CONTENTS
01
Lime Bike-Bus Interplay
01
How and where do people in a small city ride bikeshare? Individual Research and Design, 2021 Site: Ithaca, the United States
02
Cycling Street
08
How can we improve street environment for cycling? Individual Research and Design, 2021 Site: Ithaca, the United States Event Space
03
Smart Chair to Chat
14
How can we attract people back to urban public space? Individual Research and Design, 2021 Site: Harbin, China Control Space
04
From Environment Assessment to Urban Design
19
Urban planning and design of Chongqing Bio-city
"System features are composed in the algorithm, which control the unfold event space."
Intern Works, China Academy of Urban Planning and Design, 2021 Site: Chongqing, China
- Catastrophe Set, Drawn by Joseph McDonald
05
Industrial Heritage Preseravation & Regeneration
20
Urban design of the core aera of Xieziwan Groupwork, Urban Design Competition, 2020 Site: Harbin, China
06
Kallang Master Plan 2070 Iconic, vibrant, connected & timeless sports & cultural hub of Singapore Groupwork, 2022 Site: Kallang, Singapore
21
01 Lime Bike-Bus Interplay How and where do people in a small city ride bikeshare?
Lime Dockless Bikeshare Data Analysis
Public bike as a convenient short-travel way has a deep impact on people’s daily trips. Actually, instead of replacing other ways completely, there are more people combining bikes with other vehicles, especially buses. With deeply researching about this group people, we will give more space construction strategies to improve people’s traveling experience.
Credits: Individual Work, 1 month Tutor: Waishan Qiu Data source: Bike Walk Tompkins, Lime Bike, Tompkins Consolidated Transit Area(TCAT) 01
1. WHY BIKE AND BUILT ENVIRONMENT?
1.2 Traditional bikesharing research
1.1 The significance of bikeshare as a micromobility and complementary to public transit
1.3 New perspective : Combine Bikesharing and Bus Increasing bikesharing using has a positive effect on human body, especially reducing obesity. In traditional ways, people focus on bikesharing's own using features and improve biking street environment in large areas. Instead, a postive relationship between Bikesharing and Riding has been proved by quantatitive analysis based on comprehensive bikesharing and bus volume data. Based on this reletionship, building a more convenient linking space betweent bus-station and bikesharingstation can effectively attract more people to participate in bikesharing.
02
2. QUANTATITIVE CORRELATION VERIFICATION
2.2 Mapping of different variables
2.1 Use linear regression model to explore interrelationship between bike and bus
(a) Bike and bus aspects
After using models to find out aspects that are related to the Lime ridership, I obtain the result: Lime ridership=0.541*Bus-ridership+0.804*Bus-station+1.529*Bike-around-bus-station -0.254*Bike-street-density+2.705*Commercial-density+0.726*Residential-density +1.105*Community-center-density+0.251*Public-service-density(R-squared=0.45) To increase accuracy of the result, I add some other variables besides three Lime using variables. Even though factor number has been increased, The strong correlation between bus using feature and Lime ridership is obvious.
Bus ridership
Bus station
Bike around bus station
Bike street density
Commercial density
Residential density
Recreation density
Community center density
Public service density
(b) Land use aspects
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3. BIKESHARING-BUS LINKAGES 3.1 Bike and bus ridership volume space distribution
3.2 Bike and bus density by time in a day Strong bike-bus linkage is obvious around Cornell Campuse area during AM peak.
Strong bike-bus linkage is obvious around Downtown during day time.
Strong bike-bus linkage is obvious around Downtown and cornell campuse area during PM peak.
Strong bike-bus linkage is obvious around Downtown and cornell campuse area during night time.
According to the whole ridership distribution pattern, bikeshare seems to have been strongly connected to the bus around certain popular bus stops. Furthermore, I filter the Lime rides within the search radius of 300ft of bus stops ,and then I found Lime bike rides and TCAT bus have distinct peak hour patterns based on different time periods patterns, especially in the morning and evening. 04
4. BIKE-BUS USER GROUP IDENTITY
4.2 Travel features of two tpye users
The two chord diagrams provide a representation of the ridership on all neighborhood O-D pairs. Combined with the surrounding land property, I have a general idea of these relevant users. On one hand, First-mile users usually come from these special areas, just like Collegetown, Northside and East Hill, where have more residential buildings, so the assumption that first-mile group has more commuters has been proved. On the other hand, Last-mile users usually bike to Downtown, Cornell Campuse , Fall Greek and West End, where have more commercial retails, community centers and parks. Therefore, most of Last-mile users prefer to meet their entertainment and educating needs.
4.1 Neighborhood Origin-Destination pairs
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5. NEW STREET SECTION TYPOLOGIES FOR BIKE+TRANSIT
5.2 Promotion strategies of biking environment
5.1 Which streets need to be improved According to Lime bike rides volume, all streets are classified to different importance level. The streets which have more Lime bike rideds have higher importance level, which means these streets need to be paid more attention.
