Prof. Dr. Cathy Macharis...

Bedrijven en duurzame mobiliteit Prof. Dr. Cathy Macharis 4/12/2015

Power converters

Battery & supercap Models

Vehicle Simulation Program

TCO Big Data

Business Model

LCA Transport Model

External Cost

Calculator

MAMCA

MOBI: Themes and Tools

2

MOBI - Mobility, Logistics and Automotive Technology

Sustainable Logistics

Electric & Hybrid Vehicles

Urban Mobility

MOBI Team

Cathy Macharis, VUB-‐MOBI 3

MOBIlity, Logistics and Automotive Technology

Research Centre


Uitdagingen

oplossingen Mogelijke onderzoekspistes

Storyline

Context: Bedreigingen Brussel

8/12/15 5

Vrije Universiteit Brussel MOSI - Transport & Logistics

Mobility and Automotive Technology

8/12/15 6

Vrije Universiteit Brussel MOSI - Transport & Logistics

Mobility and Automotive Technology

Levenskwaliteit

57% NOx – 25% PM

5 A’s of sustainable transport

Cathy Macharis

Anticipation Avoidance

Act and shift 9 EC

Actor involvement

Awareness

Cathy Macharis, VUB-MOBI 10

17-09-2015 12 Ecoscore presentation VUB

Company Private 2008 42,7% 57,3% 2009 37,4% 62,6% 2010 37,1% 62,9% 2011 39,5% 60,5% 2012 47,1% 52,9% 2013 46,0% 54,0% 2014 46,7% 53,3%

Fleet size

Cijfers Febiac


2008 2009 2010 2011 2012 2013 2014 2008 2009 2010 2011 2012 2013 2014 Company Private

ALT 422 495 1449 1685 4578 4232 6232 973 1174 2639 5224 1868 2573 3326

CNG 21 24 31 29 43 87 444 12 6 8 8 33 59 478

LPG 176 106 81 74 44 11 10 676 526 394 220 252 151 125

DSL 205546 158338 178141 200602 195312 185075 181223 216244 201825 236783 229102 140023 130733 118826

BNZ 22162 19761 23282 23105 29988 34673 38426 88829 96241 103613 110660 115751 130004 135308

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

(g/km)

New fleet per fuel emissions per registraDon type


See Appendix II for absolute numbers

Fleet size

Ecoscore


Vrije Universiteit Brussel -‐ MOBI MOBI - Mobility, Logistics and Automotive Technology 23

•  PROMOCO-‐project

•  Professional Mobility and •  Company car ownership

•  01/01/2007 – 31/01/2009

•  Partners: •  University of Namur │ GRT – Philippe Toint & Eric Cornelis •  University of Hasselt│ IMOB – Geert Wets

•  Report •  E. Cornelis, M. Castaigne, X. Pauly, A. De Wide, K. Ramaekers. Professional mobility and company car ownership “Promoco”. Final Report.

Brussels : Belgian Science Policy 2009 – 126 p. (Research Programme Science for a Sustainable Development) •  hdp://www.belspo.be/belspo/ssd/science/Reports/PROMOCO%20-‐%20FinalRep_DEF.pdf


•  CC have higher annual mileage Annual mileage made by the respondents to the employees' surveys

0

5

10

15

20

25

30

35

40

45

<= 5 000 5 001 - 10 000 10 001 - 20 000 20 001 - 30 000 30 001 - 40 000 40 001 - 50 000 > 50 000

Annual mileage

%

Original Survey without CC Original Survey with CC Additional Survey - TNS Additional Survey - Contacts


•  Employees with CC make more professional trips

Frequencies of professional displacements

0

5

10

15

20

25

30

35

40

45

Every day Very often (at least twice aweek)

Regularly (at least 3 timesa month)

Sometimes (at least oncea month)

Rarely (less than once amonth)

Never

%

Original Survey without CC Original Survey with CC Additional Survey - TNS Additional Survey - Contacts


