Page 1

Mapping as Design

AAVS Seo ul 201 7 Social Algorithms 5.0 | Yonsei University AA VS Seoul 2017

Unit 2 - Aleksandar BURSAC & Soomeen HAHM

1


Mapping as Design AAVS Seoul 2017

Unit 2 - Aleksandar BURSAC & Soomeen HAHM

Soomeen Hahm

http: //soomeenhahm .com/ Flat 38, Vesage Court, 8a Leather Ln, London, UK, EC1N 7RE +44.75.9529.0322 s.hahm@soomeenhahm.com


PAPER STRUCTURE

The AAVS Seoul of 2017 WORKSHOP INTRODUCTION

G-Line 02.1 Site Analysis and and strategy 02.2 Data collection logic 02.3 Mapping the routes 02.3.1. Starting points 02.3.2. Ending points 02.4 Slope and speed analysis

1

01.1 AAVS Seoul 2017 - Social Algorithms 01.2 Unit 2 - Mapping as design 01.3 Tutors

2

3

4

5

output

DATA HARVESTING

DATA INPUT

READ DATA

GENERATE MAPS

RELATE MxD

DESIGN PROPOSAL

1. site visit

1. OSM / Open Street Map

1. ELK/ Grasshopper Plugin

1. determine criteria

1. create evaluation criteria

1. analyse the plan

> input information carefully

> export OSM file from OpenStreetMap

> keep the structure uniform

> sift through information

3. pixelize map

3. generate organisational schema

> particularly interesting juncture

> analyse output and look for errors

> assign closest value to each square

2. research assigned area 3. collect data

> amend existing information

> building height

> enrich existing information

> building occupancy/demographics > road width/use/type > road width/use/type

02.5. G-line Station design

> feed file into Grasshopper through ELK > geographically relate data

2. select relevant data > divide the location into squares

> use distributed resulting data to create maps

> use data per square to deform, transform, replace, shuffle etc. > cross reference data to create new criteria

2. relate criteria to design decision EXAMPLE

> set up existing pedestrian network

2. select characteristic area > most used passageway

3. develop design proposal

> generate new possible passageways > analyse newly created network

> relate pathway length/width/incline to a typology ramp/ stair/elevator

> generate an urban plan for the district’s new infrastructure

Groove top

03.1. Data harvesting 03.2. Site analysis 03.3. Rooftop height sorting 03.4 Users daily spacial shift 03.5 Rooftop design

CREDITS

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

5


AA VISITING SCHOOL SEOUL 2017 Social algorithms

The AA Visiting School Seoul is in the 5th year of the theme Social Algorithms. The course under this topic is to investigate urban issues from social and algorithmic point of view in order to open up an interesting discussion, exchange ideas, knowledge and methodology between different design approaches. The course offers a great opportunity for those who are interested in the topic of urban, city, architecture and design research who want to be involved in the discussion of experimental design thinking, innovative way of collaboration between design researches. As the course being held in the central area of Seoul – one of the most active megacities in the world – we will be looking at Seoul closely to be our test bed during the 9 days. Seoul, though one of the largest cities in the world, is at the same time modern and historical. This comes as a product of overlap between the tradition and rapid urban development in the 2nd half of 20th century. This interesting mixture and contrast is what gives this city its unique characteristics. As consequence, although technologically developed and highly urbanised, Seoul’s urban fabric and life-style heavily rely on human scale – call it the software of the urban – as its main shaping force. It is very interesting to examine how the software – human, community & social aspects of everyday life, rather than hardware of the city – built environment itself, drives the evolution of Seoul to such high degree.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

7


MAPPING AS DESIGN Unit 2

1. Agenda

2. Design Methodology & Tools

3. Learning Outcome & Deliverables

The aim of the workshop is to create a better understanding of where computational design can be situated with regards to urban planning and how advanced software tools can be used to shape and direct the designers thinking in the early stages of site evaluation.

Students will be using OSM files generated through OpenStreetMaps.

In practical terms the goal of the workshop is to create a design proposal through careful data manipulation and relating that data to specific design decisions.

The students will be expected to adopt a data driven approach to design. They will engage social problems of the site by collecting, encoding and analysing site-specific data. Through this process the students will learn how to instrumentalize data graphically in order to implicitly extract new knowledge about the site through information layering. The available information and subsequent discoveries made while writing/reading the graphic representation of data will give rise to a zoning/planning schema that will inform the design of the proposal itself.

Since the site itself does not contain a wealth of information in its current OSM package, the first goal is to have students enrich the existing database. This will be done by researching, collecting and harvesting data about the site through surveys, existing case studies, and interviews with locals. The careful selection of which data is important is directly connected to the project assignment (ie. additional information about pedestrian and motorway information, public space and other points of interest) which will be essential to generate a relevant database. The information will be encoded into generated maps that will visually represent the OSM data through Grasshopper.

A possible avenue that can be explored is a proposal for a new circulation infrastructure within the district that will increase overall connectivity of the walkable space on the site between various points that are deemed of interest (restaurants, shopping areas, tourist attractions, public service localities, etc.). Depending on the students’ interests and results in the earlier stages of the workshop this can be reoriented to a different possible proposal based on the output created in the 4th assignment of the mapping stage.

In this assignment the students will be encouraged to not only passively display the data in a colorcoded map, but also find new and exciting ways of graphically representing the available information in relation to a specific problem/observation they have made about the site. This can be done by cross-referencing and relating previously isolated data and observing the relationship they may have. Emerging consistencies as well as correlation and/or causation of data should give rise to a new understanding of the how and why the locale functions the way it does.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

9


TUTORS

SoomeenHahm Design is a London based design studio started its practice since 2011. The practice runs based on a design research which search for coherent local behaviors generating highly affected global outcome exploring the relationship between design process and the final product. The practice is interested in conducting parametric and algorithmic design research within multi-scale design agendas and seeks for design products actively engage and change in different time and environment which is highly controlled within intelligence of design, within systemic research through computation, robotic, structural engineering, sustainable engineering and parametric control systems.

Soomeen Hahm is the founder of the SoomeenHahm Design, an architectural designer and researcher based in London teaching in various universities and research programs.

She specialises in coding, digital simulations and 3D modelling in various software platforms. She has taught and lectured at numerous institutions in UK and internationally, teaching studios, workshops and short courses focusing on computational design. She tries to tackle the issue of algorithmic design paradigm in architecture across multiple scales, through collaboration and exchange of knowledge with other experts from the field. She is currently teaching at the Bartlett UCL and the Architectural Association while running her own practice.

