)
Desc ip ion o main da a ields Main Visualisa ion
Techniques
Visualisa ion Tool Visualisa ion summa y Policy-making cycle
(excep he communica ion
elemen )
P ojec
4 4.2 Vlaande en (Sol a) Idem Idem P o ide a schema ic o e iew o he
mos popula o igin-des ina ion
pa e ns om he Sol a egion.
Idem - O igin-des ina ion ma ix
diag am and hea map
Idem Ma ix depic ing ou es (o igins) om a selec ion o
places (local communi ies) owa d a selec ion o places
(des ina ions) using colou g adien s o isualise he
ou e olumes.
Idem PoliVisu
4 4.3 Vlaande en (Sol a) Idem Idem Geospa ial isualisa ion o he mos
popula des ina ion om a single
o igin.
Idem - T a ic low line/ ip
dis ibu ion map
Idem 2D map isualising he di ec ion o ou es om he o igin
o he des ina ion local communi ies in pe cen ages
(o igin = 100% dis ibu ed o mul iple des ina ions).
Idem PoliVisu
5 - Vlaande en
(He zele)
As a ci y o icial,
eache , and ci izen,
I wan o e alua e
he impac o he
implemen a ion o a
school s ee a he
school and he
su ounding s ee s.
Policy goal: Ge ing be e
insigh s
Policy ac ion:
Implemen a ion o a school
s ee
Ge ing insigh in o he e ec s o a
school s ee ( es ) implemen a ion
on a ic olumes and ai quali y
impac .
Ou pu o :
- T a ic coun ing senso s (n o
pedes ians, cyclis s, ca s, big
ehicles)
- Ai quali y senso s (NO2, PM, BC)
- Loca ion (X, Y)
- Policy Moni o ing
Dashboa d o T a ic and
Ai Quali y
- 2D Senso loca ion map
- Ba cha ( a ic mode
changes, changes in
pollu an exhaus )
Reusable compai policy
moni o ing dashboa d
(PMD)
A dashboa d showing measu emen s om one g oup o
a ge senso s and a second g oup o su ounding
senso s be o e and a e a h eshold ( ypically he
implemen a ion o a policy measu e). The dashboa d
can p esen compa able isuals o each senso ype
( a ic senso , ai quali y senso ). The dashboa d
suppo s only ixed senso s.
P oblem-se ing, policy
decision, moni o ing,
impac assessmen : Policy
Moni o ing school s ee s.
Compai
5 5.1 Vlaande en
(He zele)
Idem Idem Geospa ial o e iew o he senso
loca ions o ge an o e iew o he
a ea.
Idem - 2D Senso loca ion map Idem Visualisa ion o he loca ion o ixed senso s pe g oup
(in his case, school s ee e sus neighbou hood) and
pe ype o senso , including a ic coun ing senso s and
ai quali y senso s.
Idem Compai
5 5.2 Vlaande en
(He zele)
Idem Idem S a is ical o e iew o he changes in
he use o a ic modes and he
di e ences in ai quali y.
Idem - Ba cha ( a ic mode
changes, changes in
pollu an exhaus )
Idem Ba cha depic ing changes in a ic mode (posi i e and
nega i e) and ai quali y pollu an s be o e and a e a
ixed momen in ime (in his case, implemen ing a
school s ee ).
Idem Compai
6 6.1 Vlaande en
(Mechelen)
As a ci y o icial,
eache and ci izen, I
wan an easy- o-
in e p e da a
o e iew o compa e
a ic olumes
be o e and a e he
implemen a ion o a
school s ee .
Policy goal: Ge ing be e
insigh s
Policy s a egy: school
s ee as pa o a b oade
mobili y policy
Policy ac ion:
Implemen a ion o a school
s ee
Display he di e ence in dis ibu ion
o e he di e en a ic modes
be o e and a e he in oduc ion o a
school s ee , in he s ee o he
school, as well as in he
neighbou ing s ee s.
T a ic coun da a, senso loca ion
da a, ime da a, and wea he da a
- school s ee
implemen a ion dashboa d
- 2D Map,
- Ba cha (ad anced)
- Compa a i e end
analysis line cha
- Pie cha (modal spli )
Cus om-buil school s ee
dashboa d
A se o g aphs connec ed o a ime window selec ed by
he end use . The g aphs show he numbe o people
a elling using a pa icula anspo mode.
When a second ime window is selec ed, he del a
be ween he pe iods is also shown.
P oblem-se ing, policy
o mula ion, policy
implemen a ion and
e alua ion: Policy impac o
ex ending he in oduc ion
o school s ee s in
Mechelen.
PoliVisu
6 6.2 Vlaande en
(Mechelen)
Idem Idem Visualising
Visualising he loca ion o he school
s ee senso and senso s in he
su ounding s ee s.