•  Fuel refund generates higher annual mileage for private trips

33.529

37.022

31.388

32.624

0 10.000 20.000 30.000 40.000 50.000

Priv National

Priv Abroad

Kilometers

Fuel refund No fuel refund


•  3 types of CC users with different annual mileage

Representatives

Enjoyers

Commuters

37.500 km

32.000 km

22.000 km

annual mileage

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Herhaling titel van presentatie

The typical company car user

• Higher educated • Male •  Younger than 50 years old • Management or board funcmon • Company located in Flemish Region

Exploring the issue of Company cars

Avoidance

EC Cathy Macharis 29

Verm

ijden

Evite

r

Project telewerken

§  Ondernemingen met bestaand telewerkbeleid

§  Personeel >100 werknemers §  Uit het BHG §  Met diverse bereikbaarheidszones

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Eindrapport Telework

Avoidance: Potenmal of telework

8/12/15 31 Eindrapport Telework

71%

29%

Ja Nee

28%

5% 67%

Combiname Satellietwerk Telethuiswerk

Carpooling


Avoidance: Car sharing



Cathy Macharis


Act and shift 35 EC

Actor involvement

Act and shift

From and too Brussels

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Modus Belgen Brusselaars

Evolume MOBEL BELDAM MOBEL BELDAM

75% 63% 87% 77%

14% 26% 3% 10%

Modale keuze: Huidige situatie en evoluties

Verplaatsingen in Brussel

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MOSI - Transport & Logistics Mobility and Automotive Technology

Modus MOBEL BELDAM Evolume 50% 32%

33% 37%

1% 3,5%

14,5% 24%


Shiq from CC to free PT if obstables are removed?

Company car Private car

YES 7% 16% 10% 25%

Maybe 30% 39% 42% 53%

NO 63% 45% 48% 22%


Cathy Macharis


Act and shift 43 EC

Actor involvement

Anmcipamon of new technology


Verschon

en

Anmciper

MOBI 46 Cathy Macharis

Anticipation

Self driving cars

47 MOBI - Mobility, Logistics and Automotive Technology

Self driving cars

Mobility as a service


Possible solutions


Economical Ecological Social Awareness! Internalisamon of external costs + ++ + Programmes & Cermficamon ++ + +

Avoid! Opmmisamon of loading factors ++ +++ + Horizontal & Vermcal Cooperamon ++ +++ +++ Urban Distribumon center & Alternamve Consolidamon schemes -‐/+ +++ ++

Act! City barge transport & Pallets +/-‐ +++ ++ Cargo Tram +/-‐ +++ ++ Night mme deliveries + ++ -‐

Anmcipate! Natural Gas + + + Electric Vehicles + +++ ++

Stakeholders

EC 50

Cathy Macharis

Openbaar vervoer

Burgers Lease

Werkgevers Werknemers

….


Cathy Macharis


Act and shift 51 EC

Actor involvement

Actor Involvement


Verbinde

n Relier

Mulm Actor Mulm Criteria Analysis (MAMCA)


Mulm Actor View



Uitdagingen

oplossingen Mogelijke onderzoekspistes

Storyline

Vrije Universiteit Brussel - MOBI MOBI - Mobility, Logistics and Automotive Technology 56

Onderzoekspistes -Awareness: DATA metaonderzoek -Avoidance and Act and shift: Mobiliteitsbudget/fiscaliteit -Anticipate/Business: Mobility as a service: welk business model voor lease maatschappijen? -Anticipate/Beleid: Politieke context: welke scenario’s zijn mogelijk? -Anticipate: E-Mobility and workplace of the future -Locatie en ruimtelijke aspecten

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Prof. Joeri Van Mierlo EV’s and Hybrid vehicles Prof. Cathy Macharis Logistics, city distribution and sustainable mobility Prof. Peter Van den Bossche Standardisation and batteries Prof. Lieselot Vanhaverbeke Location analysis Geo-Marketing Socio-economic aspets of EV’s

Prof. Thierry Coosemans Electromobility Prof. Thomas Crispeels Business Modelling and innovation Prof. Wouter Verbeke Big data and data anlaytics Prof. Noshin Omar Director Battery Innovation Centre

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Prof. Dr. Cathy Macharis...

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