Ziyi Yang | Portfolio 2018 by Ziyi Yang

Z I Y I YA N G Architecture + Urban Design Portfolio 2018

CONTENT CV PERSONAL EXPERIENCE AND SKILLS

M.ARCH PROJECT DEPRAVED URBAN SCAPES | Inhabiting Subnature

INTERSHIP PROJECT SCHEMATIC DESIGN AND PLANNING FOR LUXIANGYUAN HISTORICAL AREA

BA3 PROJECT CHIC--FASHION INSTITUTION OF 3D PRINTING

BA2 PROJECT MAKE--AFFORDBLE MARKET AND DESIGN STUDIOS

COMPETITION PROJECT THE BAMBOO STATION

ZIYI YA N G EDUCATION Ziyi Yang Born on November 19th, 1994 Contact +447564142895 ziyiyang941119@gmail.com

2011-2013 Oxford, UK

2013-2016

Portfolio:

Manchester, UK

ISSUU

WIX

http://1205508010.wixsite.com/ziyiyang

2017-2018 London, UK

https://issuu.com/ziyiyang2

PERSONAL STATEMENT I am interested in the field of design and have experience working in architecture, urban design, interior design, and graphic design, and I am always enthusiastic about creative design and undertaking new challenges. The experience of studying in architecture schools has given me the ability to work under pressure and being productive to meet the given deadlines. I have been studying in the UK since 2010, working with different people come from diverse cultural background has enhanced my communication skills and make me become more accustomed to hearing and learning from different perspectives.

D’Overbroeck’s College A-level A* A B University of Manchester BA Architecture - Upper Second-Class Honours (2:1)

University College London The Bartlett School of Architecture Urban Design MArch - Distinction Award

WORK EXPERIENCE 2014 – 2015

HomeComfortsZone

Manchester, UK

(http://homecomfortszone.co.uk/) Senior graphic designer (part-time) Job content: Leaflets design and business card design. Formatted text and graphics for website and blog posts.

2016 – 2017 Shanghai, China

Tongji Architectural Design Group Architectural Assistant (full-time) Job content: Developing schemes using 2D and 3D computer software.

DESIGN SKILLS Software: Rhinoceros 3D Grasshopper SketchUp AutoCAD Houdini GIS Adobe Photoshop Adobe Illustrator Adobe Indesign Adobe Premiere Microsoft Office

Maintaining project documents and presentation layout. Participating in design debate. Researching products, materials, site background.

Other Skills: Event Planning Photography Logo Design Illustration Grid & Layout Binding & Printing 3D Printing (Cura)

2017(May to August) Shanghai, China

CA-GROUP Interior Designer & Exhibition organiser Tadao Ando - Leading Exhibition at Pearl Art Museum, Shanghai Job content: Developing 3D computer model for interior arrangement and model display schemes. Project presentation layout. Overseeing the production of tickets and advertisement material.

2018 (1 Week workshop) London, UK

University College London

LANGUAGE CHINESE

Computational Skills Teaching Assistant Job content: Introducing Grasshopper and techniques of computational thinking in design. Teaching data analysing, visualising and graphic skills in Grasshopper.

Native Speaker

ENGLISH

VOLUNTEERING EXPERIENCE

Speaking for 7 years

2012 (2 Week workshop) Namibia, South Africa

Korean

Self-Learning for 1 year

HOBBIES & INTERESTS

Traveling

Cooking

Photo

Dog

Diving

Volunteering project in Namibia, South Africa In 2012, I participate a volunteer project in Namibia (South Africa) with a team from d’Overbroeck’s College. The volunteering contents are listed below: Building a playground from draft for the children in a local school. Teaching English and art to the local children.

DEPRAVED URBAN SCAPES Inhabiting Subnature

Portfolio - BENVGU22 RC 14 Big Data City: Machine Thinking Urbanism Group Topic : Wind and Pollution Xinyi Li Ziyi Yang Vasileia Panagiotopoulou

Tutors: Roberto Bottazzi Tasos Varoudis

The Bartlett School of Architecture University College London MArch Urban Design B-PRO

Research Cluster 14 MArch Urban Design Big Data City: Machine Thinking Urbanism Research Cluster 14 explores the role of big data and learning algorithms in urban design. Big data - commonly defined as the possibility to aggregate and mine large datasets by employing computers - is often understood as a series of abstract techniques without spatial or visual qualities. We challenge this perception by developing a research agenda in which the capabilities provided by ever-more powerful computation to mine data are used to question the role of urban design in the light of the ever-thinning distinction between man-made and natural environments. Here, computation is aimed at including important elements of urbanity - which are either invisible or have been playing a peripheral role in the design process - in the design conversation. Through digital tools we can widen the range of what can be sensed, expanding to factors beyond human perception. Likewise, algorithms provide a means to mine data to augment the limits of our cognition, deeply changing how we interpret space. This shift allows us to collapse the distinction between natural and man-made artifacts, as the massive influence of human actions on Earth and its biosphere no longer allow us to maintain this separation.