Line da a o oad segmen s whe e a
a ic senso is ins alled:
- Loca ion (X, Y)
- Ca ego isa ion (school s ee s
su ounding s ee s)
- 2D Map Idem school s ee senso loca ions using s ee segmen s ( o
anonymise he exac loca ion o he senso placed a a
ci izen's home).
Idem PoliVisu
6 6.3 Vlaande en
(Mechelen)
Idem Idem Visualising he use o anspo
modes, including he isualisa ion o
policy a ge s (e.g., he numbe o
coun ed cyclis s a he school ga e).
- Time (da e, hou ) / Begin ime, End
ime
- Coun s pe anspo mode
- Senso g oup (school s ee ,
su ounding s ee s)
- Ba cha (ad anced) Idem Combina ion o ba cha s (wi h he possibili y o swi ch
ca ego ies on and o ), allowing compa ison be ween
ime pe iods, combined wi h he isualisa ion o a policy
no m.
Idem PoliVisu
6 6.3 Vlaande en
(Mechelen)
Idem Idem Visualising a ic o e he cou se o
he day, a school s ee was
implemen ed o assess he school
s ee e ec .
- Time (da e, hou ) / Begin ime, End
ime
- Coun s pe anspo mode
- Senso g oup (school s ee ,
su ounding s ee s)
- Compa a i e end
analysis line cha
Idem T end analysis line cha isualising each anspo
mode o e alua e he e ec o a school s ee
implemen a ion compa ed o he hou s be o e and a e
he school s ee closu e.
Idem PoliVisu
6 6.4 Vlaande en
(Mechelen)
Idem Idem Visualisa ion o he modal spli
(pe cen age o measu ed anspo
modes - walking, cycling, ca , hea y
ehicles).
- G ouping (be o e/a e
implemen a ion & school
s ee /su ounding s ee s)
- Modal spli pe cen ages
- Pie cha (modal spli ) Idem Pie cha s isualising he modal spli (school s ee and
neighbou hood) and be ween wo pe iods in ime (i a
second pe iod has been selec ed).
Idem PoliVisu
7 7.1 Vlaande en (Sin -
Niklaas)
As a ci y o icial,
ci izen, I wan o
quan i y he e ec s
o a new a ic
scheme in e ms o
he amoun , kind o
a ic and speed on
he a ec ed oads.
Policy objec i e:
Implemen a ion o a a ic
scheme o dec ease
lowing a ic
Policy ac ion: Implemen ing
a local a ic scheme
Visualisa ion o he e olu ion in a ic
olumes and d i ing speed in he
a ec ed s ee s.
- Time (da e, hou )
- Coun s pe anspo mode
- D i ing speed
- Senso loca ion & oad segmen
loca ion
- T a ic coun da a mobili y
dashboa d
- 2D Senso loca ion Map
- S acked ba and line
cha s (de ailed a ic
olumes)
- His og am (d i ing speed)
- Pie cha (modal spli )
Tel aam dashboa d Dashboa d combining 2D senso loca ion map, s acked
ba & line cha s depic ing a ic olumes, his og ams
depic ing d i ing speed and a pie cha depic ing he
modal spli .
Policy design,
implemen a ion suppo
and e alua ion: Impac o
implemen ing a new a ic
scheme in a
neighbou hood in Sin -
Niklaas.
Compai
7 7.2 Vlaande en (Sin -
Niklaas)
Idem Idem Geospa ial o e iew o he senso
loca ions o ge an o e iew o he
a ea.
- Senso loca ion & oad segmen
loca ion
- T a ic olumes
- 2D Senso loca ion Map Idem 2D map wi h senso loca ions ( oad segmen s), segmen
colou depic ing ela i e a ic olume.
Idem Compai
7 7.3 Vlaande en (Sin -
Niklaas)
Idem Idem Visualisa ion o he de ailed a ic
olumes o a s ee segmen (hou o
he day spanning a mul iple-day
pe iod).
- Time (da e, hou )
- Coun s pe anspo mode
- Senso loca ion & oad segmen
loca ion
- S acked ba and line
cha s (de ailed a ic
olumes)
Idem S acked ba cha ( a ic modes), o each hou o e a
pe iod o one week;
Line cha depic ing he a ic olumes pe anspo
mode o each hou o one day.
