SHUCHANG DONG
CITY PLANNING & ARCHITECTURE Portfolio of Spatial Analysis & Urban Design Selected work 2015-2019
''ABOUT ME SHUCHANG DONG +86 188 6810 9136
db125169@163.com
EDUCATION 2018
to date
University of Pennsylvania, Philadelphia, PA Master of City and Regional Planning
2013 -2018
Zhejiang University, Hangzhou, China Bachelor of Architecture
2016
Aug.-Dec.
Lund University, Lund, Sweden Master of Architecture Student exchange program
INVOLVEMENT 2019
ULI Hines Student Real Estate Competition, Urban Land Institute
2016 2015
Leader of the Eriquette Team of Zhejiang University League Commitee Core member of Photography Department of Qiushi Tide Member of Gemdale Club
2014
Member of the Student Union of Zhejiang University ( ZJUSU )
2016
First-Class Da BeiNong Scholarship Scholarship for Outstanding Students
2015
Second-Class KIN LONG Scholarship by KIN LONG Company Outstanding student leaders of Zhejiang University Scholarship for Merits Scholarship for Outstanding Students
2014
Scholarship for Merits Scholarship for Outstanding Students
2017
DnA_Design and Architecture, Beijing, China Architectual Intern
2017
XD Architects, Beijing, China Architectural Intern
Jan.-Feb.
HONORS & AWARDS
WORK EXPERIENCE
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PART I: SPATIAL ANALYSIS 01 SEATTLE PARKING FACTFINDER
Parking Occupancy Rate Prediction Application
02 SPATIAL RISK MODELING
Crime Predictive Model of City of Chicago
03 SEW-KILL
CONTENTS
Smart CSO Monitoring and Treatment Installation
PART II: ARCHITECTURAL DESIGN 04 VOYAGE
Student Entrepreneurship Office design
05 LUCID CITY
Future work space design
06ADDITIONAL WORKS
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Seattle Parking FactFinder
Parking Occupancy Rates Prediction Application
Introduction Seattle is currently facing a challenge of oversupply of parking spaces. Complaints have been made by local residents stating that the amount of available parking spaces is in excess of the actual need. City planners should consider the complaints related to excess parking when making plans for a neighborhood or for the city as a whole. Currently, there is no convenient way for planners to know how the parking requirements change when a certain area’s land use changes. Neither is there a way for planners to know which area local residents generally consider as having an oversupply of parking spaces. The Seattle Parking FactFinder application is designed to meet this challenge by predicting the occupancy rates for different land uses taking into account rush (peak) hour. (check out this video: https://youtu.be/GVThyQMAhxM for full presentation of the app.) Annual Average Occupancy Rate by Land Use Type
Study Area Locations in Seattle
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Seattle Parking FactFinder: Parking Occupancy Rate Prediction Application
User Case The current app is designed for a smart phone. However, the flow of the app will work well for a desktop application as well. There are two target user groups: city residents and planners. Users can set up their identification as residents or planners in the opening page. For city residents: 1. Find out current predicted occupancy rate of a street segment. 2. Compare occupancy rate during different time period to find out whether the street segment is over supplying parking space. For city planners: 1. Find out current predicted occupancy rate of a street segment. 2. See what-if prediction of the occupancy rate based on a required land use type. 3. Decide whether to make a change.
Work Flow
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Seattle Parking FactFinder: Parking Occupancy Rate Prediction Application
Exploratory Data Analysis As part of the exploratory data analysis, the relationships between different variables in the datasets downloaded were examined. Since the prediction is based on whether the occupancy rates change with land-use changes, built environment variables were mainly considered for the analysis. From the maps it can be seen that the areas with taller building seem to have fewer street parking spaces. The smaller the height of the building and greater the availability of street parking. Moreover, census tracts with high car ownership seem to be clustered in the downtown area. Finally, most of the land-use by street segment in the downtown area relates to commercial/business land-use type.
Exploratory Data Analysis Mapping
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Seattle Parking FactFinder: Parking Occupancy Rate Prediction Application
Scatterplot of the Relationship between Dependent Variable and Explanatory Variables
Correlation Matrix The correlation matrix of the continuous explanatory variables show that most of the variables are not severely correlated with each other. However, there seems to be some correlation between car-ownership (by census tract) and building height. This validates what was found when examining the maps of these variables i.e., carownership and tall buildings are concentrated in the downtown area.
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Seattle Parking FactFinder: Parking Occupancy Rate Prediction Application
Regression Results The Ordinary Least Squares (OLS) method was used to run the regression analysis. The dependent variable (occupancy rate) and one of the explanatory variables (average building height) were log-transformed since it helped make their distributions more normal.
