SMART CITIES CONCEPTS AND URBAN MOBILITY MARIANNE LINDE 12 JUNE 2015

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1 SMART CITIES CONCEPTS AND URBAN MOBILITY MARIANNE LINDE 12 JUNE 2015

2 SOME EXAMPLES: AMSTERDAM THE HAGUE ASSEN R_Q dex.php?pageid=home

3 SENSOR CITY ASSEN MOBILITY The goal is to verify the added value of reliable floating car data (FCD) and fixed sensor data: Traffic Management Services, Multimodal travel assistance with carpooling Parking guidance service Pay as you drive Impact: better traffic flow, less incovenience, multimodal use

4 Floating car data Fixed grid data OVERVIEW SENSOR CITY MOBILITY Sensor 1 GPS Sensor 2 roadsystem Sensor 3 Camera Sensor 4 Bluetooth Modelling Data fusion Traffic simulation Evaluation Back office Data center Reserve + Pay Customer care map data is crucial! Smart Traffic Lights Dynamic Traffic Management Multimodal travel assistance with carpooling Parking guidance service Pay How You Drive Technical infrastructure: one platform hosting all Value added servives and billing

5 EXAMPLES SMART CITY TRAVELLING 1 3 Smart City Travelling Planning Load Reserve Check Optimise Walk to public Public Adjust 3. Travel electric Transport emission lightning route your by Parking traffic car car trip lights transport on route

6 PILOT IN THE HAGUE DYNAMIC TRAFFICMANAGEMENT IN THE CITY THE HAGUE Effective traffic management Improvement of urban quality (air quality and noise) Sustainable urban system (reduction emissions)

7 Monitoring actual traffic flows and modeling expected traffic flows

8 Modeling actual and expected car emissions

9 Modeling expected urban quality (noise and in future air quality)

10 We analyse the results and activitate new traffic scheme ( by route information panels and traffic lights)

11 CHALLENGE Creating sustainable cities of the future, adapted for the age of telecommunications and mass (automotive) mobility. These changes are related to people (behaviour), urban structures and mobility systems

12 DEFINITION OF A SMART CITIES AND URBAN MOBILITY Smart(er) operations Controlling city flows Faster, more accurate, more effective, more efficient, more predictable Smart(er) (re)design Densification and transformation Cocreation and bottom up processes PSS: Re-using existing knowledge within an integral approach Improved city services New services built on top of smart infrastructures & smart buildings 12

13 MORE SPECIFIC Challenges from a geo-analytical point of view: Many different data sources No common urban spatial digital language Many data owners, restrictions and complex rules Changing requirements (economics, demographics, physical changes, policies & societal values) Many actors Complex questions form complex business models Mobility and urban management become more communication intensive. Meanwhile the number of different data formats, communication protocols. modeling systems grows too. This will lead to exponential growth of costs for all partners

14 APPROACH OF TNO Concepts & roadmaps Communities of practice and networks Tools Value cases

15 APPROACH TNO Concepts & roadmaps Communities of practice and networks Tools Value cases System oriented: incident management system, cooperative driving, oneline shops logistics and event organisation, in car technology, electric cars&energy systems Person (service) oriented: agenda based route navigation, touristic traveling and Parkinson net Place oriented: environment management systems, traffic management systems, route information systems and urban operation systems

16 APPROACH TNO Concepts & roadmaps Communities of practice and networks Tools Value cases Data factory Visualisation tools Integration tools Sensing tools

17 URBAN STRATEGY

18 APPROACH TNO Concepts & roadmaps Communities of practice and networks Tools Value cases

19 APPROACH TNO Concepts & roadmaps Communities of practice and networks Tools Value cases

20 APPROACH TNO Concepts & roadmaps Communities of practice and networks Tools Value cases Societal inclusive approach in urban operations, urban planning & mobility management Large scale applications (abroad) Part of Dutch public information infrastructure Back office for innovative sme s License models

21 QUESTIONS? 12 JUNE 2015

22 STRATEGIEËN VOOR WICKED SOCIAL MESSES? System Thinking, het doorzien van Structuren en relaties in plaats van Oorzaak & Effect verbanden in de werkelijkheid Veranderingspatronen in plaats van beschouwen van statische snapshots Analyse Haal het uit elkaar in onderdelen, Observeer en verklaar het gedrag per onderdeel, aggregeer verklaringen tot een begrip van het geheel Synthese Positioneer een onderdeel in een geheel, Observeer en verklaar gedrag van het geheel, Dis-aggregeer deze verklaring tot een begrip van rol en functie van de onderdelen

23 DASHBOARDING SUSTAINABLE URBAN ACCESSIBILITY

24 DYNAMISCH VERKEERSMODEL Onderzoek naar nieuwe techniek voor snelle dynamische verkeersmodellering. Yield of GatenVuller "local_advanced" Network (3307 links) Direct + Interpolated (3249/3307 links) Direct (573/3307 links) verkeers-intensiteiten en snelheden per gebied in kaart brengen dmv: Gemeten en geschatte reistijden, Gemeten intensiteiten netwerk transmissie model (c) TNO 2014

25 Wie gaat er eigenlijk Wanneer de stad in?

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28 DUURZAME GEDRAGSVERANDERING

29 VOORAL OUDEREN ZORGEN VOOR STERKE GROEI E-BIKE GEBRUIK Fiets als hefboom? Bron: CBS OViN 2013; bewerking KiM.

30 VOORAL OUDEREN ZORGEN VOOR STERKE GROEI E-BIKE GEBRUIK 14,5 miljard kilometer op de fiets 12% daarvan wordt op de e-bike afgelegd 1 miljoen nieuwe fietsen verkocht in 2014 (+4%) 21% daarvan is een e-bike (+6%) 10% van de Nederlanders is bezitter Nauwelijks gebruik tot 50 jaar (3% van de kilometers) Gemiddeld 2x zo grote afstand: 6,3km Snelheidsverschil 13,4km/u vs. 12,2 km/u bovenlokaal lokaal Hype of aan de vooravond van een Tipping point? Bron: CBS OViN 2013; bewerking KiM.

31 Gedragsmodel FOUNTAIN Elk individu is een agent, die een reis maakt Woon-werk verkeer gericht (gewoontegedrag) Gedrag wordt bepaald > 1000 parameters & gedragsregels De sociale omgeving wordt meegenomen Agents doen ervaringen op en proberen alternatieven uit

32 TAKE HOME MESSAGE