Perception Aspects in Underground Spaces using ... - TOI - TU Delft

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ContentsChapter 1 Introduction 11.1. Background and research problem . . . . . . . . . . . . . . . . . . . 11.2. Research objectives . . . . . . . . . . . . . . . . . . . . . . . . . . 31.3. Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4. Outline of the thesis . . . . . . . . . . . . . . . . . . . . . . . . . . 6Chapter 2 From spatial planing to perception of space 92.1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.2. Underground space and multiple space usage . . . . . . . . . . . . . 92.3. ICT development and influence on spatial planning . . . . . . . . . . 122.4. Architectural design data and the role of ICT in design . . . . . . . . 142.5. Architects and the end users . . . . . . . . . . . . . . . . . . . . . . 152.6. Existing models for public safety. . . . . . . . . . . . . . . . . . . . 182.7. Human being, built environment and social context . . . . . . . . . . 192.8. Environmental psychology and sociology . . . . . . . . . . . . . . 20Chapter 3 Identification of the model parameters 253.1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.2. The variables for an assessment of spatial experience -Research variables . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.2.1. Dependent variables: determinants of comfort and safety . . . 263.2.2. Independent variables: spatial characteristics and context . . 363.2.3. Intervening variables: individual characteristics . . . . . . . 433.3. The variables for an assessment of spatial experience -Procedural variables . . . . . . . . . . . . . . . . . . . . . . . . . . 443.3.1. Presentation and response method . . . . . . . . . . . . . . 443.3.2. Reliability and validity . . . . . . . . . . . . . . . . . . . . 453.4. Conceptual framework . . . . . . . . . . . . . . . . . . . . . . . . 46Chapter 4 Theoretical background on soft computing 474.1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474.2. Traditional methods for data analysis . . . . . . . . . . . . . . . . . 47
Page 7: Appendix A - Questionnaire for Blaa
Page 10 and 11: aspects, and generally negative per
Page 12 and 13: many linguistic qualities as well a
Page 14 and 15: functions in the form of parallel i
Page 16 and 17: - 8 -
Page 18 and 19: for new territories only locally an
Page 20 and 21: change from one means of transport
Page 22 and 23: Information andCommunicationTechnol
Page 24 and 25: preferences and update this knowled
Page 26 and 27: The focus of this research is not o
Page 28 and 29: interplay of different aspects. Per
Page 30 and 31: esearch outside laboratories. This
Page 32 and 33: perception of spatial environment w
Page 34 and 35: esearch variablesprocedure variable
Page 36 and 37: frustration would appear. It is als
Page 38 and 39: lines” explains that hiding spots
Page 40 and 41: when lighting levels are at 5 lux o
Page 42 and 43: •=•=•=Clarity/spatial organiz
Page 44 and 45: 3.2.2. Independent Variables: Spati
Page 46 and 47: •=•=•=•=•=Construction/st
Page 48 and 49: Material and ColorFor all four sele
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6050male6050female403020very unsati
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is very often a difficult task, so
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non-linearity in a simple statistic
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can be provided (Figure 1). In a si
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Σ Σ Σoutputw (i,k)weightsTFTFhid
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Figure 7 illustrates that with an i
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networks or pruning, as explained i
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All the values in the expressions a
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a multidimensional space that provi
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Clustering and Orthogonal Least Squ
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presumably the essential advantage
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deliberations on existing informati
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- 68 -
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All case studies are projects that
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and 5). It also shows the possibili
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The entrances are quite spacious (F
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Figure 18, 19: Old situation (18) a
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Figure 26, 27: Blaak metro station
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•=Gift vouchers of about € 50 f
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5050404030302020Percentag10015 - 25
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60605050404030302020Percentage100la
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For Beurs, Blaak en Wilhelminaplein
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- 88 -
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using only the data of one station
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Figure 2: Test results for seven un
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Comparing results obtained in Figur
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Figure 7. Fig 7a (upper) validation
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computation:N1S(x)= S i( x)Ni=1wher
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Table 6: Hierarchical order of sens
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Table 10: hierarchical order of sen
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0.75ALL FOUR STATIONS0.8BLAAK/RIJSW
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Figure 16: Validation of model base
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attractive and only 5.5% not, while
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Table 13b: Beurs - Negative aspects
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6.4. Obtained results and interpret
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From spatial analysis it became evi
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Figure 28: Spot-light and backlight
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•=at platforms, artificial light
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Architects deal not only with new d
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systems. In respect to underground
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technology are possible as well. Th
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DEEL 2:Vraag 9:ASPECTEN VAN ATTRACT
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VERVOLG DEEL 5:FYSIOLOGISCHE ASPECT
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Figure 2. The response (shown with
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X2 =-1.0000 -1.0000 -1.0000 -1.0000
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Bouman, J. (1998). Quality of regul
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Haffey M.K.D. and Duffy A.H.B. (200
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Saltelli A., Chan K. and Scott E. M
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on an existing design. This implies
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In het architectonische ontwerpproc
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husband who knew when and how to re
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Durmisevic S., Ciftcioglu Ö. and S
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