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Page 1: A Safe World - POLIS Network

© 2017 DEKRA

Vision Zero in Cities – Possible Or Not?

Walter Niewöhner, Brussels, 06th December 2017

A Safe World

Seite 1

Page 2: A Safe World - POLIS Network

© 2017 DEKRA

Content

Introduction

DEKRA + DEKRA Accident Research

Vision Zero in Cities

DEKRA Map

International Comparison

Analysis

Summary

Seite 2

Page 3: A Safe World - POLIS Network

© 2017 DEKRA

DEKRA Service Examples

Page 3

Child

seat

ToysPlay

area

Chair

Elevator

BridgeIndustrial

facilitiesRailroad

trailers

Fire behaviour

of bus seats

Gravestone

Page 4: A Safe World - POLIS Network

© 2017 DEKRA

Accident Research

- ...

- Accident database analysis

- Benefit calculation of Advanced Driver Assistance Systems

- Traffic surveys

- ...

Seite 4

Page 5: A Safe World - POLIS Network

© 2017 DEKRA

Vision Zero Map

Page 5

www.dekra-vision-zero.com

Total Europe

Data of cities 2490 1206

ZeFa-Cities 958 745

ZeFa - ohne year without road fatality www.dekra-vision-zero.com

Page 6: A Safe World - POLIS Network

© 2017 DEKRA

Interactive Vision Zero MapExample Belgium

Page 6

Page 7: A Safe World - POLIS Network

© 2017 DEKRA

City OverviewZeFa – Zero Fatalities

at least one year without road fatalities

Page 7

> 50,000 > 100,000 > 50,000 > 100,000

Austria AT 9 5 5 2

Belgium BE 29 9 8 0

Czech Republik CZ 22 6 13 2

Finland FI 20 9 17 6

France FR 117 39 78 14

Germany DE 183 80 128 31

Greece GR 61 12 26 2

Hungary HU 21 9 6 0

Italy IT 147 45 71 2

Japan JP 544 266 51 11

Lithuania LT 6 4 1 0

Luxembourg LU 1 1 1 1

Netherlands NL 73 27 61 16

Norway NO 11 6 6 3

Poland PL 86 39 28 4

Serbia RS 26 14 6 1

Slovenia SI 2 2 1 0

Spain ES 145 61 117 35

Sveden SE 21 7 18 4

Switzerland CH 10 6 7 3

United Kingdom UK 216 110 147 48

United States US 740 294 162 17

2.490 1.051 958 202

Number of Cities Number of ZeFa-Cities Country

www.dekra-vision-zero.com

Page 8: A Safe World - POLIS Network

© 2017 DEKRA

Vision Zero MapBiggest city without road fatality per country

Page 8

Austria AT Salzburg 150.887 Luxembourg LU Luxembourg 103.641

Belgium BE Elsene 82.202 Netherlands NL Almere 193.163

Czech Republik CZ Liberec 101.865 Norway NO Stavanger 199.237

Finland FI Espoo 259.383 Poland PL Zielona Góra 117.253

France FR Rennes 206.604 Serbia RS Čačak 113.383

Germany DE Aachen 260.454 Slovenia SI Maribor 94.984

Greece GR Larisa 145.981 Spain ES L'Hospitalet de Llobregat 253.782

Hungary HU Szombathely 79.534 Sveden SE Uppsala 140.454

Italy IT Reggio di Calabria 185.577 Switzerland CH Lausanne 127.821

Japan JP Fuchu 247.126 United Kingdom UK Wandsworth 308.304

Lithuania LT Alytus 54.437 United States US Alexandria (VA) 148.892

inhabitants

(2011)Country

Biggest

ZeFa city

inhabitants

(2011)Country

Biggest

ZeFa city

Page 9: A Safe World - POLIS Network

© 2017 DEKRA

Outlook

▪ Vision Zero map

DEKRA has the intention to go on with the map with support of IRTAD members

▪ DEKRA is analysing the data

Why are some cities seemingly better than others?