Aleksandar Bursac is from Belgrade where he did his BArch and MArch with the Faculty of Architecture at the University of Belgrade. http: //soomeenhahm .com/ Flat 38, Vesage Court, 8a Leather Ln, London, UK, EC1N 7RE

He relocated to London in 2014 to pursue a degree at the AADRL which shaped his current interests and goals. These include data driven design, advanced simulation techniques and the exploration into the effects the current tecnhological paradigm has on design, architecture and everyday life. His work looks into the intersection and interaction between technology and design and the effects their development has on the both the users and the producers of space. He currently works at Zaha Hadid Architects in their London office.

+44.75.9529.0322

s.hahm@soomeenhahm.com

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

11


Sh Con 中文 한글 Con 한글 中文 中文 한글 Con 中文 한글

2

7

2

4

13

1

4

2

1

1

0flat

2

0 flat

2

2

3

0 fl at

3

4

2

2

2

0fla t

3

0 flat 0flat

2

2

2

3

2

3

2

2

t fla

2 3

3

0

2

2

32 3

3 3

22

3 3 3

2

2

3

2

3

3

2 3 3

3

3

3 3

3 3 3

3

m 251

4

2

3

2

22

3

2

3

3

2

0

2

3 1

1

t

3

2

2

4

3

3

2

2

4 2

fla

2

2

2

3

2

2

2

2

1 4

3

3

2

3

2

3

2

3

1

3 3 3

2

2

3

3 3

3

3

3

4

4

3

2

2

1

3

33

3

2 3 2 2 2 3

3

3 1

3 3

3

3 3

1

3

mp

ra 8

3

3

3

3

3

2

3

5

2

2

33 4

3

2 2

3

1

3

3

1

22 33

22

2

3

3 3

3

3

0flat

0flat

2

3

2 2 2

22

2

t fla

0

3

3

3

3

3

3

0flat 0 flat

3 3

2

2 2

2

2

2 2

3

3

2

2 3

3

3 3

1 1 2

0 fl at

3

3

3

2

2

2

2 2

3 2

22 2

2

2

2

2

2

3

2

3

3

2

2

2

22

2

2 3

2

4 2

3

2

3

3

3

2

4

0 flat

0 flat

3

2

2

2 3

2 2

3

3

3

3 3

3

3 3

3

22

4 2

3

12

2

3

0flat 2 0flat

3

at

3

2 3 0fl

3 t

2

fla

3

0

3

1

4

la 0 t fl at

3

0f

1 1

0fla t

3

2t 0fla

22

2

t

3

a 0 fl

t

fla

t

a 0fl

30

32

0

t

0f

la

t

0flat

t

fla

1

11

1

1

1

1

2

3

1

1

1

2 1

2

1

22

2

5

23

2

23

2

2

1

3

1

2 1

1 1

11

2

0

a 0fl

3 t

la

0f

1

t

1

1

1

3

1

0fl a

t 0fla

0flt at 0fla

2

3

flat

2

2

2

2

2

3

2

3

1

2

1

1

1 2

7

3

2

2

2

2

2

22

2

4

2

2 2

1

2 3

2

2

2

5

3

3

Con

3

2

1

1

RC9_area_656m2

22

Sch Re

1

Re

1

3

Re

RA8_area_71m2

한글 中文 Con Eng 한글 한글

한글 Re

2

2

3

中文 한글 Con 한글

Re

Con

Con

Re RB17_area_1560m2

Con Con

Re

Re Re

RD7_area_1107m2

Re

1

1 11

2

2 3

2

1

3

s

2

2

3

2

4

p

ir sta 25

at 0

fla

t

40

sp

ira

l 40spiral

0

fla

t t

0fla

3

Un

Re

RC12_area_309m2

m

3

2

2

2

2 3

2

t

2

한글

Re Con

Re

Con

Re Re

Re

中文

23

0 fl

fla t

3

Con

한글中文Eng

RC31_area_380m2

2

t

2

2

22

3

2

3

22

1

2

a 0fl

3

Re

2

5

flat

2

3

2

2

1

1

6

0

6

3

0fla

2

Re

Re

3

irs

0

한글 Re 한글

Re

RB3_area_6561m2

4

t 0fla

3

3

3

3

3

2

2

2

2

4

t

2

1 1

fla

22

2

0

3

3

1 4 21

5

t

22

2

t

2

2

1

1 1

1 3

2

2

2

2

0fla

0fla

2

3

2

3

2

2

1 1

2

2

2

2

2 1 3 2

3

3

2

m

249

24

2

2

2

4

4

1 1

11 1

6

1 1

2

3

2

t

0fla

12 22

2

2

1

1 1 1 1

t

4 2

1

sta 25

4

2

2

122m

t 0fla

lat

0f

4

2

2 at 1 0fl

2

1

2

2

1

1

1

3

2

3

0flat

3 3

3

4

2

2

22

22

2

1

2

12

2

3

2

3

2

fla

1

2

3 2

22

2

2

2

2

2

0

3

3

348m

1

1

1

3

2

22

2

42

42

22

1 1

2

5

1

t

2

3

2 2 0 fla3 0flat t

2

41

3

2 2

2

2

2

2

32

2

5

2

3

2

8

2 2 2

22 2

212

2

2

1

0fla

5

3

3 3 2

1

3

3

ramp

2p

8

2

2

32

2 2

22

2

2

2

3

14

2

2

4 2

2

22

2

1

11

25

irs sta

RB6_area_3302m2

한글中文Eng O RA20_area_89m2

1

Re

0 fl

한글Eng

1

fla

0

t t

0fl a

Con

3

t

0

0

t

fla

fla

0fla t

Re 한글 Re RA19_area_61m2 한글 中文Eng 한글 Con

3

4

3

at

Con

3

flat

1

2 2

2

3

3

2

2

1

ram

3

3

2 2

1

2

2

2

1 0flat

3

4

4

3

2

2

2 1

3

3

4

0 flat

0flat

23

3

1

2

2

0flat

5

3

0flat

0flat

2

2

2

2

3 33 3

3 3

33 3 3

2

2

1

2

3

3

3

3

