Digital Urban Simulation : Documentation of the Teaching Results from the Autumn Semester 2015

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Proposal 3 Proposal 3 Proposal 3 Choice Choice Ch. 18 Ch. 41 Ch. 75 Ch. 18 Ch. 23 Ch. 41 Ch. 75 Ch. 23 Ch. 166 Ch. 153 Ch. 166 Ch. 153 Ch. 0 Ch. 36 Ch. 72 Ch. 57 Ch. 0 Ch. 36 Ch. 72 Ch. 91 Ch. 118 Ch. 57 Ch. 57 Ch. 76 Ch. 91 Ch. 118 Ch. 57 Ch. 76 Ch. 53 Ch. 50 Ch. 53 Ch. 50 Ch. 51 Ch. 51 Ch. 46 Ch. 27 Ch. 49 Ch. 46 Ch. 27 Ch. 49 Ch. 5 Ch. 5 Ch. 5 Ch. 5 Ch. 51 Ch. 51 Ch. 0 Ch. 0 Integration Integration Int. 0.60 Int. 0.90 Int. 0.93 Int. 0.60 Int. 0.51 Int. 0.90 Int. 0.93 Int. 0.51 Int. 1.25 Int. 1.18 Int. 1.25 Int. 1.18 Int. 0.45 Int. 0.71 Int. 0.78 Int. 0.71 Int. 0.45 Int. 0.71 Int. 0.78 Int. 1.02 Int. 1.15 Int. 0.71 Int. 0.91 Int. 0.71 Int. 1.02 Int. 1.15 Int. 0.91 Int. 0.71 Int. 0.93 Int. 0.93 Int. 0.90 Int. 0.90 Int. 0.87 Int. 0.87 Int. 0.92 Int. 1.19 Int. 0.92 Int. 0.92 Int. 1.19 Int. 0.92 Int. 0.87 Int. 0.87 Int. 1.11 Int. 1.11 Int. 0.87 Int. 0.87 Int. 0.75 Int. 0.75 the front s the front ess. There ess. There sdirect the sdirect the xhibition. xhibition. The addition of second staircase is the result of trying to not only The addition open The more addition of a second options of for a second staircase the user staircase is the to move is result through the result of trying the of building, trying to not to only but open also to not more have only options open better more for the distribution options user to for move of attention the through user to towards move the building, through but the back. also to However, the have building, a better there is still but distribution desire also to even have of attention the a towards the back. choice better number distribution between of However, there is still a desire to even the choice number between the galleries, attention as towards well as generate the back. the However, highest there choice is still number a desire in the the galleries, as well as generate the highest choice number in the transition to even spaces the choice in order number to give between sense of the privacy galleries, while as looking well transition spaces in order to give a sense of privacy while looking at the as art.. generate the highest choice number in the transition at the spaces art.. in order to give a sense of privacy while looking at the art.. 6/8 6/8 18 New Methods in Urban Analysis and Simulation | Final project documentation Chair of Information iA Architecture
Final Final proposal proposal Choice Choice Final proposal Ch. 35 Ch. 35 Ch. 29 Ch. 29 Ch. 41 Ch. 41 Ch. 48 Ch. 48 Ch. 105 Ch. 105 Ch. 81 Ch. 81 Ch. 88 Ch. 88 Ch. 152 Ch. 152 Ch. 69 Ch. 69 Ch. 0 Ch. 0 Ch. 107 Ch. 107 Ch. 126 Ch. 126 Ch. 167 Ch. 167 Ch. 0 Ch. 0 Ch. 128 Ch. 128 Ch. 113 Ch. 113 Ch. 85 Ch. 85 Ch. 82 Ch. 82 Ch. 60 Ch. 23 Ch. 60 Ch. 113 Ch. 23 Ch. 113 Ch. 6 Ch. 6 Ch. 5 Ch. 5 Ch. 41 Ch. 41 Ch. 0 Ch. 0 Integration Integration Int. 0.72 Int. 0.79 Int. 0.72 Int. 0.79 Int. 0.71 Int. 0.71 Int. 1.00 Int. 1.00 Int. 1.20 Int. 0.87 Int. 1.20 Int. 0.87 Int. 1.06 Int. 1.06 Int. 1.12 Int. 0.63 Int. 1.12 Int. 0.63 Ìnt. 0.96 Ìnt. 0.96 Int. 0.71 Int. 0.70 Int. 0.71 Int. 0.86 Int. 0.70 Int. 0.86 Int. 0.81 Int. 0.81 Int. 0.63 Int. 0.63 Int. 0.82 Int. 0.82 Int. 0.67 Int. 0.67 Int. 0.93 Int. 0.93 Int. 0.92 Int. 0.92 Int. 0.60 Int. 0.60 Int. 0.95 Int. 0.95 Int. 1.12 Int. 1.12 Int. 0.98 Int. 0.98 Int. 0.73 Int. 0.73 Convex Convex a Through Through almost almost a galleries, galleries, ment ment in in t is is able able to to one one in in th th The The only only into into sma sma ing. ing. Neve Neve tor tor is is loc loc The The solut solut lift. lift. Int. 0.55 Int. 0.55 New New Methods Methods in in Urban Urban Analysis Analysis and and Simulation Simulation | Impressionist Impressionist museum museum at at Mythenquai Mythenquai New Methods in Urban Analysis and Simulation | Final project documentation 19
Page 1: Documentation of the teaching resul
Page 5 and 6: Course Description and Program DIGI
Page 7: Zurich - Historic City & City Block
