Thesis Presentation | Geoffrey Little

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GENERATIVE AND EVOLUTIONARY

WORKFLOWS

IN THE PREDESIGN PROCESS

A GUANGZHOU CASE STUDY

research

TRADITIONAL DESIGN PROCESS

design + documentation pricing construction

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MUD 606: Master’s Research Studio

GENERATIVE WORKFLOWS IN THE DESIGN PROCESS

research design + documentation pricing construction

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MUD 606: Master’s Research Studio

GENERATIVE DESIGN SOLUTION WORKFLOW

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MUD 606: Master’s Research Studio

DESIGN PRINCIPLES

CONNECTIVITY

Create connections to enhance current network

RESPONSE

Building, Canopy, Site Design adhere to a set of objectives

EQUITY

Programmable space is defined by the needs of the community

ADAPTATION

Site is able to adapt to a changing environment

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+ + +

DESIGN OBJECTIVES

PRIMARY

1. Urban Density (FAR)

2. Green Space Area (GAR)

3. Daylight Potential

4. Construction Cost

SECONDARY

1. Heat Stress (UTCI)

2. Open Space Accessibility

3. View Access (Canal)

4. Shadow Impact

SITE DESIGN

1. Expand Street and Path Network

2. Expand Green Belt

3. Provide Safe Access to Green Spaces

4. Preserve Train Station Access

5. Preserve North and East Open Space

6. Revitalize West and South Boundaries

7. Connect Open Public Space

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+

DESIGN PROGRAM

Goal

The design intent is to generate a mixed-use waterfront development in Guangzhou, China that thoughtfully integrates density while balancing a wide variety of social, environmental, and economic indicators, setting a new benchmark for communityfocused, equitable, and adaptable urban living.

Objectives

• Urban Density (FAR)

• Green Space Area (GAR)

• Daylight Potential

• Construction Cost

• Heat Stress (UTCI)

• Open Space Accessibility

• View Access (Canal)

• Shadow Impact

Fitness

Criteria

Gene Pool

• Maximize Density

• Maximize Green Space Area

• Maximize Passive Energy

• Minimize Project Cost

• Minimize Uncomfortable Spaces

• Minimize Distance to Open Areas

• Maximize Canal Views

• Minimize Development Impact

• Street Network Configuration

• Dedicated Green Space Allocation

• Building Typology Distribution

• Footprint Size of Towers and Podiums

• Height Range of Towers and Podiums

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URBAN FORM GENERATION

VERTICAL STREETS

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URBAN FORM GENERATION

FIXED POINTS

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URBAN FORM GENERATION

MOVABLE INTERSECTIONS

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URBAN FORM GENERATION

HORIZONTAL STREETS

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URBAN FORM GENERATION

STREET NETWORK

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URBAN FORM GENERATION

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PARCELS

URBAN FORM GENERATION

DEDICATED GREEN PARCELS (1-3) & BUFFER

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URBAN FORM GENERATION

BUILDING TYPOLOGY 1 (10%-40%)

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URBAN FORM GENERATION

BUILDING TYPOLOGY 2 (10%-50%)

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URBAN FORM GENERATION

BUILDING TYPOLOGY 3 (REMAINING PARCELS)

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URBAN FORM GENERATION

BUILDING TYPOLOGY 1 FOOTPRINT (1225

m² – 1600 m²)

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URBAN FORM GENERATION

BUILDING TYPOLOGIES 2 & 3 FOOTPRINTS (900 m² –

1225 m²)

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URBAN FORM GENERATION

BUILDING PODIUM FOOTPRINTS (10 m – 25 m)

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URBAN FORM GENERATION

BUILDING TYPOLOGY 1 HEIGHT (175 m

– 250 m)

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URBAN FORM GENERATION

BUILDING TYPOLOGY 2 HEIGHT (75 m – 125 m)

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URBAN FORM GENERATION

BUILDING TYPOLOGY 3 HEIGHT (25 m – 50 m)

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URBAN FORM GENERATION

BUILDING TYPOLOGY 1 PODIUM HEIGHT (24

m – 40 m)

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URBAN FORM GENERATION

BUILDING TYPOLOGY 2 & 3 PODIUM HEIGHTS (8 m – 24 m)

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URBAN FORM GENERATION

PREDESIGN URBAN FORM EXAMPLE

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FAR : Floor Area Ratio

B : Total # of Buildings on the Site

GFAi : Gross Floor Area

Asite : Total Area of the Site (constant)