AIM

U R B A N S T R AT E G Y

The current project, aims to reestablish the relationship between the urban fabric, its users and air pollution. More specifically, our urban approach and intervention is driven by the idea that â&#x20AC;&#x153; aspects of the seemingly subhuman conditions of contemporary urbanization and its subcultural peripheries â&#x20AC;&#x153; (Gissen, 2009) should not be confronted exclusively as a threat but as an existing dynamic element of potential design inspiration. The negative definition of these urban conditions as subnatural, could be inversed through design and urban interventions inspired by natural systems and processes.

Our urban strategy is driven by collecting, visualising, analysing and simulating data concerning air pollution concentration and its components, the element of human factor in the city, and wind movement around our site of interest. The data analysis defines zones of intervention with particular characteristics that indicate different typologies of intervention.

Therefore, the main aim of our approach, is to produce a new spacial milieu between pollution and urban spaces, and render the space that we avoid to inhabit as space that could potentially regenerate the city.

These typologies are defined by the approach of the structural complexity and morphology of natural systems, which we consider as the basic elements anticipating air pollution.

A I R P O L LU T I O N I N LO N D O N London is a city undergoes a long history of air pollution, even after the Great Smog of 1952 and the Clean Air Act in 1956, the air pollution in the twenty- first century is still challenging. We may not suffer from massive smog from burning coal, but contemporary urban by-products have become more complex in their chemical properties and more invisible. Even though specific air pollutants present a certain decrease in comparison to 1950s, during the summertime of 1976, pollution episodes, stated as â&#x20AC;&#x153;photochemical smogsâ&#x20AC;&#x153; that resulted from ground-level ozone formed by its precursors, had as an impact the increase of mortality in London up to 7%. During the 1990s several winter smog episodes occurred

during calm winter days, causing the death of 100-180 people. The main air pollutants of concern in Greater London today are particles, with PM2.5 and PM10 being considered as the most hazardous, nitrogen oxides (NOx), volatile organic compounds (VOCs) and carbon monoxide (CO). These air pollutants in between others such as Sulfur Dioxide (SO2) or Ozone (O) arise apart from vehicle emissions, from commercial, industrial and domestic emissions or the fossil fuel power generation.

Image: Collage of newspaper headlines during the Great Smog in London. postnote November 2002 Number 188 Air quality in the UK Page 2

(kilotonnes)

3000 3000

12000 12000

2500 2500

10000 10000

2000 2000

8000 8000

1500 1500

1000 1000

NO2 NO2 VOC VOC PM10 PM10 CO CO

6000 6000

4000 4000

500 500

00 1970 1970

2000 2000

1975 1975

1980 1980

1985 1985

Year

1990 1990

1995 1995

emissions (kilotonnes) CO CO emissions (kilometers)

The main pollutants of concern are nitrogen oxides (NOx)2, volatile organic compounds (VOCs), particles (especially PM10, which are particles with a diameter of less than one hundredths of a millimetre, i.e. 10 Âľm) and carbon monoxide (CO). All of these are mainly emitted by road transport, but also arise from fossil fuel power generation and domestic and industrial sources.

UK Annual annual emissions 2, VOCs, 10 and UK EmissionsofofNO NO2, VOCs,PM PM10 andCO CO: NO2, VOC, PM10 PM emissions (kilometers) NO 2, VOC, 10 emissions

Air quality today Nowadays, mathematical models used with monitoring data Air pollutants and sources from 1600 monitoring sites their across the UK predict up until Emissions causing air pollution havedecreasing changed 2025 improvements in air quality and values now considerably since the 1950s. With smoke and SO 2 for major air pollutants. However this is not the case for regulated and a six-fold increase in road traffic between Nitrogen Dioxide (NO2) which currently exceeds the European 1955 and 2001, coal combustion is no longer thepresent main Environmental limits, and Particulate Matters which cause. Instead, motor vehicle emissions have had an a severe concentration in several areas of Greater London. increasing impact on urban air quality.