Idem Compai
1_Visualisa ionCases_AnalysisDa a Table_A2 Cases_Visualisa ionMe hodologySTEPS
16
TABLE RESEARCH DATA 2: Visualisa ion Me hodology - S eps
Cap ion: Visualisa ion me hodology s ep-by-s ep app oach (case le el)
Case
N
Case i le Visualisa ion con en Policy Elemen
(S ep 1)
Visualisa ion Goal
(S ep 2)
Desc ip ion o main da a ields
(S ep 3)
Visualisa ion Techniques
(S ep 4)
Func ional Speci ica ions (wi h a
ocus on isualisa ion specs) (S ep 5)
Speci y isualisa ion(s) and
Tools (S ep 6)
Case isual n . Ini ial eques (s- P ocessed
pe sonal da a
in ol ed
Reasoning
18 Pilsen (CZ), Ghen (BE)
- Digi al Twin, Impac o
oad closu es
Visualising a ic olumes, ai
quali y impac , and noise
pollu ion impac (absolu e
olumes and del as) in a 3D
Digi al Twin en i onmen - case
oad closu es on an exis ing
ne wo k
P oblem-se ing: Ge ing insigh
in o he e ec o a oad closu e
measu e
Display on a 3D map he e ec
on a ic olume, ai quali y and
noise pollu ion caused by a ic
o changes in exis ing
in as uc u e
Ou pu o :
- 3D Visualisa ion
- Loca ion o he oad closu e o
ca a ic (including d i ing
di ec ions)
- T a ic model ( a ic olumes
including del as)
- Ai quali y (PM, NO2) ( olumes
including del as)
- Noise (DB) ( olumes including
del as)
Digi al Twin isualisa ion
depic ing:
- 3D map isualisa ions o
buildings and in as uc u e
- Hea map isualising di e ences
(del a) o PM and NO2 (ai
quali y), DB
- Line segmen s (colou and
hickness) o a ic olumes
- 3D Buildings o depic s ee
canyons
- Visualise he ci y in 2D and 3D
- Add a ic measu es o he
exis ing e ain (as inpu o he
simula ion)
- Visualise he implemen ed
a ic measu es (e.g. oad
closu e sign)
- Visualisa ion o he oad
ne wo k olumes (model
calcula ion esul s)
- Visualisa ion o he oad
ne wo k olume changes (model
calcula ion esul s)
- Visualisa ion o he impac o
changes in ai quali y
- Visualisa ion o he impac o
changes in ai noise dis ibu ion
(by a ic)
DUET Cesium-based Local
Digi al Twin p o o ype
- 2D/3D T a ic model olume
del a map - T a ic Modelle (LDT
in eg a ion)
- 3D Ai quali y del a map - TNO,
VITO
- 3D Noise Dis ibu ion poin map
- TNO
18.1 - 18.3 Impac o oad closu es No The a ic da a used is collec ed
ia a ic loops, which doesn'
con ain pe sonal in o ma ion
19 Pilsen (CZ) - Digi al
Twin, Ring oad
cons uc ion impac
Visualising a ic olumes, ai
quali y impac , noise pollu ion
impac (absolu e olumes and
del as) in a 3D Digi al Twin
en i onmen - case new oad
in as uc u e
P oblem-se ing: Ge ing insigh
in o he e ec o a new ing oad
Display on a 3D map he e ec
on a ic olume, ai quali y and
noise pollu ion caused by a ic
o new oad in as uc u e
impac ing he ci y
Ou pu o :
- 3D Visualisa ion
- Loca ion o he oad closu e o
ca a ic (including d i ing
di ec ions)
- T a ic model ( a ic olumes
including del as)
- Ai quali y (PM, NO2) ( olumes
including del as)
- Noise (DB) ( olumes including
del as)
Digi al Twin isualisa ion
depic ing:
- 3D map isualisa ions o
buildings and in as uc u e
- Hea map isualising di e ences
(del a) o PM and NO2 (ai
quali y), DB
- Line segmen s (colou and
hickness) o a ic olumes
- 3D Buildings o depic s ee
canyons
- Visualisa ion o he oad
ne wo k olumes (model
calcula ion esul s)
- Visualisa ion o he oad
ne wo k olume changes (model
calcula ion esul s)
- Visualisa ion o he impac o
changes in ai quali y
- Visualisa ion o he impac o
changes in ai noise dis ibu ion
(by a ic)
- Visualisa ion o he new ing
oad ajec o y
DUET Cesium-based Local
Digi al Twin p o o ype
- Reusable 2D T a ic model
olume map - T a ic Modelle
(LDT in eg a ion)