FLOOR AREA RATIO

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MAXIMIZE
������������ = ∑���� =1 ���� ���������������� �������������������� �������� (������������1 + ������������2 + ⋯ + ���������������� ) ��������������������
OBJECTIVE:
DENSITY

OBJECTIVE:

GREEN SPACE AREA

GAR : Green Area Ratio

G : Total # of Dedicated Green Parcels on the Site

R : Total # of Roofs

GPAi : Dedicated Green Parcel Area

GRAj : Green Roof Area

Asite : Total Area of the Site (constant)

5/1/2024
������������ = ∑���� =1 ���� ���������������� + (∑���� =1 ���� ���������������� ��������������������
MAXIMIZE

DP : Daylight Potential

HPdaylight : Daylight “Hit” Points

TPdaylight : Total Potential Daylight Points

5/1/2024
�������������������������������������� ≥ 3 × ������������������������ ��������������������������������������
OBJECTIVE: MAXIMIZE PASSIVE ENERGY �������� =

CC : Cost of Construction

B : Total # of Buildings

Hi : Building Height

GFAi : Gross Floor Area

CONSTRUCTION COST

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��������
OBJECTIVE: MINIMIZE PROJECT COST
= ����� =1 ���� 0.0809��������2 − 16.13�������� + 2062.6 × ����������������

ROUND ONE ANALYSIS

PRIMARY OBJECTIVES

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OBJECTIVE: MINIMIZE UNCOMFORTABLE SPACES

HS : Heat Stress

GP≥3 : Ground “Points” Representing UTCI

GPtotal : Total Ground “Points” Tested

�������� = ��������≥3 ���� ������������������������
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OBJECTIVE: MINIMIZE DISTANCE TO OPEN AREAS

OSA : Open Space Accessibility

G : Total # of Dedicated Green Parcels on the Site

Dij : Total Distance from Dedicated Starting Point to Dedicated Green Parcel “j”

������������ = ∑���� =1 2 ∑���� =1 ���� ������������ 2����
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OBJECTIVE: MAXIMIZE CANAL VIEWS

VIEW INTEREST

VI : View Interest

HPview : View “Hit” Points

TPview : Total Potential “View” Points

�������� = ������������������������ ≥ 1 × ������������������������ ������������������������
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OBJECTIVE: MINIMIZE DEVELOPMENT IMPACT

SHADOW IMPACT

SI : Shadow Impact

ADHdeveloped : Average Daylight

Hours with Development Impact

ADHundeveloped : Average Daylight

Hours without Development Impact

�������� = ������������������������������������������������ − �������������������������������������������������������� ��������������������������������������������������������
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ROUND TWO ANALYSIS

SECONDARY OBJECTIVES

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WALLACEI ALGORITHM RESULTS

ANALYTICAL GRAPHS

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WALLACEI ALGORITHM RESULTS

PARALLEL COORDINATE PLOT

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WALLACEI ALGORITHM RESULTS

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PARETO FRONT SOLUTIONS ON PCP

WALLACEI ALGORITHM RESULTS

K-MEANS CLUSTERING OF PARETO FRONT ON PCP

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WALLACEI ALGORITHM RESULTS

OBJECTIVE SPACE

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X – Axis FAR Y – Axis GAR Z – Axis Daylight Green (fittest) – Red (least fit) Cost

WALLACEI ALGORITHM RESULTS

PARETO FRONT IN OBJECTIVE SPACE

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X – Axis FAR Y – Axis GAR Z – Axis Daylight Green (fittest) – Red (least fit) Cost