0 2000 2000

Source: National Atmospheric Emissions Inventory (http://www.naei.org.uk)

SITE INTRODUCTION L AND USE AND ROAD INTEGRATION| GREATER lONDON Given the fact that the major causes of air pollution are vehicle emissions as well as industrial, commercial and domestic emissions, a visualisation of the current land use and traffic network density values gives a more clear view of areas of higher exposure. The level of Integration of the roads of Greater London as represented in the map, illustrates the traffic volume, which also affects the level of pollution created by transportation.

The traffic network density as well as the density of the urban tissue, demonstrate high risk areas which tend to appear towards the Eastern side of the city. This is where the site of interest is located, around the Olympic Park of Stratford. The increased levels of deprivation and low air quality in comparison to other urban areas of London on our site, is partially attributed to the fact that the prevailing winds are westerlies and blowing east. As a result, a considerable amount of various pollution contaminants is transfered through east blowing wind to the eastern areas of London.

Land Use and Spatial Analysis Road Integration | Greater London 0

2 km

Land Use Industrial Commercial Public Space Residential Nature Site Integration R8000m Low

High

Source: Edina Digimap

NO (µg/m3)

NOx (µg/m3)

2016

2009

NO2 (µg/m3)

2016 180,9 μg/m3

2009

2007

129 μg/m3

75,9 μg/m3 36,5 μg/m3

30,8 μg/m3

a ye

41,1 μg/m3

a ye

a ye J

J D months

Nitrogen Dioxide

Nitric Oxide

Nitrogen Oxide

2016

2007

2016

PM 10 (µg/m3)

PM 2.5 (µg/m3)

2016

O3 (µg/m3)

D months

2007

36,9 μg/m3 29,9 μg/m3

46,3 μg/m3

6,8 μg/m3

10,9 μg/m3

D months

Ozone

14,1 μg/m3

Particulate Matter 2.5

Particulate Matter 10

Data Source: London Air | King’s College London

A I R P O L L U T I O N C O N C E N T R AT I O N L E V E L S | G R E AT E R L O N D O N [ 2 0 0 7 - 2 0 1 6 ] A visualisation of the major air pollutants’ values per month from 2007 to 2016 in Greater London demonstrates the fact that despite the European regulations on pollution environmental limits, the concentration has not decreased the past years and some areas of the capital exceed the annual mean NO2 concentration values.

Nitrogen Dioxide Concentration

PM 2.5 Concentration

Pollution Absorption of Trees

Urban Tree Spices

D ATA V I S U A L I S AT I O N O N S I T E

Summer

NE 250 °

SW 35 °

NE 185 °

Autumn NE 220 °

Winter

SW 30 °

W 270 °

Spring SW 25 °

Spring

Autumn S8°

Planar Simulations of Dominant Wind Conditions per Season

W I N D PAT T E R N O N S I T E In order to detect in a more exploratory way the spatial substance of the environmental wind conditions on our site, we use the output of the precedent wind rose diagrams as an input in computational simulations. Two dominant directions and velocity levels of wind per season are simulated in order to generate a more accurate wind pattern.

Wind blowing from the south west generates a more dense wind pattern when it reaches our site due to low building density, and is deformed by the density of the urban infrastructure at the point when it reaches the built environment. Hence, the pattern formed by wind blowing from northeast and west is of lower density in contrast to the one blowing from the other direction.

Right: Overlay of Wind Patterns per Season Data Source: MeteoBlue

Interactions Level 1

T-SNE Algorithm Visualisation of data Interactions

Interactions Level 2

PCA values projected on site

Interactions Level 3

Interactions Level 4

Point cloud representing the level of data interaction High

Low

Interactions Level 5

Urban Context

T-SNE Algorithm Visualisation t-Distributed Stochastic Neighbor Embedding Algorithm, visualises the gradual development of interactions between data values up until they are distributed in subgroups with common levels of interactions and similar characteristics.

Risk Assessment

PCA [Principal Component Analysis]

K-Means Clustering

Filtered high risk values

Areas with highly interactive data

Clustered areas with similar characteristics

Overlaying of Dimensionality Reduction and Risk Assessment Area of intervention High risk areas High interaction a High interaction b Cluster A Cluster B Cluster C

C O M B I N AT I O N O F H I G H R I S K A S S E S S M E N T, PCA AND CLUSTERS By taking into consideration the importance of the human

This gave us as an output the fact that high risk areas are

factor on our site and the impact that high or low Integration

overlapping with the ones where the PCA gave as an output

values

high level of interaction between the data and at the same

filtering our data and overlaying three elements, clustered

time are categorized in between clusters with different

areas

t y p e s o f s i m i l a r i t y.

have with

pollution

similar

concentration,

characteristics,

high

we risk

proceed areas

and

areas with high value of interaction between the imported datasets.