Page 10 and 11: Summary Impressionist museum at Myt
Page 12 and 13: Segment Segment analysis: analysis:
Page 14 and 15: In A p a M w b T w la o w Insovists
Page 16 and 17: In In C Proposal 1 Proposal 1 Choic
Page 20 and 21: Ground Floor First Floor G r o u n
Page 22 and 23: East elevation South elevation West
Page 25 and 26: Limmat Loop Student: Alexandra Meuc
Page 27 and 28: ium for the public brings additiona
Page 29 and 30: New Proposal: Convex Map - Integrat
Page 31 and 32: Current Situation: Convex Map - Cho
Page 33 and 34: Current Situation: Axial Map - Inte
Page 35 and 36: Current Situation: Axial Map - Choi
Page 37 and 38: Current Situation: Isovist Map - Is
Page 39 and 40: Current Situation: Isovist Map - Mi
Page 41: General For Comments: the shadow an
Page 44 and 45: Introduction: Parks are very import
Page 46 and 47: Digital Urban Simulation HS2015
Page 52: Digital Urban Simulation HS2015
Page 56 and 57: Hochschulgebiet Zentrum - Strategy
Page 58 and 59: In wa an an de wa Summary The ETH,
Page 60 and 61: Integration - Status Quo (Figure 4)
Page 62 and 63: Choice - Status Quo (Figure 7) Choi
Page 64 and 65: Choice Hochschulgebiet Zentrum - St
Page 66 and 67: Integration - Without Tram Stations
Page 68 and 69:
Choice Secenario Choice Scenario Ba
Page 70 and 71:
Digital Urban Simulation | Name of
Page 72 and 73:
PV Afte and floo the con To b by t
Page 74 and 75:
Optimization Cluster 01 - pv / V =
Page 76 and 77:
Optimization Cluster 01 - pv / V =
Page 78 and 79:
ion ite ept are ion to gs ay tire a
Page 80 and 81:
Optimization Components Optimizatio
Page 83 and 84:
Bahnhof Stadelhofen Student: Natali
Page 85 and 86:
Digital Urban Simulation | Bahnhof
Page 87 and 88:
-2 now -2 project 3 / 13 New Method
Page 89 and 90:
Analysis 2 (City level / axial map
Page 91 and 92:
Analysis 3 (City level / visibility
Page 93 and 94:
Analysis 4 (City level/ convex map
Page 95 and 96:
Analysis 5 (Building level GF proje
Page 97 and 98:
vel -2 now Analysis / convex 9 map
Page 99 and 100:
Analysis 13 (City level / shadow ra
Page 101 and 102:
Analysis 14 (City level / solar rad
Page 105 and 106:
Zurich - Historic City & City Block
Page 107 and 108:
Zoom in: Zurich, Historic City Zoom
Page 109 and 110:
Isovist Maximal Radius Radius Analy
Page 111 and 112:
Zurich, Idaplatz, Visual Connectivi
Page 113 and 114:
Area [m²] Perimeter [m] 40000 3440
Page 115:
Idastrasse Idaplatz-Mitte Idaplatz-
Page 118 and 119:
Optimization of agriculture in an u
Page 120 and 121:
2 Making a threshold at a certain l
Page 122 and 123:
Gala and case 6 Building the greenh
Page 124 and 125:
Conclusions: Choosing where to put
Page 127 and 128:
A school of Cambodia Student: Stép
Page 129 and 130:
Motivation: The important climatic
Page 131 and 132:
t). Isovist area, after Isovist are
Page 133 and 134:
Axial map - choice, after the erlic
Page 135 and 136:
New Methods in Urban Analysis and S
Page 137 and 138:
New Methods in Urban Analysis and S
Page 141 and 142:
Olympic Legacy Student: Thorben Wes
Page 143 and 144:
Motivation: alf dy Motivation: Hamb
Page 145 and 146:
Current Situation In the Integratio
Page 147 and 148:
Acquisition of Data I Acquisition c
Page 149 and 150:
Integration Analysis The potential
Page 151 and 152:
Integration Analysis The proposal h
Page 153 and 154:
Choice Analysis The coice analysis
Page 155 and 156:
Isovists Area - Olympic site Lookin
Page 157 and 158:
Isovists Compactness - Olympic site
Page 161 and 162:
Uster 2035 Student: Vincent Hischie
Page 163 and 164:
Motivation: As described in the sum
Page 165 and 166:
5000m Integration, Radius Radius 50
Page 167 and 168:
is.uster.ch 695750 695750 To obtain
Page 169 and 170:
isting street isting street Integra
Page 171 and 172:
IMAGE 10m e The resulting image sho
Page 173 and 174:
Conclusion: Angular Segment Analysi
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Digital Urban Simulation : Documentation of the Teaching Results from the Autumn Semester 2015

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