19.1 Ring oad cons uc ion impac No The a ic da a used is collec ed
ia a ic loops, which doesn'
con ain pe sonal in o ma ion
20 Pilsen (CZ) - Digi al
Twin, Sola equipmen
loca ions in he ci y pa k
Visualising he impac o 3D
e ain asse s (e.g. buildings,
o he cons uc ions, e.g. b idges,
ees) on he po en ial shadow
impac on sola panels in a
Digi al Twin
Policy ac ion: Simula ing he
shadow impac on sola
equipmen e iciency
Display in 3D he sunshine's
impac on loca ions o e e y
da e and ime
Ou pu o :
- 3D Visualisa ion o buildings,
ees (and o he meaning ul
in as uc u es) and incidence o
ligh
Digi al Twin isualisa ion
depic ing:
- 3D map isualisa ion o
buildings and in as uc u es
- Shadow impac model
isualisa ion
- Na iga able 3D isualisa ion o
ci y in as uc u e
- CRUD sola in as uc u e
loca ion
- Shadow impac simula ion and
isualisa ion o e e y momen
du ing he yea
- Time na iga ion
DUET Cesium-badsed Local
Digi al Twin p o o ype
- 3D Sola impac map (Cesium)
20.1 Sola equipmen impac
isualisa ion
No No p i a e pe sonal da a a e
in ol ed
* PM = Pa icula Ma e / BC = Black Ca bon / CO² = Ca bon Dioxide / DB = Noise

1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
17
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
1
Dynamic
Exposu e
Visualisa ion
Dashboa d
(DEV-D)
Visualisa ion o
geospa ial &
ime-based da a
measu ing ai
quali y and
ambien
condi ions like
humidi y and
empe a u e o
in e p e ou e
condi ions
Dashboa d
isualising a el
ou es, ine dus
and BC exposu e
in line g aphs
(no mal and
cumula ed
g aphs)
Ai quali y da a
(PM), ambien
da a
( empe a u e,
humidi y), GPS
coo dina es
Geospa ial &
ime-based
isualisa ion o
IoT da a (ai
quali y and
ambien
condi ions)
Dynamic
Exposu e
Visualisa ion
Dashboa d
Be lin (DE),
Flande s (BE)
1.1 COMPAIR P ojec
De elopmen
1
2D T ip
isualisa ion
map
Spa ial
isualisa ion o
indi idual ips,
isualising he
ai quali y (PM
le els) along he
ou e
2D Map ou e
isualisa ion
depic ing oad
segmen s PM-
exposu e le els
Ai quali y da a
(PM), ambien
da a
( empe a u e,
humidi y), GPS
coo dina es
Geospa ial &
ime-based
isualisa ion o
IoT da a (ai
quali y and
ambien
condi ions)
Dynamic
Exposu e
Visualisa ion
Dashboa d
Be lin (DE),
Flande s (BE)
1.2 COMPAIR P ojec
De elopmen
1
Ai Quali y
exposu e line
cha
Line cha
isualisa ion o
exposu e le els
compa ed o he
WHO ai quali y
minimum a ge
Line cha
depic ing dis ance
o ime wi h he
ine dus pa icles
(μg/m2)
compa ed wi h
he WHO
guideline o black
ca bon (ng/m3)
exposu e
Ai quali y da a
(PM, BC),
ambien da a
( empe a u e,
humidi y), GPS
coo dina es
Geospa ial &
ime-based
isualisa ion o
IoT da a (ai
quali y and
ambien
condi ions)
Dynamic
Exposu e
Visualisa ion
Dashboa d
Be lin (DE),
Flande s (BE)
1.3 COMPAIR P ojec
De elopmen
1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
18
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
1
Ai Quali y
Cumula i e
exposu e line
cha
Line cha
isualisa ion o
cumula i e
exposu e le els
compa ed o he
cumula i e WHO
ai quali y
guideline
Line cha
depic ing dis ance
o ime wi h he
cumula i e ine
dus pa icles
(μg/m2)
compa ed wi h
he cumula i e
WHO guideline o
cumula i e black
ca bon emission
(ng/m3) exposu e
Ai quali y da a
(PM, BC),
ambien da a
( empe a u e,
humidi y), GPS
coo dina es
Geospa ial &
ime-based
isualisa ion o
IoT da a (ai
quali y and
ambien
condi ions)
Dynamic
Exposu e
Visualisa ion
Dashboa d
Be lin (DE),
Flande s (BE)
1.3 COMPAIR P ojec
De elopmen
1
Ai Quali y
Cumula i e
exposu e line
cha
Line cha
isualisa ion o
he inhaled dose
exposu e model
ou pu
Line cha
depic ing dis ance
o ime wi h he
cumula i e ine
dus pa icles
(μg/m2)