Wind Pattern

Future PM2.5 Increase and PCA Values

RISK ASSESSMENT After using the output of dimensionality reduction and future predicted air quality values, the characteristics of the site of intervention, are narrowed down by specifying different levels of risk assessment. This value derives from an equation including PM2.5 and NO2 concentration, PM2.5 and NO2 absorption, network analysis Integration values and spring windâ&#x20AC;&#x2122;s intensity values. Values describing wind intensity during spring months, are chosen since the precedent wind analysis, demonstrates lowest values around this time of year. Therefore, areas exposed to low wind velocity are more exposed to air pollution, since increasing moisture levels speed up chemical reactions in the air, and prevent pollution contaminants from dispersing and diluting.

Since each of these data values do not have common measurement units, before using them as an input in the risk assessment equation, the data is digitally remapped and normalised under a common ratio. In order to organise our data, a combined data map is generated following a risk equation which compresses all the data throughout the analysis process. The site is divided into a 5x5 grid system, and each value of risk assessment is redistributed on the grid and categorised into three levels which helped us approach our further design in a detailed urban scale.

Risk Assessment Levels Low Risk Medium Risk High Risk

Risk Assessment

Sum of

[PM2.5_Con + PM2.5_Abs + NO2_Con + NO2_Abs + Integration_800 – Spring_wind]

B 130.93

142.22

143.36

148.53

136.77

140.78

129.89

136.48

146.23

145.08

142.22

146.80

155.37

164.56

166.47

153.06

136.83

128.48

157.37

150.78

170.37

172.68

125.84

145.37

150.27

171.98

75.69

78.43

77.55

78.37

87.37

96.47

150.25

141.93

143.08

144.48

153.94

174.67

156.39

144.96

123.58

111.46

150.25

172.67

150.25

C133.55

124.86

150.25

108.96

111.62

150.25

177.23

170.34

171.18

172.04

150.25

144.85

145.98

122.09

123.57

150.25

172.04

153.94

122.56

114.70

150.25

134.09

154.84

127.67

123.59

146.09

135.92

145.45

149.82

160.66

175.59

110.62

133.01

134.99

136.18

145.85

152.49

155.93

1167.36

149.93

150.25

108.47

150.25

153.59

152.15

144.20

145.16

148.38

137.30

111.47

155.99

152.58

148.22

Masterplan of Overall Proposal related to Risk Assessment A

Vertical Filtering

Building Capacity (each) 3355 m2 for Residence 1076 m2 for Filtering Units Lab

Vertical Filtering

Horizontal Filtering

Increased Surface Structures with space for open public uses

Canopies with 7800 Large Units 5974 Small Units Low Risk Medium Risk High Risk

E M E R G E N C E O F V E RT I C A L A N D H O R I Z O N TA L F I LT E R I N G Rethinking the Stratford Metropolitan Masterplanning We proceed in the detected areas with design interventions which are defined by the structural complexity and morphology of natural systems, considered as the basic elements anticipating air pollution. According to the risk assessment levels, we develop design strategies on the horizontal and the vertical sense, and propose filtered public and private spaces being in a permanent dialectic with air toxicity. The site of intervention is included in the area within which the Stratford Metropolitan Masterplan (SMM) (including urban planning interventions such as the Olympic Park) is

proposed and approved in 2011. Future proposals include the establishment of over 20.000 residencies and 1.800 workspaces as well as the expansion of the road network through conventional constructing methods.

Building Capacity (each) Residence: 3355 m2 Filtering Units Lab:1076 m2

7800 Large Units

5974 Small Units

7800 Large Units 5974 Small Units

Projectâ&#x20AC;&#x2122;s Proposal

SMM Proposal

200.000 sqm retail, leisure, education 2.900 sqm residential properties

The current design proposal is enabling the replacement of these future interventions, with the emergence of structures specialised in filtering air pollution and at the same time providing and replacing public and private spaces already proposed in the Stratford Metropolitan Masterplan. The interventions, apart from filtered public spaces, propose 3.355 sm space capacity for residence as well as 1.076 sm space labs where structural details of the design proposal are produced.

