1. Shanghai’s Crowded Housing Market: Unveiling migrant housing needs
Annette M. Kim, Julia G. Harten
Associate Professor Ph.D. Student
University of Southern California, USA

2. Rapid urbanization = migration
But public housing policies do not have a full accounting of
migrants’ housing situation.

3. Crowded Housing Around the World:
coping with an unaffordable housing market
East London, Oct 2015
Hollywood, March 2016
Since then, moved away from remote sensing technology because what needed better investigation was the institutional changes that were occuring behind the physical transformation
Melbourne, April 2015
University Park LA, March 2016
Photos: The Guardian, ABC Melbourne, Craigslist

4. Residential Crowding in China
Symptom of discriminatory institutions?
Since then, moved away from remote sensing technology because what needed better investigation was the institutional changes that were occuring behind the physical transformation
Photo: Society for Community Organizations, HK

5. Getting data directly from the market: scraping internet ads of
Shanghai’s market for beds
in a room full of beds
Ads have been geocoded already: location is a big determinant of value
Say how crowded the rooms are: people in a room
Mentions gender:
Who the landlords are targeting:
Since then, moved away from remote sensing technology because what needed better investigation was the institutional changes that were occuring behind the physical transformation
Initial scrape February 2016, n = 3020

6. Significance of this study:
(1) Locating an overlooked housing sub-market: crowded housing market
(2) Revealed housing preferences of lower income migrants

7. Mapping the location of Shanghai’s rental crowded housing market

8. share a room in this market?
How many people
share a room in this market?
Number of people
in a bedroom
% of ads 2
346 4
1179 6
1280 8
946 10
296
Since then, moved away from remote sensing technology because what needed better investigation was the institutional changes that were occuring behind the physical transformation
n =1424

9. How the market prices the level of crowding in a room
Price per Bed Space
Number of people in room
Median rent for bed in Yuan
In USD 2
1000
154 4
600 92 6
500 77 8
400 62
Since then, moved away from remote sensing technology because what needed better investigation was the institutional changes that were occuring behind the physical transformation
n =1424

10. Overall level of crowding: roughly 18 people in an apartment
Housing characteristics
median
min
max n
Number of bedrooms 3 1 9
1374
Number of living rooms 2 4
1057
Number of bathrooms
1311
Apartment size (sqm)
145 10
2500
1365
Since then, moved away from remote sensing technology because what needed better investigation was the institutional changes that were occuring behind the physical transformation
Amenities: bed, wardrobe, water heater, washing machine, refrigerator, internet, sofa, TV, AC, heating

11. Seller’s market: Target of this sub-market:
Young workers who don’t have hukou
Desired tenant characteristics
Chinese term n
Looking for a job
求组, 找工作
185
Currently employed/
in training
上班, 培训
383
Student
学生, 学习, 毕业
746
“Young”
年轻人, 青年人 42
Age restriction (<30-35)
172
White collar worker 白领
180 ID
身份证
284
“Newcomer”
刚来上海 48
Unwanted traits
酗酒, 赌博, 打闹
109
Since then, moved away from remote sensing technology because what needed better investigation was the institutional changes that were occuring behind the physical transformation

12. Gender Hypothesis to test:
Do women pay a different price for crowded housing?
Since then, moved away from remote sensing technology because what needed better investigation was the institutional changes that were occuring behind the physical transformation
Gender restrictions
on rooms n
Female only
254
Male only
300
Both
2447
n = 3020

13. Quantifying the revealed preference for central city location

14. Better located than public housing
Another migrant housing sub-market: Beijing’s underground
Demand for central city location

15. University of Southern California, USA
Thank You
Annette M. Kim, Julia G. Harten
Associate Professor Ph.D. Student
University of Southern California, USA