Ai quali y da a
(PM, BC),
ambien da a
( empe a u e,
humidi y), GPS
coo dina es
Geospa ial &
ime-based
isualisa ion o
IoT da a (ai
quali y and
ambien
condi ions)
p ocessed by an
inhaled dose
simula ion
algo i hm
Dynamic
Exposu e
Visualisa ion
Dashboa d
Be lin (DE),
Flande s (BE)
1.4 COMPAIR P ojec
De elopmen
2
Floa ing ca da a
mobili y
dashboa d
O e iew o he
his o ical a ic
lows
Dashboa d,
mul iple
isualsa ions
Floa ing ca da a Mul iple ypes Cus om buil
dashboa d
wi h Angula
Issy-Les-
Moulineaux
(FR), Sol a
(BE)
2.1 PoliVisu P ojec
De elopmen
2
T a ic speed
and delay ime
dis ibu ion
his og am
O e iew o he
speed and ime
delay (du ing he
day)
Line cha (single
line)
Floa ing ca da a G aph a ic ime
and speed delay
p ocessing
(hou ly)
Cus om buil
line g aph
wi h Angula
Issy-Les-
Moulineaux
(FR)
2.1 PoliVisu P ojec
De elopmen
1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
19
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
2
Line-based ee
low map
O e iew o he
speed compa ed
o he ee loa
speed on a oad
segmen
Line map
isualisa ion (line
segmen colou
scale)
Floa ing ca da a Geospa ial &
ime-based
isualisa ion o
a ic
edis ibu ion ee
low speed
Cus om buil
ee low map
wi h Angula
Issy-Les-
Moulineaux
(FR)
2.1 PoliVisu P ojec
De elopmen
2
Table (los ime) O e iew o he
mos conges ed
days and mos
conges ed oad
segmen s
Table Floa ing ca da a T a ic ime and
speed delay
p ocessing
(hou ly)
Cus om buil
ma ix able
wi h Angula
Issy-Les-
Moulineaux
(FR)
2.1 PoliVisu
2
F ee- low
dis ibu ion
hea map ma ix
Hou /day
o e iew o he
ee low speed
Ma ix able
( alue, colou
scale)
Floa ing ca da a G aph T a ic
ime delay
p ocessing
(hou ly/daily)
Cus om buil
ma ix able
wi h Angula
Issy-Les-
Moulineaux
(FR)
2.1 PoliVisu P ojec
De elopmen
3
A e age speed
con ol
dashboa d
Dashboa d
p o iding
his o ical and
ecen da a
abou a e age
speed con ol
zones
Dashboa d
isualising
a e age speed
con ol da a using
ba cha s, pie
cha s, line cha s
and ma ix
isualisa ions
Pseudonymized
his o ical ANPR
da a
Geospa ial &
ime-based
p ocessing o
pseudonymized
ANPR da a
Macq Sa -
M3, cus om
buil
Policezone
Voo kempen
(BE)
- PoliVisu P ojec
De elopmen
3
Hea map Visualising he
ela i e
pe cen age o
in ac ions a a
ypical momen
du ing he week
Hea map ( ime,
in ac ion
pe cen age)
Pseudonymized
his o ical ANPR
da a
Geospa ial &
ime-based
p ocessing o
pseudonymized
ANPR da a
Macq Sa -
M3, cus om
buil
Policezone
Voo kempen
(BE)
3.1 PoliVisu P ojec
De elopmen
1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
20
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
3
Flow a e
diag am
Visualising he
a e age speed
ela i e o he
numbe o
ehicles and
ime pe iod
(du ing he day)
Flow a e diag am
(a e age speed,
numbe o
ehicles)
Pseudonymized
his o ical ANPR
da a
Geospa ial &
ime-based
p ocessing o
pseudonymized
ANPR da a
Macq Sa -
M3, cus om
buil
Policezone
Voo kempen
(BE)
3.2 PoliVisu P ojec
De elopmen
3
A e age Speed
Con ol In ac ion
His og am
Visualising he
ela i e
pe cen age o
in ac ions and
nea in ac ions
o e ime o
moni o long-
e m e ec s
A e age speed
con ol his o g am
(in ac ion
pe cen age, ime)
Pseudonymized
his o ical ANPR
da a
Geospa ial &
ime-based
p ocessing o
pseudonymized
ANPR da a
Macq Sa -
M3, cus om
buil
Policezone
Voo kempen
(BE)
3.3 PoliVisu P ojec
De elopmen
4
Sankey
dis ibu ion
diag am
Dis ibu ions o
o igin
des ina ion
be ween places
(local
communi ies &
ci ies)
Sankey diag am
(line diag am -
line hickness,
line colou )
Floa ing ca da a G aph p ocessing
o
o igin/des ina ion
o displacemen
coun s
TomTom
Mo e
Sol a (BE) 4.1 PoliVisu Exis ing Toolse