DESIGN STRATEGY Generation 0

Generation 1 |Emerging

Generation 2 |Reduction

Generation 3 |Amalgamation

Base Grid(Risk Zones)

Different types of canopies generated according to grid and risk zones

Canopies on the density of the risk zones are preserved as safeguards of the area

Individual structures are merged together by selected anchor points according yo urban context

STRUCTURE PROTOTYPES Prototype 1 Open Space Canopy

Prototype 2 Street Canopy

D E S I G N S T R AT E G Y F O R H O R I Z O N TA L F I LT E R I N G The structural generation of the horizontal filtering system is based on catenary arches. We start by testing different methods which generate different shapes of canopies. By controlling the amount and location of anchor points, we can control the complexity and extent of the catenary filtering structure. As a next step, the structural logic is applied in the urban context. Firstly, the horizontal structure is emerged according to the risk grid, then the density of canopies is reduced by preserving exclusively the ones developed on the edges of the risk zones. In that way, the structure is acting like a filtering safeguard within the public space. As a final step, individual structures are merged together, and the output is reconstructed and adapted in the urban environment.

Prototype 3 Parasitic Structure

Prototype 4 Double Layer

FILTERING UNITS Hexagon Units

Vertical Differential Growth

Developing Process

Steel frame & geotextile fabric

Structure

Coated with seeds and fertilizer

Growth activated by rain and catching dust

Shadow

Filtering Ability

150 Hexagon 80% Luminance

150 Hexagon

Circle Packing

220 Hexagon 70% Luminance

220 Hexagon

Hexagonal Packing

300 Hexagon 65% Luminance

300 Hexagon

Structural Skeleton

440 Hexagon 50% Luminance

440 Hexagon

Canopy Surface

1:1 Filtering Unit Physical Model

D E S I G N S T R AT E G Y F O R V E RT I C A L F I LT E R I N G The structural generation of the vertical filtering system is based on the principles Differential Growth, such as the filtering module of the intervention on the horizontal sense, which is scaled up and applied on a human scale. The generation and further morphological output of the vertical filtering structure, is based on natural growth algorithms since these are considered the most appropriate to engage with the flux of living systems inherent within subnatural zones and produce infinite variations according to local environmental conditions and in situ datasets.

14 12 10 8 6 4 40 2 0

35 5

14 12 10 8 6 4 2

35 5

Risk Assessment

Increased Emerging Structure

Space Filling Curves

Low Risk Medium Risk High Risk

15 30 m. 10

25 0

Space Filling Curves

Planar View of Emerging Structure

T+1

T+20

T+40

T+60

T+140

T+160

T+180

T+200

T+80

T+90

T+100

T+120

T+220

T+240

T+260

T+280

F R A C TA L T Y P E S O F I N T E R V E N T I O N T Y P E A | P U B L I C F I LT E R I N G I N S TA L L AT I O N The emerging vertical filtering is developed under two spatial types of use. Type A is generated in open spaces with high risk assessment values and creates a landscape with its own microclimate, while offering spaces for public uses. The infinite variations created during the digital growth process, provide a variety in the level of complexity which is correlated with the local air quality conditions. Furthermore, NO2 and PM2.5 concentration levels, appear in a density of 100% on the ground level, and decrease by 20% every 3 meters upwards. According to that, the level of complexity of the

space filling fractal and therefore its absorptive performance is reduced per height.

0 35

0 10

30 0

Space Filling Curves

Risk Assessment

Increased Emerging Structure

Low Risk Medium Risk High Risk

35 m.

Space Filling Curves

Planar View of Emerging Structure

T+1

T+20

T+40

T+60

T+80

T+90

T+100

T+140

T+160

T+180

T+200

T+220

T+240

T+260

F R A C TA L T Y P E S O F I N T E R V E N T I O N T YPE B| INTERIOR SPA CE & A CCOMMOD ATION Type B, is emerged within the landscape of the space filling fractals in areas of high risk assessment. This structural type proposes enclosed inhabitable spaces with a spatial capacity of 13.320 sm for residence and 4.304 sm for spaces provided for vertical urban farming and labs producing the filtering space filling modules of the horizontal structures. As mentioned before, the spatial capacity of the buidings is calculated in a way which when expanded as a typology in the context of high risk zones of the broader area,will replace partially the proposal of the Stratford Metropolitan Masterplanning for residential and commercial infrastructure.

45 m.

