Interactions between actors involved in planning and design decision processes Prof.dr.ir. B. de Vries - PowerPoint PPT Presentation

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Interactions between actors involved in planning and design decision processes Prof.dr.ir. B. de Vries

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Title: Interactions between actors involved in planning and design decision processes Prof.dr.ir. B. de Vries


1
Interactions between actors involved in planning
and design decision processesProf.dr.ir. B. de
Vries
2
Actor roles
  • Actors Researcher City
  • Actors Pedestrian City
  • Actors Designer City

3
Interactions between Researcher and City
  • B. de Vries
  • A. Tan

4
Research Project
  • To assess the reliability and validity of
    interactive computer experiments, based on
    virtual reality systems, in the context of
    measuring activity-scheduling behavior
  • Observed travel patterns are the result of
    underlying activity scheduling decision processes

5
.in other words
  • Measure how accurate individuals are able to
    recall and retrieve every day memories, and in
    particular, data about the travel behavior
  • In the new media virtual reality

6
Research Design
  • Compare the existing methods of data collection
    (diaries / questionnaires) against a benchmark
    (reality)
  • Compare the new methods of data collection
    (virtual reality experiments) against a benchmark
    (reality)
  • Compare accuracy levels between the above methods

7
The Process - 1
  • The process consists of three parts.
  • The first part entails recording reality
    benchmark
  • the Investigator observes a Respondent carry out
    his/her activities at a distance without
    detection
  • The second part requires the same Respondent to
    fill out a Questionnaire,

8
The Process - 2
  • The third part involves travel in a virtual
    environment that mimics the Schedule of the
    Subject of the day and period that s/he was
    observed

9
Tasks in Virtual Travel
  • A Respondent will be requested to recall and
    retrieve information about the schedule that was
    carried out during the period previously recorded
    by the Investigator
  • The subject will be requested to provide
    information about the nature of each activity and
    in the sequence as carried out.

10
Choice of VR Technology
  • Text based worlds
  • 3D Model
  • Panoramas

11
Making of the Stereo Panoramas
  • Rotating double cameras fitted with fisheye lens
  • Retouching
  • Stitching
  • Stereo correction

12
Data Collection
13
Data Collection
14
Data Collection
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Data Collection
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Data Collection
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Data Collection
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Data Collection
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Data Collection
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Data Collection
21
Sampled Groups
Type I Type II
(a) Followed (Benchmark) (b) Questionnaire (c) Virtual Travel (d) Followed (Benchmark) (e) Virtual Travel (f) Questionnaire
Comparison 1 (a) (b) 2 (a) (c) 3 (a) (b) (c) Comparison 4 (d) (e) 5 (d) (f) 6 (d) (e) (f)
22
Data Analysis
  • Ongoing
  • Some preliminary observations of PAPI versus
    Observed
  • gt50 of respondents report less number of
    activities than observed (benchmark)
  • 2 report conduct of activities different from
    that of observed
  • 50 of activity duration are over reported
  • 50 of travel time is under reported

23
Interactions between Pedestrian and City
  • B. de Vries
  • J. Dijkstra

24
  • Architects and urban planners are often faced
    with the problem to assess how their design or
    planning decisions will affect the behavior of
    individuals.

Introduction Motivation Network model Multi-agent
model Simulation model Discussion
  • One way of addressing this problem is the use of
    models simulating the navigation of users in
    buildings and urban environments.

A Multi-Agent System based on Cellular Automata
25
  • Develop a model how pedestrian moves in a built
    and/or urban environment.
  • Pedestrians are represented by agents (actors).
  • The cellular automata model is used to simulate
    their behavior across the network.

Introduction Motivation Network model Multi-agent
model Simulation model Discussion
  • Multi agent technology based on cellular automata
    can be used to develop a model how actors move
    around in a 2D or 3D environment. The 3D
    environment is a virtual reality based
    environment design.
  • A simulation model would allow the designer to
    assess how design decisions influence pedestrian
    activity/movement and hence performance
    indicators.

26
  • Important issues
  • Actors navigate in a virtual built/urban
    environment, each with their own behavior,
    beliefs and intentions
  • They perceive their environment and show some
    behavior according certain rules
  • Practical experience from visits in the past
  • Activity agenda

Introduction Motivation Network model Multi-agent
model Simulation model Discussion
  • The simulation model, as a decision support tool
    could be very useful to apply possible
    modifications to the design concept - AMANDA

27
The network is the three-dimensional cellular
automata model representation of a state at a
certain time.
v 2 cells / ?t
28
Agent Model
Introduction Motivation Network model Multi-agent
model Simulation model Discussion
29
User Agent
Introduction Motivation Network model Multi-agent
model Simulation model Discussion
Define an user-agent as U lt R S gt, where
  • R is finite set of role identifiers actor,
    subject
  • S represents the scenario each user-agent i
    possesses and includes
  • Personal characteristics
  • Agenda
  • Behavioral principles
  • Cognitive map
  • Time budget

30
Point of Departure
Introduction Motivation Network model Multi-agent
model Simulation model Discussion
  • Design of a simulation experiment of pedestrian
    movement
  • Considering a (T-junction) walkway where
    pedestrians will be randomly created at one of
    the entrances.

31
network grid and decision points
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Movement rules
Introduction Motivation Network model Multi-agent
model Simulation model Discussion
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Introduction Motivation Network model Multi-agent
model Simulation model Discussion
36
Introduction Motivation Network model Multi-agent
model Simulation model Discussion
37
Introduction Motivation Network model Multi-agent
model Simulation model Discussion
For example We will get more insight into the
influence that store layouts have on consumer
circulation patterns and shopping behavior in
retail environments.
38
Interactions between Designer and City
  • B. de Vries
  • V. Tabak

39
Mass Modeling on the Urban Scale
  • Relevance
  • The system
  • DDDoolz
  • VISTA

40
Traditional Sketch Scale Model
  • Strengths
  • Quick
  • No restrictions
  • Simple
  • Abstract
  • Weaknesses
  • Inaccurate
  • Error prone
  • Chaotic
  • Redundancy

41
Computers in the early design stage
  • Strength
  • Visualisation and Communication
  • Weakness
  • Too accurate and too complex

42
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43
Scale
44
DDDoolz
45
Basic Principle
  • Drag and Copy

46
Edge Drag
  • Extrude
  • Intrude

47
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48
VISTA
49
Objects
  • Block Basic shape with a specific function.

50
Manipulations
  • Move Select object and transfer.
  • Stretch Select object and extend in one
    direction.
  • Rotate Select object and rotate around one
    axis
  • Delete Click on waste bastket of selected
    object.

51
Object handles
52
Experiences
  • Almost as intuitive as paper and pencil
  • Increased control over planning requirements

53
Workshop
54
Agenda
  • Introduction
  • Discussion
  • Instruction
  • Assignment
  • Discussion and Conclusion

55
Position
  1. Are Pen and Paper unbeatable ?
  2. What makes a creative tool ?

56
Discussion
57
Instruction
  • DDDoolz
  • VisTa

58
Assignment
  • Choose one design tool
  • Determine design task
  • Determine performances
  • Design
  • Tool
  • Execute task
  • With traditional means (3/4 hour)
  • With computer tool (3/4 hour)
  • Draw conclusions on performances

59
DiscussionandConclusion
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