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07
02 Cycling Street How can we improve street environment for cycling? Research of street environment factors affecting cycling
In Ithaca, cycling trips spatial distribution has an obvious feature, but in the high cycling vitality area, what factors atrract these people cycling here? Based on comprehensive dataset, can we find these most important factors affecting people's cycling behaviors? And can we set up a new street improvement guideline to make our streets more suitable for cycling?
Credits: Individual Work, 1 month Tutor: Waishan Qiu, Wenjing Li Data Source: Bike Walk Tompkins, Lime Bike, Tompkins Consolidated Transit Area(TCAT), Open Street Map 08
1. RESEARCH FRAMEWORK
Which built environment factors do play important roles behind high cycling vitality?
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2. BUILT ENVIRONMENT FACTORS MAY HAVE EFFECTS ON CYCLING VITALITY 2.1 Road Connectivity
2.2 Land Use and Urban Function Factors
Connectivity measures evaluate the intensity of connections between road segments. A well-connected network has many short links, numerous intersections, and minimal dead-ends providing continuous, direct routes to destination. And this analysis process of road analysis was finished by using sDNA(Spatial Design Network Analysis) tool on Arcgis platform. All roads of Ithaca have reclassified according to their different connectivity levels. They are divided into four levels, higher connectivity values mean higher connectivity. Road connectivity has a great influence on bicycle users’ trips choices, which must be one of most important factors in my analysis.
Based on my first project experience of Lime-Bus Interplay, I have collected five most important types’ poi including commercial, community service, public service, recreation and residential. Cycling users’ distribution pattern has a great relationship with surrounding land attributes distributions. Especially, nearby cycling start points and end points, there may have higher cycling vitality. These distribution patterns of different types of POI are as following. Obviously, different POI have different spatial distribution pattern features.
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3. SUBJECTIVE STREET ENVIRONMENT QUALITY FACTORS 3.1 Randomly select images to be rated to train database
3.2 Two important factors of street environment quality
People perception abount the street environment can be seen as the street environment quality. And measuring the human sense of place and quantifying the connections among the visual features of the built environment that impact the human sense of place have long been of interest to a wide variety of fields. IA data-driven machine learning approach is proposed to measure how people perceive a place in a largescale urban region. A series of statistical analyses was conducted to determine the visual elements that may cause a place to be perceived as different perceptions. In this trainning process, I have randomly selected 400 images on Internet for people to rate.
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4. CORRELATION ANALYSIS RESULTS 4.1 Linear regression analysis results Linear regression model is chosen to test and describe the relationship between cycling vitality and other factors including sidewallk, sky, building, tree,car, person, road connectivity, poi, enclosure, complexity. And I also test others indicactors of street objects, street environment quality which don’t seem to have a obvious impact on cycling vitality. Finally, having a whole simulation of this relation, I obtain the result: Cycling-vitality = 1.204*Road-connectivity + 1.127*Building + 0.759*Sidewalk - 0.701*Sky + 0.358*tree - 0.419*Car + 1.226*Person + 4.280Commercial + 0.640*Complexity + 0.619*Enclosure
4.2 Six important factors of streetscrapes
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5. DATA AUGMENTED DESIGN STRATEGIES
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03 Smart Chair to Chat How can we attract people back to urban public space? Smart chair as an interactive urban furniture
In the period of post-covid19, people have great passion to connect with others. Besides, with the development of technology, people have more requirements for the urban public space and urban furniture. Street chair as an important urban furniture, how can we improve it to attract people back to the physical urban environment? Exactly, it should be more innovative, more interactive and more flexible in the future.
Credits: Individual Work, 1 month Tutor: Xun Liu Tools: Arduino, Rhino, Grasshopper, Adobe Suit, Auto CAD 14
1. WHY WE NEED SMART CHAIR?
2. HOW DOES SMART CHAIR WORK?
1.1 People have great passion to communicate with others During covid-19 period, people spent more time on their electronic devices and obviously had high passion on socializing with their families, friends and even strangers. Daily time spent on the internet in the past year have reached around 7 hours. Besides, based on the report of the world most used apps, apps which are in the catagory of Video Streaming and Social Networking accounted for more than half of the apps download volume. Especially, sharing life and communicating with different people have become inseparable parts of people's life.
1.2 Smart urban furnitures are necessary to cater people’s higher demand With improvement of people life quality, higher demands have appearred when people are using the urban furnitures in urban spaces. Besides, to keep pace with the development of technology, urban furnitures should become more innovative, more flexible and more interactive than before to attract people back to the physical urban environment from the virtual world.