Results Interpretation The model has a low MAE and MAPE value and the residuals are relatively not that clustered. Zoning code and neighborhood classification were one of the many variables considered as predictors in this model. These variables helped improve the accuracy of the fit (the R-square was 0.49). However, the model could not be generalized. The parking data available covers only few parts of Seattle and not the whole city. Therefore, performing cross validations was a challenge since both these variables are categorical variables with too many levels. However, despite its lack of generalizability this model was still run since the current app is very specific to Seattle.
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Seattle Parking FactFinder: Parking Occupancy Rate Prediction Application
Spatial Cross-validation
The results of the spatial cross validation show that the model is not doing a good job of being generalizable over different land-use types. Aside from the results shown above, several other zoning sub-groupings and spatial regressions had been performed earlier. One such grouping involved combining neighborhood classification with the zoning classification system - for instance, Downtown and mixed-use. When spatial cross validation was performed using this grouping system, the error for mixed use and Downtown was very low but for industrial it was very high. This is because, there aren’t enough neighborhoods in the study area to perform spatial cross-validation effectively.
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Spatial Risk Modeling
Crime Predictive Model of City of Chicago
Introduction Crime is a relatively rare event and it may be happening at a greater rate than what we observe in the data, by predicting this risk we may be able to create a tool that Police can use to more efficiently allocate their limited resources. First let's map out the current crime points. We can get a better sense for the spatial distribution and prepare the data for our regression by aggregating the point data to the “fishnet” - a lattice grid of polygons that we will use to define “place” in our analysis. Fishnet
Crime Points Joined to Fishnet
Data Wrangling & Exploratory Mapping I downloaded exploratory data from the Chicago Open Data site, and join them with the fishnet. Finally I got a data set with all the variables.
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Spatial Risk Modeling: Crime Predictive Model of City of Chicago
The Poisson Distribution The distribution of crime counts, as well as it's correlation with the independent variables, like many phenomena in the world is non-linear. It is because crime is a rare event. In this case it’s Poisson. We will build the model with Poisson Regression.
After run the regression, let’s create standardized regression coefficients, which puts them all the same scale. We can do this to get a better understanding of which variables play a role in predicting crime.
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Spatial Risk Modeling: Crime Predictive Model of City of Chicago
Standardized coefficients The histogram of standardized coefficients tells us which variable is most important in predicting crimes. Obviously it is the distance to other crime points.
Mapping predictions The histogram of standardized coefficients tells us which variable is most important in predicting crimes. Obviously it is the distance to other crime points.
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Spatial Risk Modeling: Crime Predictive Model of City of Chicago
Accessing Goodness of Fit We can easily calculate Mean Absolute Error. The MAE is around 3, which means our model in total has a mean absolute error of 3. We can also calculate it by districts.
Compare risk predictions to Kernel Density By comparing the predicted values to kernel density estimates in different breaks, we could know how close our prediction is to the real situation in terms of different risk levels. In this model, our predicted risk is approximately similar to the kernel density, doing best at a risk level of 70%-89%. (risk level means how likely there are crimes in this area).
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Sew-kill
Smart CSO Monitoring and Treatment Installation
Introduction Combined Sewer Overflows (CSO) occur when rain overwhelms combined sewer systems leading to untreated sewage entering rivers. This can make the water unsafe for human contact and harms aquatic organism health. The Schuylkill River in Philadelphia has been impacted by CSO problems. Despite the Green City Clean Water program that began in 2011 to build green stormwater infrastructure in Philadelphia, the segment of the Schuylkill River that runs through Center City has not seen any reduction in overflow volume, frequency, or duration. Because of this we believe we should try to treat the outflows in the river through smart floating wetlands. The initial focus area for the project is the riverbank next to the Schuylkill River Park and Schuylkill Banks Boardwalk.
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Sew-kill: Smart CSO Monitoring and Treatment Installation
Prototype Concept In the real world, the prototype will be arranged as modular units. Each unit will have the power source/controller basin in the center and multiple vegetation basins will surround the controller basin. The filtration door in rhe center adds resistance to the CSO water flow which in turn helps slow down the flow speed.
Concept Flow Diagram
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Sew-kill: Smart CSO Monitoring and Treatment Installation
Prototype Structure Illustration Plant Foam & Supporting Grid LED Circle Supporting Mesh Active Carbon Shaft Shaft Filtration Door Supporting Mesh Aeration Bottom
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Sew-kill: Smart CSO Monitoring and Treatment Installation
Rendering
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PART II: ARCHITEC
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CTURE PORTFOLIO
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VOYAGE 11/2015-1/2016, 8-week studio work Mentor: Yue Wu Group work Individual rework This is a reconstruction project to transform a structural lab located in Yuquan Campus of Zhejiang University into a student startup center. This project is named after "Voyage" in hopes of that this place would be a ship which contains the dream of the young entrepreneurs and set their sail.
