Podil facts

Until now, the first and the only Census conducted in Ukraine was in 2001. Due to the absence of government agencies, Ukraine is lack of actual data, which can tell the country’s socio-demographic characteristics. The need of the data allows this study to seek alternative compensation for this data gap. In this way, the information decoded from different informal social media platforms can tell how people actually use their urban space (user, location, time and duration, activity type, frequency, etc.), which provide a lens to mine the value (either to preserve the postindustrial heritage as social activity containers, or to reprogram it according to user’s actual need) of the Podil post-industrial area.

The study intends to create visualization to summary Podil people’s collective profile from Facebook, to map people’s activity with the geolocations, to find the places in Podil that have the greatest potential to create social venue.


a
Project Type
Data Visualization

Role

Data Management, Analysis, Visualization and Design, Storytelling

Year
2018

b
1. First, we studied the neighborhood structure of Podil
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2. This is the gender distribution
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3. With the marital status analysis
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4. How they are geographically located?
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5. Where are they come from?
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6. How many schools have they attended?
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7. What’s the advanced education situation in Podil?
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8. How many jobs have they done?
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9. What are they actually doing?


This part of the study used the data provided by Booking.com, TripAdvisor, Google Review, and Flickr in order to study and summarize Podil people’s living, eating and playing behavior in the district, with specific geolocation information. The final report includes future urban design strategy and tourism route planning recommendation.

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1. Hotel distribution of the Podil
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2. Spatial analysis of hotel distribution of the Podil – the major big hotels are at the boundary of Podil district as well as Kontraktova Square
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3. Hostel distribution of the Podil
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4. Spatial analysis of hostel distribution of the Podil – they have an average service radius at the block scale
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5. Restaurant distribution of the Podil
p
6. Spatial analysis of restaurant distribution of the Podil – a potential food street
q
7. POI (Place of interest) distribution of the Podil
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8. POI visit frequency distribution of the Podil
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9. POI rank of the Podil
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10. Podil’s eating, sleeping and playing analysis overlapping
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11. The recommendation of future tourism path