Vision Zero map

Data pool of

- Germany: Fatally + severely injured for each city

- Other countries

www.dadalos-d.org

Pagee 9

Page 10: A Safe World - POLIS Network

© 2017 DEKRA

Data Analysis of Cities (1)Average Fatalities in the Available Time Period

Page 10

0,0

0,5

1,0

1,5

2,0

2,5

3,0

3,5

4,0

0 500.000 1.000.000 1.500.000 2.000.000 2.500.000 3.000.000 3.500.000 4.000.000

Fata

litie

s /(

Year

* 1

00

,00

0 in

hab

itan

ts)

City Size

DE 2009 to 2015

0

1

2

3

4

0 50.000 100.000 150.000 200.000 250.000 300.000 350.000 400.000

Fata

litie

s /(

Year

* 1

00

,00

0 in

hab

itan

ts)

City Size

DE 2009 to 2015

0

5

10

15

20

25

30

0 50.000 100.000 150.000 200.000 250.000 300.000 350.000 400.000 450.000 500.000

Fata

litie

s/(Y

ea

r*1

00

,00

0 In

ha

b.)

City Size

Page 11: A Safe World - POLIS Network

© 2017 DEKRA

Data Analysis of Cities (2)

▪ Analysis of possible factors

City area, traffic area, employees, unemployed,

share of retirees, in-commuter, out-commuter,

modal split (public transport, pedestrian, bicyclist,

vehicle), ...

Which factors are influencing how?

Berlin

Schweinfurt

Neu-Ulm

RosenheimKempten

Landshut

Bamberg

Bayreuth

Erlangen

Fürth

Ingolstadt

Würzburg

Regensburg

Augsburg

Nürnberg

Frankfurt (Oder)

Brandenburg/Havel

Cottbus

Potsdam

WaiblingenBaden-Baden

Göppingen

Friedrichshafen

Offenburg

Schwäbisch Gmünd

Aalen

Konstanz

Villingen-Schwenningen

Tübingen

Ludwigsburg

Esslingen a. N.

Reutlingen

Pforzheim

Ulm

Heilbronn

Heidelberg

Freiburg (Breisgau)

Karlsruhe

Mannheim

Stuttgart

Bremerhaven

Wetzlar

Bad Homburg

Fulda

Marburg

Hamburg

RüsselsheimGießen

Hanau

Offenbach

Darmstadt

Kassel

Wiesbaden

Frankfurt (Main)

Greifswald

Stralsund

Neubrandenburg

Schwerin

Rostock

Langenhagen

Wolfenbüttel

Lingen a. Ems

Nordhorn

Hameln

Garbsen

Celle

Lüneburg

Delmenhorst

Wilhelmshaven

Salzgitter Hildesheim

Göttingen

Wolfsburg

Oldenburg

Osnabrück

Braunschweig

HannoverFrechen

IbbenbürenWillich

Ahlen

Bad Salzuflen

Pulheim

Sankt Augustin

HattingenMenden

Meerbusch

Hilden

Eschweiler

Euskirchen

Hürth

Stolberg

Langenfeld

Bergheim

Unna

Wesel

HertenGrevenbroich

Dormagen

Herford

Lippstadt

DinslakenBocholt

Troisdorf

Rheine

LüdenscheidDetmold

Gladbeck

Arnsberg

Castrop-Rauxel

Viersen

Dorsten

Minden

Velbert

Marl

Lünen

Düren

Gütersloh

Iserlohn

Witten

Siegen

Moers

Bergisch Gladbach

Remscheid Bottrop

Recklinghausen

Paderborn

Neuss

Solingen

Leverkusen

Herne

Mülheim / Ruhr

Hagen

Oberhausen

Krefeld

Gelsenkirchen

Mönchengladbach

Aachen

Münster/ Westfalen

Bielefeld

Bonn

Wuppertal

Bochum

Duisburg

Essen

Dortmund

Düsseldorf

Neustadt an der Weinstraße

Neuwied

Worms

Kaiserlautern

Trier

Koblenz

Ludwigshafen

Mainz

Halle / Saale

GörlitzPlauen

Zwickau

Chemnitz DresdenLeipzig

Dessau-Rößlau

Norderstedt

Flensburg

Lübeck

Kiel

Saarbrücken

Weimar

Gera

0

10000

20000

30000

40000

50000

60000

70000

80000

90000

0 5 10 15 20 25 30

Ein

pe

nd

ler

pro

10

0T

EW

ÖV Modals Split %

Schwerverletzte pro 100T EW * Schwerverletzte pro 100T EW

Stadtgröße>500.000 Einwohner>200.000 - < 500.000>100.000 - < 200.00050.000 - < 100.000