0

3

3

3 3 3

3 3

3

3

flat

0

2

2

2

2

2

t 0fla

20flat

2

2

2

2

3

2

2

0flat

2

2

2

3

3

3

3

3

3

3

22

2

1 3

14

5

0flat 0flat 0flat

0flat

62

3 2

2 2

3 3

3 3

33 3

43 3 3

3

3

3

3

3

3

2 0 flat

2

3

8

3

3

3 3

2

3

3

3

3 4

3

3

5

4

4

3

3 3

3

3

2

3

1 1

1

4

4

1

3

3

3

2

2

2

4

3

4

3

3

2

3

3

4

1

4

5

2

3

3

3

4 4

3 1

2

3 3

3

3

4

5

3

4 4

2 3

3

3

3

p m ra

2 3

1

3

3

33

2

3

3

2

5

4

3

1 1

2

4

3

22

3

1

4

3

3 2

3 2

2 3

3

3

3

5

44

4 3

4

3

3

2

55

3 2 3

31 4 4 1 3

1

2

3

3

6

4

2 3

3 4

3

4

3

Re

Re Re

ra

4

flat

irs

Re Re

8

0 flat

3

sta

40 spira l

t 0fla

25

0 flat

4

p

0flat

t

ram

t

fla t 0

0fla at

8

fla

t

0 fl

mp

0

al 40spir

3

8 ra

0flat

0

2

rs

fla

2

25 stai

4m

32

at

0flat 0flat

t

0 flat

0 fl

fla

0

7

t

0 flat

t fla

0

0fla

0 flat

0

0fla t

0flat

fla

2

t

t

0

2

fla

t

la

0f

t

0flat

t 0fla

p

0fla

t

0f la

at

0flat 0flat

0flat

5

0

0 fl

0 flat

p flat

2

t

2

1 3

0 flat

3

4

0 flat

2

3

0flat

0 flat

0flat

ram

at

la

t

t

8

2

0f

t

0 fl

t

0fla

a 0fl

0flat 025 flat stairs

2

fla

fla

stairs 25

t

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

0

40spiral

0

353m

0 am

t

t

0flat 0 flat

8r

fla

0fla t

t

at 0 fl

irs

0

0f

a 0fl

flat

0

at

0 fl

0flat

sta

2

t 0 fla 0flat t fla t0fl

la

0f

lat

0fla0flat t

p

m

t 0fla8 ra

25

0

at

0fla 0flat t 0flta 0fla 0flat 0flat tt t 0fla 0fla 0fla at 0f0lflat 0flat0flat

p

0

fla

한글

Con

한글 Sh

16

0

한글 m 8 ra

16

at

0 fl

t

0fla0t fla

RB16_area_2211m2 Re Re

한글 한글 中文 Ps

Re

Ps

t

flat

0 flat

한글 Eng 한글

한글

Re

Re

Re

Re

Con ReRA6_area_2757m2

Sch Ps

Re

Re

Re

Sch

Re

RB14_area_405m2

0fl a

0

한글 RB2_area_2092m2 한글 中文 Con 한글 Re 한글 Con Re

한글Eng Me 한글

t 0fla 0f la t

中文 한글 한글 Con

al

한글中文

Con

RB11_area_290m2 Me

Re

spir

flat

Re

한글

Un

Re

40

0

Con

Re

Re

8 ramp

8 ra mp

한글Eng

Re Re

한글

Con

Con

s

RA21_area_660m2

한글RC46_area_1314m2

Re

t

7m

p

ir sta

Re Re

la lat 0f

12

8 ra m

at 0 fl

25

Re

0f

t

at 0 fl

25 stairs 25 stairs

Con

한글 RB27_area_624m2 Sch Re 한글 Con Re 한글 中文 한글 한글Me Sch 한글中文Con

Sch

Re RA12_area_4107m2

0fla

at 0 fl

p

s

한글 中文

Sch

Con

Re

Un

Un

RC7_area_517m2

한글

Me

Rst

Re

한글 612826.0, 179780.0, 27339.815035 Re 456092.740835, 175398.875175, 43144.896334 한글 Re 158m 한글 Un RA18_area_163m2 RF0_area_414m2

0

Con

Re

fla t

st air

한글 한글 Con

Re

0fl

t

am 8r

25

t 0fla

한글RA7_area_941m2

Con

Me

irs sta

s

0fltat la

Eng 한글

at

t

fla

25

ir sta 25

2s5t a

0f

한글

Re ReSch Re

456092.740835, 175398.875175, 43144.896334

Re

Re

RD21_area_217m2 RD13_area_161m2 한글 Con 612826.0, RB28_area_210m2 한글179780.0, 27339.815035 Re

Re

Un

한글 Re RA13_area_136m2 한글 Con Sch RA23_area_338m2

Re

Re

0fl a

0

ra

ramp

194m

Un

MeRA11_area_48m2

RA17_area_162m2

Re

m

t 0flat

flat

8

8

Me

한글

Me

Re

335m

0flat 0 flat 0flat

fla

0

flat

0 flat

mp

RD29_area_481m2

irs

Re

Eng 한글 Me RB10_area_835m2

Con

0 flat

0

iral

0

0 fl at

t

Re

Re

Re

Un

0fla at t 0fl

40sp

25stairs

0fla

한글

Re

0flat

t

la

0f

t

0fl a

t

0 flat

fla

Sch

0flat

t

fla

0 fla t

0

t

0

0f

lat 0fl a

8 ra mp

2s5 tair s

0 fla t

0fla

Ps Ps

中文 한글 RA15_area_19m2 RD0_area_298m2 한글RC49_area_180m2 Me 한글 Con Con 한글 中文 t

Con

lat 0f

irs

mp

lat

한글Eng

Co Re

296

p

sta

40 spiral 25stai rs

8 ra

0f

RC24_area_392m2

0flat

p

0flat

한글 한글

한글

한글 한글

flat

ram

0 flat

4

Re Re

Re

Re

at

8

0 flat

0 flat

4

airs

34

25 st

3

1

mp

4

4

ra

3

8

4

25 stairs

s

irs 25sta ir

0 flat

sta

0flat

25

2

Con

Re

0 fl

40s

s

0 flat

1

Re Re

Re 502423.616408, 52040.497125 524327.72576,

0 flat

m

25 stairs

25

0

t

pira l

air 25 st

p

l

42

m

3

Re

Re Re

551049.0, Re 405554.0, 26876.512226 Re Re RC36_area_340m2 Re Re Re Con RC11_area_1939m2 Un Re Con 551049.0, 405554.0, 26876.512226 Re Re Con Re Re