4
O igin-
Des ina ion
ma ix diag am
and hea map
O igin/des ina io
n dis ibu ion
diag am,
isualizing he
dis ibu ion o
ips be ween
local
communi ies
and in he
communi y i sel
Ma ix able
( alue, colou
scale)
Floa ing ca da a G aph p ocessing
o
o igin/des ina ion
displacemen
coun s
TomTom
Mo e
Sol a (BE) 4.2 PoliVisu Exis ing Toolse
1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
21
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
4
T a ic low
line/ ip
dis ibu ion map
O igin/des ina io
n dis ibu ion o
ge geospa ial
insigh s in o
displacemen
pa e ns
Line and a ea
map isualising
ips (line coulo -
g ey scale, a ea
colou ade ou )
Floa ing ca da a Geospa ial &
ime-based
p ocessing and
isualisa ion o
o igin/des iona io
n displacmen
coun s
TomTom
Mo e
Sol a (BE) 4.3 PoliVisu Exis ing Toolse
5
Policy Moni o ing
Dashboa d o
T a ic and Ai
Quali y Senso
Ge ing insigh s
in o he e ec s
o measu ed
a ic and ai
quali y be o e
and a e a
e e ence
momen
Dashboa d,
mul iple
isualsa ions
Fixed a ic
senso s
(measu ing
mul iple a ic
modes), ixed ai
quali y senso s
( ine dus , black
ca bon, NO2)
Geospa ial &
ime-based
isualisa ions
Compai
Policy
Moni o ing
Dashboa d
(PMD)
Vlaande en
(He zele)
5.1 COMPAIR P ojec
De elopmen
5
2D Senso
Loca ion Map
Geospa ial
o e iew o ixed
senso loca ion
o ge an
o e iew o an
a ea
2D Map wi h
senso loca ions
(line segmen s,
poin s depending
on he senso
ype)
Fixed a ic
senso s
(measu ing
mul iple a ic
modes) (He zele,
Mechelen)
Fixed ai quali y
senso s ( ine
dus , black
ca bon, NO2)
(He zele)
Map isualisa ion Compai
Policy
Moni o ing
Dashboa d
(PMD),
Cus om-buil
Dashboa d
o school
s ee s
Vlaande en
(He zele,
Mechelen,
Sin -Niklaas)
5.1; 6.2;
7.2
PoliVisu;
COMPAIR
P ojec
De elopmen

1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
22
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
5
Ba cha O e iew o he
a ic and ai
quali y impac
Ba cha s
isualise posi i e
and nega i e
alues be o e and
a e a e e ence
pe iod
Fixed a ic
senso s
(measu ing
mul iple a ic
modes), ixed ai
quali y senso s
( ine dus , black
ca bon, NO2)
Ba cha Compai
Policy
Moni o ing
Dashboa d
(PMD)
Vlaande en
(He zele)
5.2 COMPAIR P ojec
De elopmen
6
school s ee
implemen a ion
dashboa d
Dashboa d
p o iding
his o ical and
li e da a abou
he a ic in and
a ound school
s ee s o e alu!
a e a school
s ee
implemen a ion
Dashboa d
isualising a ic
coun da a
a ound schools
using ba cha s,
line cha s, modal
spli pie cha s
and end
analysis line
cha s.
Tel aam a ic
coun da a
(agg ega ed da a
o a ic coun s
pe anspo
mode), loca ion
da a (schools)
and wea he
in o ma ion
Geospa ial &
ime-based
p ocessing and
isualisa ion o
a ic coun da a
Cus om buil
wi h Angula
Mechelen
(BE)
6.1 PoliVisu P ojec
De elopmen
6
Ba cha
(ad anced)
Visualising bike
use, including
links wi h he
policy a ge s,
and he
possibili y o
hide and show
ca ego ies
Ba cha
(ad anced)
including o he
in o ma ion
(policy goal and
wea he
condi ions)
Numbe o
cyclis s, policy
a ge
ime-based
p ocessing and
isualisai on o
a ic coun da a
(cyclis s)
Cus om buil
wi h Angula
Mechelen
(BE)
6.3 PoliVisu P ojec
De elopmen
1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
23
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
6
Compa a i e
end analysis
line cha
Analysing he
di e ence in use
o anspo
modes be ween
wo ime pe iods
Line g aph
isualising he
di e ence
be ween wo
pe iods
Numbe o oad
use s
ime-based
p ocessing and
isualisai on o
he di e ence in
a ic coun da a
be ween wo
pe iods (cyclis s,
peds ians, ca s,
big ehicles)
Cus om buil
wi h Angula
Mechelen
(BE)