Organic data driven pattern

Winter

Organic 2D cell arrangement driven by solar radiation values Summer

Winter

Summer

kwh/m2 247.65 222.68 198.12 173.35 148.59 123.82 99.06 74.29 49.53 24.76 <0.00

Attractor Points from High Radiation Values

Annual Solar Radiation Analysis

O R G A N I C D E F O R M AT I O N O F F R A C TA L S The massing of the vertical filtering fractals is organically deformed according to solar radiation values. As a first step we run a solar radiation analysis for each emerging structure and then digitally set attractor points on smaller areas with higher radiation values. The interaction between the attractor points and the pattern development leads to a subdivision of three types of organic cells whose main characteristic is the level of morphological complexity and the amount of available surface. On an already extended space filling structure, the increase of the amount of available surfaces which act as hosts for growth, amplifies their absorptive performance.

Diagrammatic Representation of Solar Radiation driven Organic Deformation

Data Source: Energy Plus

T Y P E BT Y P E B

TYPE A

8 m.

TYPE A

35 m.

6 4

8 m.

5 10

15 20

Cells Type A

35 m.

Cells Type A

Solar > 198.12 kwh/m2 Cells TypeRadiation A

30 15

Lofted

Solar Radiation > 198.12 kwh/m2 8 m.

35 m.

4 8 m.

8 m.

2 0 5 10

15 20

Cells Type B

35 m.

10 30 15

CellsType TypeBB Cells 74.29 kwh/m2 < Solar Radiation < 198.12 kwh/m2 Lofted

74.29 kwh/m2 < Solar Radiation < 198.12 kwh/m2 8 m. 6 4

35 m.

8 m.

2 0 5 10

15 20

10 30 15

Cells Type C 0 kwh/m2 < Solar Radiation > 74.29 kwh/m2

SUBDIVISION OF CELLS 124

35 m.

The space filling vertical structures, are organically deformed in three types of cells according to the local solar radiation values. The available surface increases where the solar radiation is lower and therefore enables the growth of a type of moss specialised in the absorption of air pollutants. This type of moss also presents high resistance and higher growth potential in areas with humidity, increased shadow and low solar radiation.

CellsType TypeCC Cells

0 kwh/m2 < Solar Radiation > 74.29 kwh/m2 Lofted

126

SCHEMATIC DESIGN AND PL ANNING FOR LUXIANGYUAN HISTORICAL AREA

Tongji Architectural Design (Group) Co., Ltd. (TJAD) Shanghai 2016

Planning Aim & Design Strategy

Shanghai, lies on the Yangzi River delta at the point where Chinaâ&#x20AC;&#x2122;s main waterway completes its 5,500-km journey to the Pacific. After the first Opium War, the British named Shanghai a treaty port, opening the city to foreign involvement. Shanghai became an important industrial center and trading port that attracted not only foreign business men but also Chinese migrants from other parts of the country. The city is once again all about business. The city is once again all about business and serves as the most important industrial base in the nation. Today, beauty and charm coexist with ambition and economic growth. From the Old city and the colonial architecture of the former French Concession to the forest of cranes and the neon-lighted highrises jutting above the city, Shanghai is a city of contrasts and consistent change. The district is composed of an area of reconstituted traditional mid-19th century shikumen houses in narrow alleys, some adjoining houses which now serve as book stores, cafes and restaurants, and shopping malls. It is an example of integrating shikumen houses with high rise buildings. The aim of the design is to improve the living of residents, and maintain the human being scale as well as urban fabric in the old town. To integrate the life of old town into the new century.

Culture Centreďź?Entrance Square

Inner Corridor

SITE

Site Location Surrounding

Historical Building Historical building Reserved architecture Building transplant Well preserved architecture

Existing Building Old architecture Modern building conform with traditional style Modern building Mid quality modern building Other building

LUJIAZUI (City Center)

PREOPLEâ&#x20AC;&#x2DC;S SQUARE

SITE

BFC

DONGJIADU

Urban Fabric Historic fabric & New urban superblocks The figure ground plan of the site area shows two very clear urban pattern within the Old City area that couldnâ&#x20AC;&#x2122;t be more different. On the one side there is the century old dense grid of traditional lane houses that are hierarchial and create a very human scale environment. On the other new developments are taking shape within the former old city walls representing a block typology typical for Chinese city planning - the urban superblock.

Historic Fabic

New Urban Superblock

1924 Site History Intersection of past and present. Challenges of integrating the demand for high densities achieved with tall building typologies and the traditional low rise urban fabric that represents a human scale experience. Modern superblocks gradually swallowing the old city fabric.