Re

ra

mp

Con

0 flat

flat

fla

0 flat

ra

40spira

3

한글

Con

Con 26876.512226 RB24_area_230m2 551049.0, 405554.0, Re Con RD3_area_178m2 RC8_area_287m2

m 276Re

8

Con

中文 한글

202148.0, 377075.0, 31496.493919

87m

Re

ra

3 30 6 flat

s

25 stair

8

t

flat

p

fla

0

m

0

p

ra

p

25stairs

40 spiral

8

ram

4

8ram

8

3

m

p

3

p

346

l

pira

40 s

25stai rs

ram

3

25 stairs

p

8

3

am 8 r

iral

40sp

rs

3

ramp

8

flat

0

8 ram

ai

1

0

0 flat

st 25

3

l

p

m

ra

8

0 fl at

flat

0

s

3

ira 40 sp

tair 2s5

3

ramp

ramp

8

4

0

8

t

fla

stairs 25

4

flat

p

3

t

Re

524327.72576, 502423.616408, 52040.497125 Re

Re

Re

fla

irs

ram

4

s

sta

8

4

stair

25

8 ramp

p

ram

8

ramp

4

0 fl at

lat

0f

Re

Re

Re

Re

Con 0

25

Re

0

t t 0fl0flaa t

4

t

fla

Con

0 fla

4

0

t

fla

0

64m

8

3

0fla0 flta t

한글 中文

0fla t

4

0 flat

0flat

0fla t

t 0 fla

한글 한글Re Re

0fla t

Re

fla t

Re Re

25 stairs

m Re

Re

Re

0flat Re

Re

104m

Re

Re

Re

Re

Re

Re

한글

ShRe

8 ramp

Re

Un Re

Re

551049.0, 405554.0, 26876.512226 Re Re RC40_area_1812m2 551049.0, 405554.0, 26876.512226 Re Re Re Re RD28_area_271m2 Re

ramp

한글

RB25_area_406m2 한글 中文 Con

Re

0flat

한글

Con

RE4_area_328m2

Re RD1_area_11479m2 Re

Re Re

Re

Re

8

Re Con Un

p

0

8 ramp

0 flat

Re

Re

Re

Re

Con

524327.72576, 502423.616408, RD10_area_182m2 Re Re 52040.497125 Re Re

Re RC30_area_2065m2 Re

Re

Re

Re

Con

Re

m

Re

Re Re

8

Re

Re Re

ra

Re

Re

ra m p

Re

8

Re

522975.0, 27919.73191

Re

RD16_area_1432m2

Re

Re 0flat

flat

s

flat

Re

Re

0 fla t

0 fla t

0 flat

33

25

0flat 40s pir aatl 0 fl

sta ir

4

stairs

0 flat

25

3

40spiral

0 fla t

t fla

0flat

0fla t

33

0

0 flat

0 flat

3

0flat

t

2

t

0 fla

0 fla

0

Re

Re

Re 524327.72576, 37040.497125 465010.0,502423.616408, 522975.0, 27919.73191 Re Re

Re

RB26_area_574m2

8

Re Ac

0flat

lat

Con

5m

25

Re Re

25stairs

t at 0 flat fl 0fla0

한글Ac 한글 中文

0flat 0flat

Sch Re

0f

Con

Re Re 465010.0, Re

Re

Re

中文 한글Con 한글 中文 한글 Con Re RC1_area_466m2 Re 한글 Re Con 282484.09505, 344904.660804, 41474.391637 Re 한글 Con Re Re Re 한글 中文 Re Re Re RC10_area_209m2 RA0_area_240m2 Re Re Re 6 Re 282484.09505, Re 344904.660804, 29474.391637 한글 Con 9한글 中文 Con 0flat 2 m 中文 Con Re Re 202148.0, 377075.0, 31496.493919 한글 Ps 0flat Con RB15_area_161m2 한글 Eng Re Re Con Re Re Re Re 한글 中文 RD26_area_350m2 Con 한글 Re 中文 한글 Re 中文 한글 Con Re Re Un RA16_area_54m2 Con 543228.346816, 284581.327885, 38049.043909 RA3_area_311m2 ReRC32_area_40m2 Con Re Re Re 한글 Con Re RD11_area_2804m2 Re Re 한글 中文 Con Con Re RC6_area_931m2 Re Re 0flat 한글中文Eng Ps Re Con Re 한글中文Eng Con Re Re Re 한글 Con Re Ac Re 한글 Con Con 한글 中文 Con Re Re Un Re Re RC41_area_242m2 282484.09505, 344904.660804, 41474.391637 Re RB29_area_40m2 한글 Con 한글 Re Re Re 한글 Con Re Re Re Re RA9_area_268m2 Re t 한글 Con 中文 한글 Con Re 0fla Re Re 한글中文Eng Con 543228.346816, 284581.327885, 41049.043909 Re 한글 2s5ta Con Me t Re 한글41474.391637 中文 Con Re 中文 한글 Con irs 344904.660804, Re Re Re Re 0f0laflat Re282484.09505, Un 0 flat 543228.346816, 284581.327885, 38049.043909 Re 한글 中文 Sch 한글 Re Re Re Re Un RC50_area_78m2 Re Re Re Re Re Re 한글 Con Con Re RB21_area_11m2 한글 Re Con Con Re 한글Re Re 한글 Ps 中文 Re Re Re Re Re Re 한글 Sch Re Re Re Re Re 한글 Re Re Ps 377 Re 中文Eng 한글 t Con Un t m 中文 한글 RB1_area_20169m2 fla Con Re 한글 0fla 中文 Con 0 한글 Co Re at0flat 한글 Re fl Re 0 Re Re Re t Re Re t RD15_area_333m2 Re fla 0flat Re fla Un Re0 0 Con 한글 中文 Con Re 한글 Co 641445.0, 231362.0, 28723.509777 Re 한글中文Re Re Con 한글 543228.346816, 284581.327885, 50049.043909 Con Me Un 한글 中文 Con 641445.0, 231362.0, 28723.509777 Re 한글RC48_area_321m2 Re Re Re Re Re 한글 Un0 flat RB30_area_489m2 Sch RA2_area_2861m2 Re 한글 Re Re Re RC2_area_224m2 Re Re 한글Sch Re Re 한글 Con 한글中文Sch Con RA1_area_561m2 3 Re Un Re 7 한글 543228.346816, 284581.327885, 47049.043909 RC33_area_14m2 Re Re 中文 Sch 한글 0m Re RD14_area_161m2 Re 中文 Re Re Con 1Re Re RB12_area_542m2 14 Re Re 한글 Con 456092.740835, 175398.875175, 37144.896334 m 한글 한글 中文 Re Re Re RC42_area_1414m2 한글 Con Ps Re Re Re Re RC0_area_21488m2 한글 Re 한글 Re 641445.0, 231362.0,Re28723.509777 한글 Con Re 한글 Me Re Re 中文 한글 Hos 한글 O Re 한글 한글 Re RB18_area_899m2 한글 Con Re Re Re Re Re 한글 Con Re Re RD12_area_881m2 641445.0, 231362.0, 28723.509777 한글 한글 Con Con 中文 Sch RA5_area_102m2 Re Re RC19_area_617m2 한글 한글 Sch Con 한글 Sch 한글 Eng Ps 한글 Con 612826.0, 179780.0, 27339.815035 中文 Sch Re Con Re 한글 Con 456092.740835, 175398.875175, Con Re 40144.896334 Re 612826.0,Re179780.0, 27339.815035 Re RA4_area_1752m2 Re Re 한글 Re Con Sch 28723.509777 Re Re 641445.0, 231362.0, Re 한글 Con 456092.740835, 175398.875175, 34144.896334 Re Un Re Re Re RB13_area_2458m2 Con Re RE7_area_337m2 Con 한글 Re Re Re 한글 Con Go 한글 中文 Con Re Re Con RD27_area_117m2 Un 한글中文 中文 Re Sch Re Re Re Re 612826.0, 179780.0, 27339.815035 0 flat