6.3 PoliVisu P ojec
De elopmen
6
Line cha
(ad anced)
Visualising he
a ic du ing he
hou s o he day
a school s ee
was
implemen ed
Line cha
(ad anced)
including wea he
in o ma ion and
he possibili y o
swi ch on and o
ca ego ies
Numbe o oad
use s, wea he
in o ma ion
ime-based
p ocessing and
isualisai on o
a ic coun da a
(cyclis s,
peds ians, ca s,
big ehicles)
Cus om buil
wi h Angula
Mechelen
(BE)
6.3 PoliVisu P ojec
De elopmen
6
Modal spli pie
cha
Modal spli
isualisa ion
(dis ibu ion
be ween
anspo
modes)
Pie cha
isualising he
modal spli
Numbe o oad
use s
ime-based
p ocessing and
isualisai on o
a ic coun da a
(cyclis s,
peds ians, ca s,
big ehicles)
Cus om buil
wi h Angula
Mechelen,
Sin -Niklaas
(BE)
6.4; 7.5 PoliVisu P ojec
De elopmen ,
Tel aam.ne
dashboa d
7
T a ic coun
da a mobili y
dashboa d
Visualisa ion o
he Tel aam.ne
a ic senso
da a coun ing
pedes ians,
cyclis s, ca s
and big ehicles
and ehicle
speed
Dashboa d,
mul iple
isualsa ions
Tel aam ci izen
science senso s
ime-based AI
pic u e
p ocessing
anonymised and
agg ega ed
Tel aam.ne
dashboa d
Sin -Niklaas
(BE)
7.1 COMPAIR Exis ing Toolse
1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
24
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
7
S acked ba and
line cha s ( a ic
olumes)
Visualisa ion o
de ailed a ic
olumes o a
s ee segmen
(hou o he day
o a mul iple-
day pe iod)
S acked ba and
line cha
Tel aam ci izen
science senso s
ime-based AI
pic u e
p ocessing
anonymised and
agg ega ed
Tel aam.ne
dashboa d
Sin -Niklaas
(BE)
7.3 COMPAIR Exis ing Toolse
7
His og am
(d i ing speed)
Visualisa ion o
he a ic speed
o ge an
o e iew o he
a ic beha iou
His og am
(d i ing speed,
and V85
pe cen ile o e
day ime)
Tel aam ci izen
science senso s
ime-based AI
pic u e
p ocessing
anonymised and
agg ega ed
Tel aam.ne
dashboa d
Sin -Niklaas
(BE)
7.4 COMPAIR Exis ing Toolse
8, 10
2D In e ac i e
hea map
dashboa d
Be e insigh s in
he loca ion and
ype o inciden s
Hea map
displaying he
acciden ho spo
loca ions (colou
and a ea size)
combined wi h
o he da a
sou ces
Anonymized
acciden da a +
o he ele an
da a sou ces ( o
ex. schools,
a e age speed
con ol zones)
Geospa ial &
ime-based
p ocessing and
isualisa ion o
oad acciden s
WebGLaye Flande s
(BE), Pilsen
(CZ)
8.1; 10.1 PoliVisu P ojec
De elopmen
8, 10
In e ac i e cha s Be e insigh s
in o he loca ion
and ype o
a ibu e da a
In e ac i e ba
and line cha s
allowing
in e ac i e
selec ion
Geospa ial &
ime-based
da ase wi h
a ibu e da a
Geospa ial &
ime-based
p ocessing
WebGLaye Flande s
(BE), Pilsen
(CZ)
8.1; 10.1;
11.1; 11.2
PoliVisu
9
Polygon
cho ople h map
Map isualizing
do m s uden
mo emen s
du ing he
academic yea
Cho ople h map
(Colou scale),
base oad map,
main uni e si y
and high-school
buildings
Mobile phone
da a (loca ion,
ime) o a
selec ed g oup
based on a geo-
ime-based p o ile
selec ion
Geospa ial &
ime-based
p ocessing and
isualisa ion o
mobile phone
da a
QGis Ghen (BE) 9.1; 9.2 PoliVisu Exis ing Toolse
1_Visualisa ionCases_AnalysisDa a Table_A3 Visualisa ionTechniques
25
TABLE RESEARCH DATA 3: Visualisa ion echniques o e iew
Cap ion: O e iew o he used isualisa ion echniques, cha ac e is ics and use
Pilo Visualisa ion echnique Cha ac e is ics Use
Case
isual n . P ojec Tool
n Name
Visualisa ion
goal
( ela ed o he
isualisa ion
echnique)
Visualisa ion ype Type o inpu Type o
p ocessing Tools Pilo s N Name (p ojec de /
exis ing)
11
2D In e ac i e
a ic line map
Visualising he
a ic le el and
in ensi y o each
oad segmen
2D In e ac i e line
map isualisa ion
(using a colou
scale), in e ac i e
his og ams and
calenda selec o .
