OAA 2018 Putting People in Design Using Crowd Simulation

Transcription

1 OAA 2018 Putting People in Design Using Crowd Simulation Aarshabh Misra, P. Eng. Lachlan Miles Pedestrian planning and simulation

2 Contents Introduction to the History and Theory of Pedestrian Planning and Simulation Case Study: Venues Case Study: Stations Case Study: Airports Conclusion: Values and Limits of Simulation

3 HISTORY OF PEDESTRI AN PLANNING Introduction INSIGHTS STRATEGY USER CENTRIC DESIGN

4 PEDESTRI AN PLANNING Pedestrian Planning Theory SIMULATION CAPACITY SPACE PLANNING WAYFINDING USER EXPERIENCE

5 THEORY OF PEDESTRI AN MOVEMENT What do we study? Performing Venues Education Libraries Rail Airports Commercial/Residential Urban Design Museums Sport Venues

6 THEORY OF PEDESTRI AN MOVEMENT When do we study?

7 Architecture and Layout Operations and Staffing Crowd Volumes and Demand

8 THEORY OF PEDESTRI AN MOVEMENT Understanding flows

9 THEORY OF PEDESTRI AN MOVEMENT Capacity analysis 12% 11% 10% 9% Melbourne Victory Avg Arrivals AFL Grand MCG MHA Criteria Spectator Arrival Profile Comparison of Event Type by Arrival Proportion 70.0% peak 30-min arrivals Event Start 8% Spectators 7% 6% 5% 4% 3% 2% 1% 0% % peak 30-min arrivals 40.7% peak 30-min arrivals Minutes from Event Start

10 THEORY OF PEDESTRI AN MOVEMENT Wayfinding and signage

11 THEORY OF PEDESTRI AN MOVEMENT Observations and calibrations 12:49:34 12:49:42

12 THEORY OF PEDESTRI AN MOVEMENT Space, congestion, and process planning

13 THEORY OF PEDESTRI AN MOVEMENT Understanding the User Experience

14 Guidelines and Standards

15 HISTORY OF PEDESTRI AN PLANNING Fruin Levels of Service (1971)

16 HISTORY OF PEDESTRI AN PLANNING Fruin Levels of Service (1971) LOS A LOS B LOS C LOS D LOS E LOS F

17 THEORY OF PEDESTRI AN MOVEMENT Guidelines and Standards

18 PEDESTRI AN PLANNING Methods and Tools PROCESS MODELLING STATIC MICROSIMULATION 2D AND 3D BIM

19 HISTORY OF PEDESTRI AN SIMULATION Fluid dynamics models

20 HISTORY OF PEDESTRI AN SIMULATION Grid based systems

21 HISTORY OF PEDESTRI AN SIMULATION Continuous space systems

22 HISTORY OF PEDESTRI AN SIMULATION Film and Game Industry Tools

23 HISTORY OF PEDESTRI AN SIMULATION 3D modelling environments

24 HISTORY OF PEDESTRI AN SIMULATION BIM enabled simulation

25 FUTURE OF PEDESTRI AN SIMULATION Industry next steps AUTOMATION MIXED REALITY CONTEXTUALISATION

26 Case Study Venues

27 CASE STUDY Venues and Cultural Centres Entry should be easy. The art should be hard.

28 CASE STUDY Venues and Cultural Centres

29 CASE STUDY Venues and Cultural Centres

30 CASE STUDY Venues and Cultural Centres Victoria & Albert Museum

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32 Case Study Stations

33 CASE STUDY Mass Transit Union Station, Toronto 80 million annual passengers by ,000 passengers in busiest 15 minutes Arup

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35 Union Pearson Group

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39 Union Pearson Group

40 Arup

41 Case Study Airports

42 CASE STUDY Airports Taiwan Taoyuan International Airport T3 26 GFA 540,000 sq. m. 45 Million Annual Passengers CECI/RSHP/Arup/FCA JV

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44 EXPERIENCE EXPECTATION = Passenger Satisfaction Passenger satisfaction is a key driver of modern transportation facilities. TECHNOLOGY INDUSTRY STRATEGY INFRASTRUCTURE R E G U L A T O R Y E N V I R O N M E N T

45 CECI/RSHP/Arup/FCA JV

46 CECI/RSHP/Arup/FCA JV

47 WHAT IS SIMULATION USED FOR IN AIRPORTS? Space Allocation DEMAND INPUT PROCESSING FACILI TY LEVEL OF SERVICE OUTPUT

48 LEVEL OF SERVICE IATA ADRM 10 Level of Service (LOS) guidelines for airport terminal facilities Passenger Terminal Processor SPACE STANDARDS FOR WAITING AREAS (m 2 /pax) Over design Optimum Suboptimum Check-in Self Service Boarding Pass/Tagging > <1.3 Bag Drop Desk (queue width m) > <1.3 Check-in Desk (queue width m) > <1.3 Security Checkpoint (queue width 1.2m) > <1 Emigration (Passport Control) (queue width 1.2m) > <1 Immigration (Passport Control) (queue width 1.2m) > < 1 Baggage Claim Area > <1.5 LOS Desired Wait Time (in minutes) Over design Optimum Suboptimum Check-In Economy < > 20 Check-In Business Class < > 5 Passport Control Inbound < > 10 Passport Control Outbound < > 10 Baggage Claim < > 25 Security < > 10

49 CECI/RSHP/Arup/FCA JV

50 SIMULATION PARAMETERS Demand PASSENGERS BAGS AIRCRAFT 50

51 SIMULATION PARAMETERS Demand PASSENGERS BAGS AIRCRAFT 00:00 02:00 04:00 06:00 08:00 10:00 12:00 14:00 16:00 18:00 20:00 22:00 00:00

52 SIMULATION PARAMETERS Passenger Type Process simulation requires explicit determination of a passenger s key characteristics. TRUSTED TRAVELLER SPECIAL NEEDS BAGS PASSPORT GROUPS TRAVEL TYPE CHECK- IN T E R T I A R Y S E C O N D AR Y FREQUENT FLYER TICKET P R I M A R Y

53 CECI/RSHP/Arup/FCA JV

54 CECI/RSHP/Arup/FCA JV

55 SIMULATION Sample Process DEPARTURE Yes Airport No Check-in? 12.5% 30% 30% 27.5% Kiosk Online ITCI Success or not 20% rejected Success No: 10% bags? Yes: 90% Yes: 90% bags? No: 10% Conventional BagDrop Boarding Card Check

56 CECI/RSHP/Arup/FCA JV

57 CECI/RSHP/Arup/FCA JV

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59 SIMULATION Limitations GIGO DATA INTENSIVE INTEPRETATION

60 SIMULATION Design Outcomes STAKEHOLDERS Effective master planning exercise Remove doubt from decision making OPERATOR Productivity gains through responsive design Solutions that safeguard capital project performance USER Experiences that delight and engage occupants Spaces responsive to user needs

61 PEDESTRI AN PLANNING Summary INSIGHTS STRATEGY USER CENTRIC DESIGN

62 Thank you Aarshabh Misra, P. Eng. Lachlan Miles Pedestrian planning and simulation