0 flat

0 flat

Re

Re

Re

mp

한글 Con 524327.72576, Re 502423.616408, 40040.497125 Re

Re

Re

282484.09505, 344904.660804,Re38474.391637 Re

693

Re

0fl Con Re 202148.0, 377075.0, 31496.493919 at RC15_area_309m2 RB0_area_7392m2 Re RC17_area_153m2 Con RD18_area_300m2 Con 0flat

0 flat

Un ReRC34_area_60m2 Re

Re

465010.0, 522975.0, 27919.73191 ReRe Re

0 flat

Re

0flat 0fla t

Re Re

t 0 fla

Sch

25s tair s

Sch

0 flat

0flat

0 flat

한글

Re

Re

Re

Re

Re

Htl

0 fl

0 flat

RA14_area_136m2 at

0 flat

t fla

0 flat

0flat

0 flat

Con

0flat

0 flat

0flat

0flat

Re

0

RC14_area_217m2

0flat

t

0 flat

fla

한글 中文

Re

Re

RC5_area_13173m2 Re

Re

Re

Con

Re

Re

Re Re

Re

Re

0flat

flat

Re

Con

Re RC45_area_102m2 Re RD17_area_1701m2 RC47_area_21m2 한글

p

0

0flat

0flat

0

Re

Re

Re

Re

t

fl 0flaat t

fla

0

p 8ram0flat

0

t

flat 0Sch

Re

Re

Re Re

Re

한글

Con

RD5_area_1167m2 ram

Re

t

한글 한글 中文 Re

Re

Sh Con

Re

irs 2s5ta 8

Re

Re

fla

flat

0 Re

t 0 flat 0 flaRe

t

RD22_area_150m20

0fla

t0flat ReRe

RC35_area_1028m2 Re Re

Re

Re

Re Re

Re

Re

Re

RB4_area_1092m2

0fla

中文 한글 Ps 한글 한글 한글 RB8_area_180m2

Con Sch Re

Re

Re 0flat Re 한글 0flat Ac 中文 한글 Con 0 flat Re Re Re 한글 中文 Con Re Re 한글 RA22_area_66m2 Re RC23_area_335m2 202148.0, 377075.0, 31496.493919 RB5_area_1538m2 Re 中文 Sch 202148.0, 377075.0, 31496.493919 中文 한글 Ps Re 한글 中文Sch Con Sch 中文 한글 中文 한글 0 flat Con 한글 中文 한글 Sch Con 한글 Con Re 한글 中文 Ps 0fla

t 0fla

at

flat 한글

Ac 0

0 flat 0 fl at

0flat

ramp

0 flat

8

0fl

Re

Re

Re Re

Re

Re

Re

Re

Re

Re

Re Re

0 fl at

Re Re

0 fl at

Re

0 fla t

한글 中文 Ps 11672.645128, 521082.151457, 46292.039801 한글 中文 Con

Re Re

한글 한글 Con RA10_area_76m2

Con

Re

Re

RC29_area_145m2

Re

552m

Re ReRe

Re

Re

Re

Re

Re

Re

Re

Re

RB23_area_20m2

Re

Re

Re

Re Re

Re

p

Re

Re

Re

Con

Re

Re

11672.645128, 521082.151457, 46292.039801

Re RD23_area_240m2 Re

Re

Re

Re Re

Re

ram

Re

Con

stairs

Con

Re

한글 Con 한글 Con 한글Con Con Un 한글 한글 Con 한글RC3_area_280m2 RE1_area_163m2 RC18_area_130m2 한글 Con Re 한글 Re Con Con Re 한글 Con Un RE6_area_257m2 465010.0, 522975.0, 27919.73191 한글 Con Con Ps 465010.0, 522975.0, 27919.73191 Re 한글 한글 Con Con Re Re 8 Con 한글 ra Re

Re

Re RD4_area_7162m2 ReRe

Re

Re

8

9

Re m Re

Re

Re

Re

RC4_area_401m2

0flat Re

한글 RD6_area_3125m2 flat0flat 0 flat 0Con

Re

Re

한글

Con

Re0 flat

Re

Re

ReRe

25

23

Con

Re

Re

Re

Con Re

Re

25

Re

Re

Re

Re

Re

s

Re

stairs

Re

Re

Re

Re

Re

Re

Re

Re

한글 한글

tCon Con

t

Re

Re

Re

Re

Re

한글46292.039801 RC20_area_636m2 Re

Re

25

Re

Re

454m

中文 한글 0 fl 한글 Con at RE2_area_169m2 0 flaSh 한글 t 한글 中文 Con 0 fl 0fla a Con

한글

Re

Re Re

Re

ReCon

Re

Re

Re

Re

Re

st air

flat

Re

t

0

Re

한글

Con

Con Con

Re Re Re

Re

Re

Re Re

中文 한글 한글 中文 Ps

RB19_area_263m2

Re RC16_area_10621m2 Re 25stairs Re Re

Re

Re

Re

한글

한글

Con Re

中文 한글

fla

Re

Re

Re

Re

RD24_area_259m2

中文

한글 中文

0

Re

0flat

t

Re

Re

p

fla

한글

0 flat Con

Re

Re

Re

Re

Re Re

Con

Con Re Re 11672.645128, 521082.151457, Un Re Con Re 521082.151457, 43292.039801 Re Re Re Re Re Re RB20_area_200m2 Re Con RD19_area_175m2 p