Old Residential Area Modern Superblock

2010

Image copyright: The Vertical V Old Residential Area Modern Superblock

Site Analysis City Fabric The program of the Old City can be very broadly differentiated into commercial, residential and retail areas. However each of those represents varieties of characters and building typologies. The analysis of the existing site program and its users will show the strength and weaknesses of the site and determine program typologies and allocations in a very systematical way.

Residential Program takes up the largest amount of areas within the site. The Old City does have a very wide range of residential program from small scale low rise Shikumen housing ideal for families to high rise residential for your professionals and first time home owners. What seems â&#x20AC;&#x153;missingâ&#x20AC;? is a typologies that is mid-rise with a varied density to bridge the gap between the traditional Shikumen lane housing and the modern tall building.

Before 1990

Original old Linong Houses 2-3 floors, gated alleys, ground floor workshops, upper floor residential.

After 1990

1930-1990 up to 80m tall building insertion, mainly commerxial program at the gdge of the Old City.

2005-2016 residential tower of 100m replace traditiobal Linong housing within the Old City.

Planning Index: Gross site area(sqm) GFA(sqm) Average FAR(Gross)

Relic & Preserved buildings 87500 138900 1.6

Other historic buildings Existing Buildings Proposed development

Site Analysis B u i l d i n g Ty p e The Old City Wall with its many gates, canals, bridges, gardens and temples are the main elements of the Old City of Shanghai. Some reminiscence of those elements are still very present in the urban fabric of today. They are part of the memory of the city and an integral part of creating a place that has meaning and character.

The aim of the project is to improve the living of residents, and maintain the human being scale as well as urban fabric in the old town. To respire and integrate the life of old town in the new century.

G8 G4 G3 G8

G12

G5 G6 G2

G13

G14

G10 G11

G12

G10

H5 H4 H3 H1

H2 I1 I2

G13 I3 I11

I4 I5

I7 I7

I8 I9

J3 I10

I1,I2,I3

G11

LXY HISTORICAL RENOVATION

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Proposal ф╡иф┐Пр┤грж╝рииу║Нре░снпфЩЦ

֛‫ڥ؁‬Ҹһॱ୿ Inner Corridor ֛‫ޅॲૈ୿ॱڥ؁‬З ⴃԚͫੈଭர௚ⴃԽ ް澞

ް઀‫֫ٺ‬ Plazas ‫֫ٺ‬ОҸһ‫؜‬ ‫ࡴי‬Ԉ‫֫҈ݕ‬ ۱ͫ‫׍‬Ԇ١ࡇ ङՀЊ‫ۅ‬澞

LXY HISTORICAL RENOVATION

ԧԚґ‫ܔ‬ঌऋ ֛‫ڥ؁‬Ҹһॱ୿ৈߣ

BOOK STORE Book Shop ࢒Ս‫ކ‬ԗа‫ڃ‬ РԄ՟ঝ۪؆ߐ ۪‫ކ‬ਫङઔ‫ࡴڇ‬ Ԉͫ⩽‫ږ‬Љգы ৩ு‫ؚ‬澞

㘜ғ㏡ BUDDHIST CixiuTEMPLE Temple ‫يڐ‬Ҁ‫ކݾ‬ԗર ‫׃‬澝аࡣર‫ͫ׃‬ Й‫॑ئ‬Ԛ‫ކ‬ԗࡴ Ԉ澞

ு僈‫ކ‬ԗू९И‫ڶ‬Ճ‫ي‬ௗ澝ԧ١Ԛ‫ކ‬ԗ‫ي‬ௗ GUXIU Guxiu CULTURE Culture CENTRE Centre/ /Exhinibition EXHIBITIONRooms ROOM

Wanzhu Monument MUSEUM Ѕঁդы‫׃‬

Proposal 䵨俏ണ়ਨ㺍॰᭯䙖

Forming a diverse culture centre and allowingv people form different place and ۨОИ‫ֽڶ‬Ԛङ‫ކ‬ԗ߾‫ږ⩽ͫڶ‬Љ background to enjoy the new Luxiangyuan գঝֺ৩ѨՀЊҿИ澞 Garden inside the Old City.

