Systematic evaluation of new services at mobility hubs

Transcription

1 1 W I S S E N T E C H N I K L E I D E N S C H A F T Systematic evaluation of new services at mobility hubs Birgit Kohla birgit.kohla@tugraz.at Jürgen Fabian, Martin Fellendorf, Elena Just-Moczygemba u Mobil.TUM, Munich

2 2 2 A short history about mobility hubs in the city of Graz

3 3 3 VIENNA GRAZ Vienna: Graz:

4 4

5 % of trips 5 5 Graz 18,1 17,6 17,9 18,2 19,3 19,9 19,8 Public Transport 8,8 8,2 8,7 8,7 9,1 9,5 9,3 Car Passenger 33,8 37,2 37,3 37,5 38,2 35,7 37,5 Car Driver 8,3 11,7 12,5 14,2 14,1 16,1 14,5 Bicycle 31,0 25,3 23,6 21,3 19,3 18,8 18,9 Pedestrian Data source: City of Graz

6 6 6 Challenges in the City of Graz Increasing population (2031: ) Topographic basin location building land is limited local climate challenges (e.g. fine dust pollution)

7 7 7 Strategy Process Smart City Development principle in local planning processes Vision Graz 2050 dynamic and compact city mixed urban land use, attractive public space high quality of life

8 8 8 First Austrian Smart City Key Project ( ) people to live, places of employment 330 million investments Set of component demonstration actions Sustainable technologies in the areas of Energy Building technology Mobility

9 9 9 Sustainable mobility Science Tower Energy Plant Living Offices, Housing, Local supply, School Campus Helmut List Halle Public Space Foto: Martin Grabner

10 10 10 Generating first ideas of urban mobility hubs 2 Universities 3 civic institutions 2 fields of expertise 7 teams 3 places

11 11 11 Design requirements Public transport: tram & bus Mobility services: bicycle parking, E-car sharing, car rental, bike sharing, E-Taxi, private charging, bicycle service station Transit function, urban space & new buildings Information & guidance concept, cooperate identity Weather protection Additional elements: multifunction boxes, kiosk, beverage dispenser, sustainable energy concept

12 12 12 E-Point Rendering: Weisman, Tschiedl, Linninger

13 13 13 Mobility stripe Rendering: Kratzer, Matlschweiger, Schnellenberger, Rumpler

14 14 14 Round the triangles Rendering: Kliment, Hengel, Gruber

15 15 15 Combined mobility in the city of Graz million Euro 5 mobility hubs 7 E-Taxi stands 4 superchargers 25 E-Taxis

16 16 16 Why combined mobility services? Provide attractive and user-friendly mobility services Encourage multimodal travel behavior Reduce car ownership Reduce car trips Reduce travel time Reduce (local) emissions Provide attractive urban space

17 17 17 Combined mobility in the city of Graz Public charging E-Carsharing (E-)Bikes E-Taxis

18 18 18 Organization & Scalability Bicycle parking charging Pylon E-Taxi and privat charging E-Taxi and E-Carsharing E-Carsharing private charging Rental Car Taxi

19 19 19 in the City of Graz Mobility hub E-Taxi Supercharger

20 20 20 Carsharing Public transport operator Station-based and user-open system Time-based fare system 2 E-cars and 2 fossil cars at each hub User-friendly booking plattform Personal user support

21 21 21 Targets and benefits Additional mobility service Local taxi operator 25 e-taxis Exclusive parking and charging infrastructure Integration in mobility hubs

22 main topics User acceptance, User behavior Environmental impacts: energy, emissions, noise From field test to live, Lessons learned, Next steps.

23 23 23 Data and Methods Data sources User analysis Pilot region E-Mobility Passenger statistics Digital maps Transport model Data pool 3D-Simulation and Eye tracking Literature research Monitoring Counting Monitoring (E-) Car data GPS tracking Map-Matching User survey User of Car sharing User of E-Taxi Monitoring Charging activities User survey Households Companies Personas User survey Users at hubs

24 24 24 Pre-survey Reference Data 3 places 1 day 3 x 2 hours 75 students Traffic count Personal interviews

25 25 25 Pre-survey Traffic count Parking Bicycles Cyclists arriving and departing Passenger transfers

26 26 26 Pre-survey Personal Interviews in the street Current trip: origin, destination, travel mode, trip purpose Socio-demographic data Accessibility of travel modes: driver license, car ownership, season ticket Travel behavior: mode choice, travel distance Attitude towards travel modes Satisfaction with current mobility services

27 27 27 Pre-survey - Impressions

28 28 28 Pre-survey - Impressions

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