T a ic senso s
( a ic loops and
coun ing
came as)
Geospa ial &
ime-based
p ocessing and
isualisa ion o
a ic conu da a
WebGLaye Pilsen (CZ) 11.1; 11.2 PoliVisu P ojec
De elopmen
12
2D T a ic
olume del a
map
Visualising he
a ic olume
changes
be ween wo
momen s in ime
o e alua e a
a ic inc ease
o dec ease
Line segmen s
( oad segmen s)
isualisa ion
(colou scale)
T a ic model
(model based on
a ic coun s,
census and oad
ne wo k da a)
Geospa ial &
ime-based
p ocessing and
isualisa ion o
a ic model da a
T a ic
modelle
Pilsen (CZ) 12.1 PoliVisu P ojec
De elopmen
13,
19
2D T a ic model
olume map
Visualising he
a ic olumes
o a a ic model
calcula ion o
e alua e a ic
olumes and
olumes ela ed
o oad capaci y
Line segmen s
( oad segmen s)
isualisa ion
(colou scale, line
hickness) and
absolu e numbe s
T a ic model
(model based on
a ic coun s,
census and oad
ne wo k da a)
Geospa ial &
ime-based
p ocessing and
isualisa ion o
a ic model da a
T a ic
modelle
Pilsen (CZ) 13.1; 19.1 PoliVisu P ojec
De elopmen
1_Visualisa ionCases_AnalysisDa a Table_2_P ep_Sco ing
32
A hens (GR) Digi al Twin - G een squa es planning
Policy Design Policy implemen a ion Policy e alua ion
P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
1 1 1 1 1
17 H2020 DUET Type: DIGITAL TWIN (DIGITAL TWIN VISUALISATION)
A hens (GR) Digi al Twin - T a ic load & c ea ion o a pedes ian and cycling ou e
Policy Design Policy implemen a ion Policy e alua ion
P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
1 1 1 1 1
18 H2020 DUET Type: DIGITAL TWIN (DIGITAL TWIN VISUALISATION)
Pilsen (CZ), Ghen (BE) Digi al Twin - Impac o oad closu es
Policy Design Policy implemen a ion Policy e alua ion
P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
1 1 1 1 1 1 1 1
19 H2020 DUET Type: DIGITAL TWIN (DIGITAL TWIN VISUALISATION)
Pilsen (CZ) Digi al Twin - Ring oad cons uc ion impac
Policy Design Policy implemen a ion Policy e alua ion
P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
1 1 1 1 1 1 1 1
20 H2020 DUET Type: DIGITAL TWIN (DIGITAL TWIN VISUALISATION)
Pilsen (CZ) Digi al Twin - Sola equipmen loca ions in he ci y pa k
Policy Design Policy implemen a ion Policy e alua ion
P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
1 1 1 1 1 1
To als O e iew esul s
Policy Design Policy implemen a ion Policy e alua ion
P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
18 10 7 9 10 4 7 15 14 7

1_Visualisa ionCases_AnalysisDa a Table_2_P ep_Sco ing
33
Visualisa ion solu ion
Policy Design Policy implemen a ion Policy e alua ion
MATCH P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
Dashboa d
isualisa ion 6 3 1 2 2 1 5 5 5 3
-Visualisa ion DB 3 2 0 0 0 0 2 2 2 1
-PolicyDB 3 1 1 2 2 1 3 3 3 2
In ensi y map
isualisa ion 6 4 1 1 2 1 1 4 4 1
Algo i hm isualisa ion 1 1 1 1 1 1 1 2 1 1
Digi al Twin
isualisa ion 5 2 4 5 5 1 0 4 4 2
To als 44 36 21
Policy Design Policy implemen a ion Policy e alua ion
TOTALS P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
Dashboa d
isualisa ion 7 7 7 7 7 7 7 7 7 7
-Visualisa ion DB 4 4 4 4 4 4 4 4 4 4
-PolicyDB 3 3 3 3 3 3 3 3 3 3
In ensi y map
isualisa ion 6 6 6 6 6 6 6 6 6 6
Algo i hm isualisa ion 2 2 2 2 2 2 2 2 2 2
Digi al Twin
isualisa ion 5 5 5 5 5 5 5 5 5 5
To als 80 80 40
Policy Design Policy implemen a ion Policy e alua ion
PERCENTAGE P oblem-se ing Policy o mula ion Scena io analysis Decision Implemen-
a ion plan
Implemen-
a ion
On-going
moni o ing Communica ion Impac assessmen P oblem ( e)s uc u
-ing
Dashboa d
isualisa ion 85.71% 42.86% 14.29% 28.57% 28.57% 14.29% 71.43% 71.43% 71.43% 42.86%
-Visualisa ion DB 75.00% 50.00% 0.00% 0.00% 0.00% 0.00% 50.00% 50.00% 50.00% 25.00%
-PolicyDB 100.00% 33.33% 33.33% 66.67% 66.67% 33.33% 100.00% 100.00% 100.00% 66.67%
In ensi y map
isualisa ion 100.00% 66.67% 16.67% 16.67% 33.33% 16.67% 16.67% 66.67% 66.67% 16.67%
Algo i hm isualisa ion 50.00% 50.00% 50.00% 50.00% 50.00% 50.00% 50.00% 100.00% 50.00% 50.00%
Digi al Twin
isualisa ion 100.00% 40.00% 80.00% 100.00% 100.00% 20.00% 0.00% 80.00% 80.00% 40.00%