WALLACEI ALGORITHM RESULTS

K-MEANS CLUSTERING IN OBJECTIVE SPACE

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ROUND ONE SELECTION

OPTIMAL FAR, GAR, DAYLIGHT POTENTIAL

Gen. 66|Ind. 02

FAR: 7.86

Rank: 1 / 7500

GAR: 30%

Rank: 5256 / 7500

Daylight: 36%

Rank: 5102 / 7500

Cost: 1218M

Rank: 7418 / 7500

Gen. 81|Ind. 03

FAR: 5.77

Rank: 3073 / 7500

GAR: 45%

Rank: 1 / 7500

Daylight: 37%

Rank: 4874 / 7500

Cost: 850M

Rank: 5360 / 7500

Gen. 53|Ind. 02

FAR: 3.75

Rank: 6517 / 7500

GAR: 36%

Rank: 2551 / 7500

Daylight: 55%

Rank: 1 / 7500

Cost: 193M

Rank: 764 / 7500

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ROUND ONE SELECTION

OPTIMAL COST, RELATIVE DIFFERENCE, AVERAGE

Gen. 70|Ind. 06

FAR: 3.04

Rank: 7322 / 7500

GAR: 37%

Rank: 1901 / 7500

Daylight: 37%

Rank: 4697 / 7500

Cost: 150M

Rank: 1 / 7500

Gen. 68|Ind. 63

FAR: 5.33

Rank: 3741 / 7500

GAR: 32%

Rank: 4229 / 7500

Daylight: 39%

Rank: 3802 / 7500

Cost: 714M

Rank: 4171 / 7500

Gen. 53|Ind. 02

FAR: 3.75

Rank: 6517 / 7500

GAR: 36%

Rank: 2551 / 7500

Daylight: 55%

Rank: 1 / 7500

Cost: 193M

Rank: 764 / 7500

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ROUND ONE SELECTION

GENERATIONS FOR SECONDARY ANALYSIS

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FAR (1 Generation) GAR (1 Generation) Daylight (1 Generation) Cost (1 Generation) Rel. Difference (1 Generation) Average (1 Generation) K-Means
of Pareto Front (20 Generations)
Clustering

ROUND ONE SELECTION

ROUND ONE SELECTED SOLUTIONS

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ROUND TWO SELECTION

5/1/2024 76 MUD 606: Master’s Research Studio ROUND
Gen.|Ind. FAR GAR Daylight Cost UTCI GSA View Shadow 04|48 5.33 0.38 0.38 647.25 0.38 250.79 0.38 0.03 20|17 5.69 0.29 0.41 671.57 0.34 153.8 0.43 0.03 20|66 6.91 0.36 0.39 1127.39 0.37 262.92 0.4 0.06 22|52 6.3 0.4 0.43 886.4 0.37 277.82 0.45 0.05 24|61 3.97 0.39 0.38 268.44 0.38 318.16 0.45 0.04 25|72 4.74 0.29 0.38 341.41 0.36 160.82 0.41 0.03 30|35 6.33 0.29 0.32 773.57 0.36 224.9 0.35 0.03 37|67 6.47 0.36 0.46 1042.01 0.37 271.77 0.48 0.05 39|66 4.7 0.25 0.43 337.93 0.37 377.99 0.37 0.03 41|60 5.05 0.38 0.47 603.72 0.37 229.97 0.47 0.02 42|54 7.36 0.3 0.36 1077.61 0.36 153.29 0.37 0.07 53|02 3.75 0.36 0.55 193.17 0.38 270.62 0.44 0.01 59|68 6.44 0.28 0.39 820.95 0.36 153.63 0.36 0.05 61|21 5.99 0.44 0.39 809.39 0.37 328.38 0.48 0.03 66|02 7.86 0.3 0.36 1218.12 0.36 236.25 0.43 0.07 68|63 5.33 0.32 0.39 714.48 0.36 160.05 0.39 0.04 70|06 3.04 0.37 0.37 150.27 0.38 225.18 0.43 0.02 74|59 3.49 0.39 0.41 180.97 0.38 322.85 0.44 0.03 76|12 4.95 0.41 0.35 573.72 0.37 278.78 0.36 0.03 79|57 4.11 0.34 0.46 268.52 0.38 272.61 0.47 0.02 81|03 5.77 0.45 0.37 850.7 0.37 329.49 0.42 0.06 81|71 3.79 0.36 0.51 197.58 0.38 269.92 0.44 0.02 96|41 6.85 0.28 0.48 985.9 0.36 364.51 0.46 0.05 98|41 7.35 0.3 0.4 1114.21 0.35 236.25 0.38 0.07 99|73 5.93 0.41 0.27 702.67 0.38 320.42 0.38 0.04
Average Median Minimum Maximum FAR 5.43 5.51 3.04 7.86 GAR 0.35 0.36 0.25 0.45 Daylight 0.41 0.39 0.27 0.55 Cost 644.27 687.12 150.27 1218.12 UTCI 0.37 0.37 0.34 0.38 GSA 258.53 270.27 153.29 377.99 View 0.42 0.43 0.35 0.48 Shadow 0.04 0.03 0.01 0.07 Round One Round Two
ONE & ROUND TWO PERFORMANCE OBJECTIVES & STATISTICS
Round Two Performance Objectives Round One Performance Objectives