Modal Split Public Transport

In-c

om

mu

ter

/100,0

00 In

hab

itan

ts

Severely Injured / 100,000 Inhabitants(corresponds to circle size)

City Size>500,000 inhabitants

200,000 – 500,000

100,000 – 200,000

50,000 – 100,000

Page 11

Page 12: A Safe World - POLIS Network

© 2017 DEKRA

Data Analysis of Cities (3)Data of Germany

Page 12

yes 7 14 11 5 0 37

no 3 18 18 18 7 64

yes 70% 44% 38% 22% 0% 37%

no 30% 56% 62% 78% 100% 63%

yes 0 7 5 3 0 15

no 1 4 10 11 0 26

yes 0 3 3 0 0 7

no 0 3 9 5 2 18

yes

no 0 4 9 0 1 14

yes 7 24 18 6 0 55

no 4 29 42 32 8 115

<30 30 … <45 45 … <60 60 … 75 75 …

50 … <100

10 32 29 23 7

City Size

[in 1,000]

Suburb

City

Yearly Average of Severely Injured Road Users / 100,000 Inhabitants

101

100% 100% 100% 100% 100% 100%

41

200 … <500 0 6 12 5 2 25

100 … <200 1 11 15 14 0

14

total 11 53 65 43 11

500 … 0 4 9 0 1

183

total

Page 13: A Safe World - POLIS Network

© 2017 DEKRA

▪ “Vision Zero” in cities

is currently related to

“high income” countries

▪ Outside cities

are also many fatalities

▪ A worldwide comparison of

the road safety status is

showing the dimension in the

not “high income” countries

Page 13

International Road Safety Status Country Comparison

Algeria

Angola

Argentina

Australia

Bangladesh

Belgium

Benin

Bolivia (Plurinational State of)

Brazil

Burkina Faso

Cambodia

Canada

Chad

Chile

China (People's Republic of)

Colombia

Cöte d’Ivoire

Cuba

Czech Republic

Democratic Republic of the Congo

Dominican Republic

Ecuador

Egypt

Ethiopia

FranceGermany

Ghana

Greece

Guatemala

Guinea

India

Indonesia

Iran (Islamic Republic of)

Iraq

ItalyJapan

Kazakhstan

Kenya

Madagascar

Malawi

Malaysia

Mali

Mexico

Morocco

Mozambique

Myanmar

Nepal

Netherlands

Niger

Nigeria

Pakistan

Peru

Philippines

PolandPortugal

Republic of KoreaRomania

Russian Federation

Rwanda

Saudi Arabia

Senegal

Somalia

South Africa

Spain

Sri Lanka

Sudan

Thailand

Tunisia

Turkey

Uganda

United Kingdom

United Republic of Tanzania

United States of America

Viet Nam

Yemen

Zambia

Zimbabwe

R² = 0,9369

0,00001

0,00010

0,00100

0,01000

0,10000

0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1

Mo

del

led

nu

mb

er o

f ro

ad t

raff

ic d

eath

s Po

int

esti

mat

e /

Veh

icle

s N

um

ber

of

regi

ster

ed

veh

icle

s

Vehicles Number of registered vehicles / General Information Population numbers for 2013

Estimated road traffic death rate per 100 000 population

highupper middlelower middlelow

Classification

Low ( ... 1,045$)

Lower middle ( 1,046$ ... 4,125$)

Upper middle ( 4,126$ ... 12,745$)

High (12,746$ ... )

Ro

ad

Tra

ffic

Death

s/ R

eg

iste

red

Veh

icle

s

Registered Vehicles / Per Capita

Road Traffic Death/ 100,000 Inhabitants(corresponds to circle size)

Data source: WHO report

only countries >10,000,000 inh.

Page 14: A Safe World - POLIS Network

© 2017 DEKRA

Summary

Vision Zero is no fiction

It is already becoming reality (at least regarding the fatalities) in some cities

Now there is a possibility to show „save“ areas

instead of statistics regarding fatalities

Positive way to demonstrate „Road Safety“

Shove of motivation: „It should also be possible in our city.“

Detailed analysis is ongoing

Seite 14

Page 15: A Safe World - POLIS Network

© 2017 DEKRA Seite 15

Mission

Safety

Thank you Merci Vielen Dank

[email protected]

+49 711 7861 2608