Re

Re

Re

한글

Con

25 stair s

11672.645128, ReRe

Re

0

Re

Re

RB22_area_117m2

Re

Re

RD20_area_489m2 Re

Re Re

Re

ra m

Re

Re

Re Re

RD25_area_167m2 Re Re

Re

한글 中文 Con RC44_area_143m2 Re RC39_area_169m2

Re

Re

Re Re Re Re RD9_area_5788m2 Re Re Re

Re

Re

한글 中文 Re

Con

Re

Re Re Re

Re

Re

Re

RC21_area_424m2 11672.645128, 521082.151457, 46292.039801 Re

Re

Re

Re

Con

8 ram

Re Re

25 st airs

Re

한글

Con

한글

한글 Con 한글 Htl RE3_area_426m2 RF2_area_523m2

p

Me

Re Con

Re

Re Re

Re

ra m

Re

8

한글 RC13_area_2550m2 Re

25 stairs

Re

Re

Re

40

한글

Re Re

sp ira l

Re

한글 中文

Re

Co

spiral 40

Re Re

한글

Re

Re

Re

한글

Con

flat

Re

Re

Re 한글 中文 Con Re RD2_area_8762m2 RC27_area_1171m2 RC43_area_354m2 Re

sta irs

HosRB9_area_121m2

0

Re Re

Re

Re

Re Re

Re

Re Re Re RE0_area_1836m2 한글中文Eng Co Con RC22_area_153m2

Re

ReRe

Re

Re

25

Re

Re

Re

t fla

한글

Re Re

Re

Re

Re

8 ra mp

Re

Re

한글

Re

l

Re

Re

Re RC25_area_293m2 Re Re

Re RE5_area_275m2

RC37_area_369m2

sp ira

Re

한글

Hos

Re

0

Re

한글 RB7_area_182m2

Con

Re

Re

Re

Re

irs

Re

Re

한글

Con

MeRC28_area_81m2 Me Re RC38_area_153m2 Con 한글 中文 Me Re Re RC26_area_180m2

25s ta

Re

Re

Re

40

Re

한글

In

Re

8

Re

한글

Con

Re

0 flat

O

t

中文 한글

한글 p

8 Con ram

RF1_area_727m2

Re

RD8_area_2763m2 Re

8 ramp

Re

0 fla

3

2

2

Con

한글 한글 한글 EngHtl

Con Con

flat

Con

0

中文 한글

Con

Sh

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

13


G-Line

AAVS Seoul 2017 Unit 2 Hyper Agency Aleksandar Bursac & Soomeen HAHM Davis WATTS, Wei WU, Lee DONGHYEON, Lee SEUNG HOON, Diana ONG

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

15


G-LINE

Site Analysis - Garibong Dong Garibong Dong is a neighborhood (a dong) of the Guro district, in the southwest of Seoul, South Korea. Also known as “China town”, this area is home to many ethnic Korean with Chinese, known as the Joseonjok (조선족).

K

O R E

Joseonjok are descendant of Koreans, living in Yanbian Korean Autonomous prefecture in China. A part of this community moved to this northeast district of China to escape natural disasters between 1945 and 1960. But most of Joseonjok ancesters moved to China for political reasons while being at war with Japan.

A

N

They are not considered to be Korean, even though they share the same ethnic ancestors to Koreans. Mainly this is because they were chinese citizens when South Korea became a state known as the Republic of Korea. Moreover, since Korea has opened its door for immigration, Joseonjok have immigrated both legally and illegaly, and were said to be involved in criminal activites. It reinforces the stereotypes of Joseonjok having a bad influence toward the Korean society. The Garibong Dong area is located next to what was previously the Guro industrial complex. Built in 1967, Guro industrial complex was the first industrial complex of the country. It attracted immigrants from China, and especially joseonjok, to work as blue collars. However, this complex has quickly mutated into a futuristic high tech hub, leaving the joseonjok unemployed but still leaving in their small worker housing in Garibong Dong.

C

H I

N E S

E “After the blue-collar workers and democratization protesters who initiated the country’s labor movement in the area left to pursue better jobs, jjokbang, cage-like rooms built for the factory workers, became filled with migrant workers, mostly from China, looking for cheap rent and daily manual work. As of December last year, about 15,000 ethnic Koreans from China had registered at the district office, followed by 637 Chinese, 232 Taiwanese, 208 Malaysians and 153 Filipinos, according to district office data. If illegal aliens are added, the office said, there are about 20,000 foreigners in the area.” Joong-Ang Ilbo

In Garibong Dong, the ethnic Korean from China are very noticeable, there are street signs written in chinese character, chinese restaurant and hotels, and a visual fracture between the rest of Seoul’s district. Most of Joseonjok speaks mandarin chinese as their main language, so it creates even a different atmosphere, in which Korean people don’t quite blend. These differences makes it very difficult for the population of Garibong Dong to be united as one society.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

17


G-LINE

Strategy - Garibong Dong Zip Line A zipline is a mean of transportation which uses a pulley suspended on a cable of stainless steel. It uses only the gravitational force thanks to a slope design. This mean of transportation exists in alpine in region of the world to cross rivers, or valley. It is also used as an entertainement in outdoor adventure camps, and is very popular as a tourist attraction. It offers a fun and safe ride from any high point, to the ground, and a view toward the entire section visited. Using these aspects of ziplines, the GaribongDong Line (G-Line) will serve as a fun way to bring together the Korean and Chinese community, as well as being energy efficient, and allowing a new perception of the area. Through data harvesting, the student will be improve the OpenStreetMap data base, and use it as a design methodology to generate the zip-line project.

Unit 2 Hyper Agency | Aleksandar Bursac & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

/84


G-LINE

From data to design - Data collection - Primary data This map shows the points where data were collected by all group members. The denser the dots, the more data collected at that particular area. This also corresponds to the accuracy of data analysis of Garibong-dong. Different category of information were harvested, in this project it was important to collect information about the cultural fracture of Garibong Dong. Indeed, language written and spoken were mapped as well as height and usage of each building.