ROUND TWO SELECTION

SCORING FOR ROUND ONE & ROUND TWO PERFORMANCE OBJECTIVES

Round One Performance Objectives

Round Two Performance Objectives

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Average 5.43 0.35 0.41 644.27 0.37 258.53 0.42 0.04 Gen.|Ind. FAR GAR Daylight Cost UTCI GSA View Shadow Points 41|60 5.05 0.38 0.47 603.72 0.37 229.97 0.47 0.02 6 20|17 5.69 0.29 0.41 671.57 0.34 153.8 0.43 0.03 5 53|02 3.75 0.36 0.55 193.17 0.38 270.62 0.44 0.01 5 70|06 3.04 0.37 0.37 150.27 0.38 225.18 0.43 0.02 5 81|71 3.79 0.36 0.51 197.58 0.38 269.92 0.44 0.02 5 22|52 6.3 0.4 0.43 886.4 0.37 277.82 0.45 0.05 4 25|72 4.74 0.29 0.38 341.41 0.36 160.82 0.41 0.03 4 30|35 6.33 0.29 0.32 773.57 0.36 224.9 0.35 0.03 4 37|67 6.47 0.36 0.46 1042.01 0.37 271.77 0.48 0.05 4 39|66 4.7 0.25 0.43 337.93 0.37 377.99 0.37 0.03 4 61|21 5.99 0.44 0.39 809.39 0.37 328.38 0.48 0.03 4 66|02 7.86 0.3 0.36 1218.12 0.36 236.25 0.43 0.07 4 74|59 3.49 0.39 0.41 180.97 0.38 322.85 0.44 0.03 4 79|57 4.11 0.34 0.46 268.52 0.38 272.61 0.47 0.02 4 96|41 6.85 0.28 0.48 985.9 0.36 364.51 0.46 0.05 4 04|48 5.33 0.38 0.38 647.25 0.38 250.79 0.38 0.03 3 20|66 6.91 0.36 0.39 1127.39 0.37 262.92 0.4 0.06 3 24|61 3.97 0.39 0.38 268.44 0.38 318.16 0.45 0.04 3 42|54 7.36 0.3 0.36 1077.61 0.36 153.29 0.37 0.07 3 59|68 6.44 0.28 0.39 820.95 0.36 153.63 0.36 0.05 3 76|12 4.95 0.41 0.35 573.72 0.37 278.78 0.36 0.03 3 81|03 5.77 0.45 0.37 850.7 0.37 329.49 0.42 0.06 3 98|41 7.35 0.3 0.4 1114.21 0.35 236.25 0.38 0.07 3 99|73 5.93 0.41 0.27 702.67 0.38 320.42 0.38 0.04 3 68|63 5.33 0.32 0.39 714.48 0.36 160.05 0.39 0.04 2

FINAL 3 SELECTIONS

DATA & SPATIAL ANALYSIS

Gen. 41|Ind. 60

FAR: 5.05

GAR: 0.38 Daylight: 0.47

UTCI: 0.37

GSA: 229.97 View: 0.47 Shadow: 0.02

Dedicated Green Spaces - 3 Building Typology

Gen. 20|Ind. 17

FAR: 5.69 GAR: 0.29

3 Green Spaces located in the NW, NE, and SE corners of the site, 2 of which are accessible

Building Typology allocation is dominated by Low-Rise towers, which are scattered around the boundary of the site

671.57 UTCI: 0.34

153.80

0.43

Gen. 53|Ind. 02

Dedicated Green Spaces - 1

1 Green Space located in the NE corner of the site, highly accessible but low allocation

Building Typology allocation is uniform across the 3 typologies, with taller towers dominating the outside boundary of the site

Dedicated Green Spaces - 3

0.36

0.03 FAR: 3.75

0.55

193.17 UTCI: 0.38

270.62 View: 0.44 Shadow: 0.01

3 Green Spaces located on the West side of the site, with one on the NW and SW corners respectively

Building Typology allocation heavily favors the Low-Rise towers, with a Mid and a High-Rise towers on the East boundary of the site

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Cost: 603.72
Cost:
GSA:
Daylight:
Cost:
Daylight: 0.41
View:
Shadow:
GAR:
GSA:
Building
Building
3
6
1 - 2
Typology 2 - 1
Typology
-
Building
Building
Building Typology 1 - 2
Typology 2 - 4
Typology 3 - 5
Typology 1 -
Building Typology 2 - 1 Building
3
7
Building
1
Typology
-

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