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