Types of data collected Building use Building levels Languages Signages

0

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

50

100

150

200 m

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

21


G-LINE

Mapping the routes - Starting point Conceptual diagram As explained, the Joseonkoks are seen as an issue for they don’t live together with the Korean population. Therefore it is needed for these populations to blend more into the korean culture and local populations. The zip line project will ensure that the chinese and korean inhabitants of Garibong Dong have the chance to meet each other. By doing so it will bring the populations from a starting point, an important urban node of this population, to a shared public space. Achieving its final goal, mixing the difference into a fun and innovative urban blend, the zip-line will be an important object in the urban tissue. In order to find an effective proposal for the zipline, generative algorithms will be used to define the nodes of the city for both Korean and Chinese inhabitants.

0

50

200 m

150

100

Mapping the cultural landmarks of Garibong Dong From the data harvested in the field trip to Garibong Dong, it was very much noticeable that many chinese commercial buildings use chinese character text for their street sign, while the korean shop are using Korean writting. Moreover, users from the Joseonjok community are speaking chinese mandarin, and Korean community users speaks in Korean language. Through an investigation of the area, those cultural appropriations were mapped onto the buildings by using a cloud of point. The type of language spoken or written is a qualitative data, it is rarely mapped as it is an informal aspect of the city. However, with this study the students aimed to reveal the invisible cultural pattern of Garibong Dong neighborhood.

Unit 2 Hyper Agency | Aleksandar Bursac & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

0

50

100

150

200 m

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

/84


G-LINE

Mapping the routes - Starting point DATA INPUT : LANGUAGES A colour gradient diagram is constructed to help visualise the zones where Chinese and Korean populations gather. To construct this diagram the algorithm will calculate the average for every point of the studied zone, between the previous point shown for the data language. It will help to assume the average and compute the estimation of language spoken and written in area for which there was a lack of data. This simulation will help completing the data driven design method used to find cultural nodes in the Garibong Dong area.

Types of data collected

Building use Building levels Languages Signages

Languages

Korean Chinese Chinese Korean

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

Korean Chinese Chinese+Korean

0

50

100

150

200 m

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

25


G-LINE

Data translation - Vizualization Korean and Chinese cultural landmarks are mapped with respectively blue and pink. The two sets of data are seperated in order to be evaluated seperately and compared. The pattern of repartition for both communities spaces seems to be a little bit different, but their needs to be a better comprehension of those differences. As to enhance and thus vizualize this urban cultural pattern, the data sets are projected onto a grid.

0

50

200 m

150

100

0

50

d=36.86 1 d=7.974

200 m

150

100

d=21.761 d=18.328 d=20.565 d=47.06 5 d=75.58 0 d=104.474

Then, we proceeded to do a density analysis, and to remap the dots into the grid, the larger and the more opaque the dot, the more the culture exists around this area. This density mapping of cultural landmarks and appropriation showed that the two communities center of activities differ, and made it possible to identify those places.

50

100

150

200 m

0

50

100

150

200 m

d=18.328

Distance

0

Density

d=7.974

d=20.565 d=21.761 d=36.861

d=47.06 5 d=75.58 0 d=104.474

1/(distance to closet data) ? Density o f the languag e 0

50

100

150

0

200 m

50

100

150

200 m

Unit 2 Hyper Agency | Aleksandar Bursac & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

RARE

FREQUENT

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University 0

0

50

100

150

200 m

50

100

150

200 m

/84


G-LINE

Data translation - Vizualization The density analysis then served to compute a simulation. The density grid was morphed into a mesh surface where the height of a point is function of his density value. In this experimentation, the z coordinate of a point increase when the density value of this point is high. When the density value of a point approaches or is equal to zero, there is no deformation of the z coordinate. As the time parameter increase, the factor of deformation increases as well. Meaning that the z coordinates is multiplied by a larger number. As long as the computer is running the simulation, the mesh surface morphs from a flat design to a rugged surface. This logic aims to find the highest point that will be used in the project as starting station of the zip-line transportation.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

29


G-LINE

Data translation - Vizualization The density data was remapped onto the meshed surface using spheres. Afterward, using the rainflow analysis on the new topography generated by the algorithm, the cultural nodes for the ethnic Korean Chinese (joseonjok) and Korean community appeared with more accuracy. Using techniques from landscape analysis and data management, the student were able to reveal some invisible aspect of the urban space that help to generate a data driven design.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

31


G-LINE

Comparison of the Korean and Chinese cultural landmarks

This is a top view of each particle flow simulation at its peak.. It can be observed that the starting point, cultural landmark point is narrowed down to a much more accurate area than the rough and uniform mapping which triggered this project. Comparing the two different simulation by a superposition of both results makes it clear to notice that even if the gathering point for each community are very close, they are different. The two community live in two different but similar neighborhood, they created a parallel system into the Garibong Dong area. Thanks to this analysis the project will go further on by selecting the buildings which shows the most interest as gathering points for each culture. These buildings will host the design of the G-Line stations. 0

50

100

150

200 m

0

50

100

150

200 m

0

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

50

100

150

200 m

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

33


G-LINE

Station selection

0

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

50

100

150

200 m

0

50

100

150

200 m

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

35


G-LINE

Mapping the route - Ending point In Garibong Dong, chinese population and korean populations share the same district but they blend together as one mixed population. Public life of the two population are distinct and they even have their own mapping system, using Baidu for the Chinese and Naver for the Korean. Each community lives in its own public spaces and buildings, they tend to have different type of activities as well. It was the primary goal of this project to create an opportunity for those two communities to meet and share moments, as to get to know each other and enrich themselves from this cultural exchange. The zipline starts from the most important urban nodes and landmarks of each community, and has the ambition to lead them to public spaces that will be shared by both population. Meaning that the ending points of the zipline will be some open public spaces gathering everyone in a shared area of Garibong Dong.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

37


G-LINE

Mapping the route - Ending point The Garibong Dong zipline will bring people from each communities to shared public space. But as for now, there are no such places in the neighborhood. Ethnic korean chinese are using the web map called “Baidu” and the Korean people are using the web map called “Naver”. Those two maps show very different information about which public spaces (built or open) are important for each community. The first step to find the ending point of the G-Line is to map those places. Second step is to do a cross analysis of this spatial data to find the overlay surface. Finally, the arrival stations are chosen by selecting the closest optimal area or building next to these overlays.