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3. DESIGN OF THE SMART CHAIRE 3.1 Explode Axonometric View
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4. CHAIR ROTATION CHANGING TYPE 4.1 Three Basic Groups of Types
4.2 Imagination of Users’ Behavior in a Special Urabn Context
People can rotate chair’ basic components to any angle (from 0° to 180°) based on their own demands. In the processing of imitating people’s using behavior, I found three groups of different types based on the correlation between the number of users and rotating angle of two different rotation centers. Just like this diagram depicts for us, all changing types in the Single group range are suitable for strangers who prefer to keep themselves alone; changing types in the Couple and Group group range are preferred by two or more acquaintances , they can create their small communicating space flexibly through rotating this chair’s component in a special context.Moreover, Group and Couple types have higher socializing vitality.
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5. EXPERIMENTS & TRIALS 5.1 How to make Rovolving Box easy to revolve? Three revolving box of this installation have the same machine theory and same main structure. So in the process of making physical model, I choose one revolving box to test how to combine this model with Arduino Controlling Board. Besides, this experiment have two significant phases to reach final goal. Before hardware testing, the whole cicuit need to be designed and be connected to the computer where we can import some codes which can execute our designed directives and collect people’s using data. Based on that, I combine these circuits with 3D printed main structure, which can successfully revolve to the designed angles. And I record five importants revolving angles (0°, 60°, 90° , 120°, 180°), just like these pictures.
5.2 Small physical model simulation of alteration types
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04 From Environment Assessment to Urban Design Urban Planning and Design of Chongqing Bio-city 1. Development feasibility evaluation
2. Land form analysis
Project: Master Planning of 50 Square Kilometer Area of Chongqing Bio-City Intern work: Conducted construction suitability evaluation, technical drawing
Project: Urban Design of 4.2 Square Kilometer Core Area of Chongqing Bio-City Intern work: Conducted land form analysis, conceptual design, design with 3D model
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05 Industrial Heritage Preservation & Regeneration Urban Design of The Core Area of Xieziwan in Dalian
Abstract: Based on poi analysis and environment assessment, we found industrial degeneration and environment destruction are two most vital problems to be solved. Therefore, with the mapping of the larger site condition, we proposed that connecting all small green land spaces to supply more public urban infrastructure to cater to the peoples' higher demands, besides, designing more culture and tourism commercial to utilize the negative abandoned industrial spaces attracts more people coming here.
Basic Information
Urban Industrial Ecology Regeneration Renovation Conservation Groupwork: Conducted site condition analysis, conceptual design, drawings Award: The first prize
Environment Analysis
Land Use
Aspect
MSPA
Slope
Mapping of Larger Site Condition
20
1862
06 Alive Hub - Kallang Master Plan 2070
3.5
Iconic, vibrant, connected & timeless sports & cultural hub of Singapore
Abstract: This plan represents a carefully considered and comprehensive approach to urban design, taking into account both functional and aesthetic consideration, and designed to create a sustainable and livable urban environment for both residents and visitors. The two vibrant axis and green corridors will connect all important nodes, public spaces, key transit stations and create continuous facade and walking & cycling spaces. Especially, the connection between old kallang airport heritage site and National Stadium will be enhanced thorough the submerge of Nicoll High way, continuous perdestrain commercial and open spaces.
Kallang MRT Kallang Twin Towers
bridge
Airplane Sculpture
Green Corridor -Start Point Kallang Airport Terminal
Water Sports Center
Mountbatten MRT
2.8 3.5
2.8 4.0
Old Kallang Airport
3.5 4.0
3.5 3.0
1937
Project: Detailed Master Plan of 132 ha of Singapore National Stadium Surrounding Area Groupwork: Data collection & analysis, case study, concept design, techical drawing, modeling Tutor: Tan Shee Tiong, Dzung Do Nguyen, Wilfred Loo, John Achari
4.9
2.8
3.0 1.6
OTHER KEY FEATURES
Setback for green zone within parcel
4.0
1.5
4.0 2.0 Old National Stadium 4.0 4.0
2.1 3.5
3.0 3.0
3.5
4.0
Proposed Master Plan 0
1. Kallang Towers 2. Old Airport Forest 3. Airplane Sculpture 4. Kallang Airport Museum 5. Kallang Amphitheatre 6. Round Way 7. National Stadium 8. Stadium Walk 9. Alive Training Centre 10. Experiential Retail 11. Commerce Alive 12. Alive Waterway (F&B) 13. Lookout Point 14. Singapore Indoor Stadium 15. Stadium Plaza 16. Leisure Park (Mall) + MRT 17. Youth Hub 18. Multi-sports Complex 19. Tennis Centre 20. Outdoor Sports 21. Sports Park 22. Green Corridors 23. Water Sports Centre
250
Alive Hub Massing Model
500m
1
2
3 22 4
5
9 11 10
6
8 11
7 23
National Stadium Alive Square
Stadium MRT
12
bridge
16 19
21
14
22
bridge
22
13
Green Corridor - End Point
Look-out point
20
Outdoor Sports 0
Urban Design Framework
18
17
15
Tanjong Rhu MRT
250
500m
Detailed Master Plan 21