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Zhejiang University, one of the universities that have the highest entrepreneurial rate in China, offering numerous start-up platforms and incubators for student entrepreneurs.
FITTING OUT // RENOVATION
Yuquan Campus where the science and engineering faculty locates, is the most historical campus of Zhejiang University. In the central part of the campus stand a group of buildings that are originally built in the 1950s. The structural lab locates in the right part of the central area. However due to the removal of the College of Architecture and Civil engineering, this lab becomes unused gradually.
Removable & Recycling Containers
To introduce a place to help the students get start, I transformed this structural lab into a bright, colorful start-up center, which is distinguished from its historical surroundings. It represents for the young and courage. I hope it will be a ship containing the dream of the young entrepreneurs and sailing to the distance.
Let's book it!
I can see the ad.
Ads-wall facade which drawing attention
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With different combination of the containers, the offices in this building is modular and could be installed on site. From 2-people group to 10-people orgnization, different demand could be met by the flexible combination of containers.
20' Container Office for 2-3 members group with one office and one bed.
The exhibition hall in between the two parts is the place where people hold various kinds of activities. The inner corridor helps to enhance the interaction of people on each floor.
Single Container Office Single Container Office Double Container Office Double Container Office Trinal Container Office Trinal Container Office Cafe and Retail Shops Cafe and Retail Shops
Single Container Office Single Container Office Single Container Container Office Office Single Double Container Office Double Container Office Double Container Container Office Office Double Trinal Container Office Trinal Container Office Trinal Container Office Trinal Container Office Cafe and Retail Shops Cafe and Retail Shops Cafe Cafe and and Retail Retail Shops Shops
up
up
up
up
up up up up
up
Hall Hall Hall Hall
up
Double 20' Container Office for 5-6 members group with an office, a meeting room and a bedroom.
Exhibition Hall
Entrance
Exhibition Hall
Entrance
Entrance Entrance Entrance Entrance
Trinal 20' Container Office for 5-6 members group with two offices, a meeting room and inner stairs.
Ground Floor Plan
down up down up
down down down down
down
up
down
up
down
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down
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up up up up
40' Container corridor linking the two sides.
Second Floor Plan
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Perspectiv Perspective
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ve Section e Section
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CONCEPT POSTER
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LUCID CITY 3/2017 - 6/2017 Joint Studio with Cornell University Group Members: Shuchang Dong (group leader)\Sukruti Gupta\Manisha Rayaprolu\Lulu Liang\Xiaoyu Yang Mentor : Yue Wu, Ying Hua The imagination of future cities has been a most abundant source of fantasy for human kinds. Nowadays, we find ourselves in such a fast-paced era where every microscopic detail is subject to evolution at unexpected rates: the 'Internet Plus' (Industry 4.0) has altered people's way of consumption and living. What will the urban space in Hangzhou evolve? How will the working mode and lifestyle be like? This project is our response. Drawings not produced by me will be marked "*".
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Hangzhou West Corridor for Technology & Innovation
Hangzhou is one of the most vibrant metropolises in China. Thanks to the success of a group of innovative companies headed by Alibaba and the evolution of Chinese cities. The site chosen for this studio locates in the so-called "the Future Sci-Tech City", which is a central part of the "West Corridor for Technology & Innovation". There is a high expectation on realizing the tremendous potential of the site. Hangzhou West Corridor for Technology & Innovation, part of the overall urban planning structure for Future-science Area of Hangzhou City is located in the western part of Hangzhou. Along the corridor, there are a number of universities and research institutes, where talents gather together as Alibaba, Zhejiang Overseas High-level Talents Innovation Park and “The Dream Town� are rooting in this place. Abundant talents and enterprises
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STRATEGES
orginally edited by Sukruti, reproduced by me
BACKGROUNDS Right now 34% of the Chinese people in urban areas use the e-commerce,while the number in rural areas is only 9%. The urban migration trend in China is on the other hand going to exacerbate the inequality of opportunities in different area. People in remote area have less access to promote their product. The housing price in the city center is however not affordable for new enterpreneurs to rent at the beginning.