0

50

100

150

200 m

0

50

100

150

200 m

0

0

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

50

100

150

50

100

150

200 m

50

100

150

200 m

0

200 m

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

39


G-LINE

Arrival stations

3

4 Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

41


G-LINE

Slope and speed analysis

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

CALCULATE IDEAL HEIGHT

CREATE HEIGHT GUIDELINE

CREATE REALIZABLE HEIGHT

CREATE PATH

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

43


G-LINE

Slope and speed analysis

Starting Point

Ending Point

height

length 100*height/length = inclination (%) Starting Point

Ending Point

height

length 100*height/length = inclination (%)

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

45


G-LINE

Station design and urban implementation

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

47


G-LINE

Render view

Unit 2 Mapping as design | Aleksandar Bursac & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

/84


G-LINE

Render view

Unit 2 Mapping as design | Aleksandar Bursac & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

/84


G-LINE

Render view

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

53


G-LINE - STUDENTS

Davis WATTS is currently a master’s degree student in architecture at the university of Melbourne, Australia.

Wei WU is a junior student in architecture major at the Guangdong University of technology, Guangzhou, China.

Donghyeon LEE is studying in the department of architecture of the college of engineering at Korea University, Seoul, Republic of Korea.

Seung Hoon LEE is currently a third year student

in architecture at the Korea University, Seoul, Korea.

Diana Sze Mei ONG is an undergraduate student at the university of Melbourne, Australia.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM G-line | Davis WATTS, Wei WU, Donghyeon LEE, Seung Hoon LEE, Diana ONG

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

55


Groove top AAVS Seoul 2017

Unit 2 Mapping as Design Aleksandar BURSAC & Soomeen HAHM Yuanyuan CHE, Hyunsung CHOI, Jesslyn HUMARDANI, Albertus MAGNUS YUDHISTIRA, Janghee LEE

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

57


GROOVE TOP Data harvesting

Data Collected Spot

Low

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

High

Residential

Restaurant

Commercial

School

Religious

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

59


GROOVE TOP Site Analysis

Garibong Dong area lacks public spaces where people can actually gather, sit together, and spend time as a community. It goes as far as old people needing to seat on the pavement, and for children to stay on the street sides without proper leisure zone. It is our goal to take into consideration the needs of every different type of person in this site community. However, in Chinese culture, it is common to use the public space of the street for dancing activities. Not only do the chinese people dance in the street, but also they create a liveful atmosphere which brings joy to the community, as well as taking advantage of every public spaces they are given. The groove top project will try to resolve this lack of public space and suggest some different solution for each group of people of this community to gather and share their interest.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

61


GROOVE TOP

Roof top height sorting The first map is showing the height of building with a color gradient code. Height is given according not only to the building’s number of level, but considering the ground height as well. Zero is the sea height. It is noticeable that buildings height is arranged in a linear logic, which follow the natural slope of the terrain.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

In order to rearrange the building height and create public spaces on top the city, the buildings were sorted according to their height range. It is meant to group the building with similar height and merge them into one bigger roof space.

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

63


GROOVE TOP Merging analysis

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

65


GROOVE TOP

Roof top height sorting

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

67


GROOVE TOP

Roof top height sorting

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

69


GROOVE TOP

Roof top height sorting

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

71


GROOVE TOP

Morning Time 3am - 7am

Activity Time 7am - 3pm

Coming home Time 3pm - 7pm

Dinner Time 7pm - 10pm

Night Time 10pm - 3am

User daily spacial shift

ELDERLY

STUDENT

VISITOR

WORKER Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

73


GROOVE TOP

Rooftop division according to time and user

Morning Time 3am - 7am

Activity Time 7am - 3pm

The designed rooftop are allocated to different typology of users according to the time period. Using the previous analysis of spatial shifting of different categories of person in the community, the merged rooftop are given a suggestion toward which use could be optimal in different part of the days. In doing so the Groove Top projects aims to gather people around different activities such as yoga, tai chi, hip hop dancing, and to open the gathering opportunities for citizen.

Coming home Time 3pm - 7pm

Dinner Time 7pm - 10pm

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

Night Time 10pm - 3am

Unit 2 Hyper Agency | Aleksandar Bursac & Soomeen HAHM GroupDancing | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

Space DIvision 22:00 PM - 3:00 AM

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

75

AA VS Seoul 201


GROOVE TOP Ambiance view

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

77


GROOVE TOP Design proposal

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

79


Yuanyuan CHE is a master degree student of

architecture design at the university of Korea, Seoul.

Hyunsung CHOI is currently working as an architect in Seoul, Korea.

Jesselyn HUMARDANI is an undergraduate architecture student Melbourne, Australia.

at

the

university

of

Albertus Magnus YUDHISTIRA is studying

architecture as an undergraduate at the university of Melbourne, Australia.

Janghee LEE is a student in interior architecture at Yonsei university, Seoul, Korea.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM Groove top | Yuanyuan Che. Hyunsung Choi. Jesslyn Humardani. Albertus Magnus Yudhistira. Janghee Lee

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

81


Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

AA VS Seoul 2017 Social Algorithms 5.0 | Yonsei University

83


CREDITS Director of AAVS Christopher PIERCE Director AAVS Seoul Jooeun SUNG Soomeen HAHM Tutor of AAVS Seoul Unit 2 Aleksandar BURSAC Soomeen HAHM Editor of this booklet Chloé HAENTJENS HERWEGH Students Yuanyuan CHE Hyunsung CHOI Jesselyn HUMARDANI Janghee LEE Donghyeon LEE Seung Hoon LEE Diana Sze Mei ONG Davis WATTS Wei WU Albertus Magnus YUDHISTIRA

REFERENCES Jarvis A., H.I. Reuter, A. Nelson, E. Guevara, 2008, Hole-filled seamless SRTM data V4, International, Centre for Tropical Agriculture (CIAT), available from http://srtm.csi.cgiar.org. Reuter H.I, A. Nelson, A. Jarvis, 2007, An evaluation of void filling interpolation methods for SRTM data, International Journal of Geographic

SOFTWARE

Rhinoceros 3D. 5.0. November 2012, Robert McNeel & Associate Grasshopper. 1.0. April 2014, Robert McNeel & Associate Elk. 2.2.2. November 2017, Thimothy Logan

How to cite this publication:

Bursac A., Hahm S., Mapping as design, AAVS Seoul 2017, Architectural Association Visiting School 2017, Yonsei University, Seoul, Korea, 86p.

Unit 2 Mapping as design | Aleksandar BURSAC & Soomeen HAHM

AAVS SEOUL 2017 - Mapping as design  
AAVS SEOUL 2017 - Mapping as design  
Advertisement