Craft Studios ۴ٗਫ‫ي‬ઃௗ

Luxiang Garden ர௚ⴃ঵‫ھ‬ௗ

Monument

Craft۴ٗਫ‫ي‬ઃௗ Museum

Craft Museum ۴ٗਫ‫ي‬ઃௗ Liyuan Theatre ࠏⴃҸ۱Ճӽ֫ Շ‫ۧۿ‬ӽ‫ކ‬ԗͫР ԄࡴԈࣰչ՟ঝࢦ ӟ澞

Craft Studios ۴ٗਫ‫ي‬ઃௗ Ѯ‫ݮ‬۴ٗਫ‫ކ‬ԗ ङգ‫ͫޞ‬ՕРԄ ՟ঝӲҁર‫ͫ׃‬ ௴ԋ࢕‫ؚ‬ՀЊҿ И澞

LXY HISTORICAL RENOVATION

CHIC Fashion Institution of 3D Printing

Studio: Continuity in Architecture RIBA Part I Year Three (2015) Tutors: John Lee David Cox

Manchester School of Architecture University of Manchester BA Architecture

Studio: Continuity in Architecture BA Architecture Continuity in Architecture at Manchester School of Architecture was established in 1993. It is a studio for teaching and research. It focuses upon the sustainable design of new buildings and public spaces within the historic city and interventions within existing structures.

PROJECT AIM Manchester has a rich industrial heritage and it is used to be the kingdom of clothing making and machinery. However with the declining industrial revolution and commercialisation, Manchester has lost its fame in the fashion industry and innovative technologies. Therefore, the Fashion Institution of 3D Printing is a bridge connecting fashion and technology, which not only inherits the old craftsmanship and textile skill of the old days, but also introduces innovative technologies and avant-garde fashion concepts to the world. The proposal pushes the limits of both fashion and technology and brings back the old Manchester legacy to the community.

Site analysis Brief history about the Little Ireland

Concept Forming

PAST

NOW

Industrial heritage Traditional sewing studio Old-fashioned craftsmanship

Innovative technologies Advanced machinery services Advanced material reserch

3D Printing cloth 3D body scanning Unique fitted cloth Technical support for designers Unique brand

Accommodation Schedule

Sewing studios/ 3D printing and scanning studios

Cafe/Events

Exhibitions/Events

Fashion runway/ Events

Reception/Lobby

-1F

Store/Fitting rooms

-2F

FUNCTION DISTRIBUTION

Consulting rooms/ Meeting rooms/ Plant room

Delivery/Storage/ Plant room

Physical Model In Context Scale 1:200

Model Making Process

Exploded Building Model

Facade Elevation

Facade Detail Section

MAKE Affordable Market and Design Studios

RIBA Part I Year Two (2014) Tutors: James Robertson Urun Kilic Victoria Jolley Manchester School of Architecture University of Manchester BA Architecture

PROJECT AIM The project is located in one of the biggest neighborhood of Manchester, the Levenshulme. Numerous small antique stores , second-hand shops and repair shops gathered in the area. Levenshulme has a highly mixed culture and it is still considered to be one of the most deprived areas of Manchester. Levenshulme has attracted ever-growing numbers of middle class suburbanites who have outgrown the house-share, the apartment and then the tiny terrace and need a house for their new family. As these stores are not usually seen in the central Manchester city, and Levenshulme has rich resources and demand for second-hand markets, this project is aimed to bring a place to the community where vintage and second hand clothing will be redesigned and sold, and a place where sewing and repairing skills can be learned and providing employments. The place turns consumers into providers; makes good use of the local resources; as well as lowers peopleâ&#x20AC;&#x2122;s living cost.

1.Roof Garden 2.Market

Concept SHARING ECONOMY--By building communities around them and turning consumers into providers. This market gives Levenshulme the potential to reboot businesses across the region. Sharing economy as a phenomenon is a class of economic arrangements in which participants mutualize access to products or services. The concept is to make the second-hand resources into a good use, providing more local jobs so people living in Levenshulme donâ&#x20AC;&#x2122;t need to work outside the region.

Ground Floor Plan Scale 1:100 on A1

First Floor Plan Scale 1:100 on A1

Sections Scale 1:100 on A1

Elevations Scale 1:100 on A1

T H E B A M BO O S TAT I O N Yoyu Cup Competition In Bamboo Space Design Competition Project in China, 2015 The Bamboo Station is a semi-opened space located near the way to the Peak Distract National Park. We want to use bamboo, a common natural material traditionally associated with the cultures of Asia and the South Pacific area, to create a space for people to rest while connecting with the beautiful surroundings of the national park. Here is a space full of possibilities, where visitors can enjoy the breeze, a starry night in the summer, a short lunch break from work, a chat with friends and most simply, a sightseeing. It turns the waiting process into a moment of appreciation of nature and opportunities of communication.

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http://1205508010.wixsite.com/ziyiyang

https://issuu.com/ziyiyang2