STRATEGIES Under the help of e-commerce platform, digital markets help to bring numerous small businesses. Build up an e-platform system to attract business and investment in rural, remote areas as a way of achieving social equity. Build up a hub in the city for remote enterpreneurs to get start -- find partners and investors, have incubators to make their products into mature industry. The hub is for short term start-up period, but still available online after they go back.
GOALS Reducing theTHE Urban-Rural Divide: REDUCING URBAN-RURAL Urban hub(assisting facility) DIVIDEsupport ďźšUrban support hub for for remote locations. remote locations. Redistribution of Profits: Social Equity. Workplace as enabler of expedited
: Workplace as SOCIAL profitableEQUITY interactions. enabler of expedited profitable Physical and Virtual Links: Space as interactions. facilitator of links between remote workplace, e-commerce platform and industry network.
REPLACING THE FILTERS : Space as faciliators of links between A place which focuses on the enterpreneurs, e-commerce current while still faces the future. and industry. Innovation space features that remain Hangzhou characteristics.
A NEW HUB FOR REMOTE ENTERPRENEURS
REQUIREMENT IN SPACE & INNOVATION
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PLATFORM
PLATFORM
H
PLATFORM
Cognitive thinking & Collaborative learning
Workshops & Studios
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C
Form Generation through network platform approach
PLATFORM
Exhibition & Experience
Hospitality & Apartment
S
PLATFORM
Supporting Services & Storage houses
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Zhejiang Normal University Zhejiang Normal University Cangqian Campus of Zhejiang Normal Uni
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Zhejiang Sci-Tech Zhejiang Sci-Tech University University Right across to the site lies
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Cangqian Campus of resource Zhejiang for Normal Uni versity, another talent this area. versity, another talent resource for this area. -
Right across and to the lies the science artsite college
Zhejiang Normal University
Zhejiang Sci-Tech the science andart college of Zhejiang Sci-Tech University. University of Zhejiang Sci-Tech A talents resource in University. this area.
Cangqian Campus of Zhejiang Normal Uni versity, another talent resource for this area. -
Right across to theresource site lies in this area. A talents the science andart college of Zhejiang Sci-Tech University. A talents resource in this area.
SITE SITE SITE
ZOTP ZOTP
ZOTP AnotherAnother part ofpart ZOTP, whichwhich his maily of ZOTP, his maily Another ofZhejiang ZOTP, which hisGroup, maily for the part Zhejiang Energy Group, oneone for the Energy for the Zhejiang Energy Group, one of the largest and most productive of the largest and most productive of the largest and most productive energy company in China energy company in China energy company in China
ZOTP ZOTP ZOTP
Zhejiang Overseas Talent Park Zhejiang Overseas Talent Park is -an is an Zhejiang Overseas Talent Park isinan in entrepreneurial innovation highland entrepreneurial innovation highland entrepreneurial innovation highland in Hangzhou, gathering overseas high Hangzhou, gathering overseas high level level Hangzhou, gathering overseas high level talents. talents.
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talents.
The original site
Introduced water into this site
Function platforms that form a new order
Plazas that define the Space nodes
Alibaba Alibaba Alibaba
The headquarters of one Alibaba, one of The headquarters of Alibaba, of The headquarters ofand Alibaba, one of the most influential successful the most influential and successful mostcompanies influential successful Internet in China. Internetthe companies in China.and Internet companies in China.
Road Reference from the surroundings
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Secondary plazas that link the outside
CONCEPT DESIGN
“The person who I miss is somewhere beyond the water.� This is an old Chinese poem that sings for dreaming lover. Similarly, this park is also an idealization work place for people living in the surburb of Hangzhou. To them, this is a dream place where unequity and social filters are removed, only inspiration and collaboration remain. This place should be distinguished from its surroundings. Celadon, one of the most famous name cards of Zhejiang, is a kind of common vessel used in almost every household in Hangzhou. We choose it as our design icon in hope of remaining its physical qualities meanwhile making this area presenting a romantic Hangzhou style.
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The height of the buildings is falling by several steps from the inland to the river side. Each bottle works as a function platform (see previous page), jointly working as a whole system. We try to make the system behind this park both clear and transparent, which we think will promise high efficiency. And that is why we call it "lucid city".
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SITE PLAN
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food square
bar square
amusement square
BASEMENT FLOOR PLAN
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2 3 4
Renderings 1. Amusement Plaza 2. Etrance Plaza 3. Boating in the park 4. Floating Shops Along the Street
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ADDITIONAL WORKS
Watercolour Painting 2014
Opaque Watercolour Painting 2015
Wooden Model for Chinese Traditional Pavilion 2015
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Pen-and-ink Sketch 2015
Pen-and-ink Sketch 2016
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THANK YOU.