Divvy bike sharing system use analysis with recommendations This was for my final project in Data Analytics course at General Assembly. • Approach: created SQL databases after cleaning raw data, used Tableau for analysis with SQL server and visualization including custom mapping • Findings: recommendations for new station location and sales strategy after analyzing by peak season, user type, day of the week, community areas, and popular stations

1. Use Analysis
Hanbit Choi
and Recommendations

2. # 1 Overview
# 2 Analysis
- Peak season
- User type
- Weekday vs Weekend
- Popular stations
- Community areas
# 3 limitations
# 4 Recommendations
Use Analysis
Agenda

3. Divvy is a bike sharing system operated in Chicago.
It offers two type of service, 24hr pass and annual membership.
Customers should change bike in a dock within 30 mins each to
avoid being charged extra fee.
About Divvy
Use Analysis
and Business Recommendations

4. Use Analysis
and Business Recommendations
I like Divvy! because I learned how to ride a bike with Divvy
although I didn’t have my own bike.
There are 577 stations in service currently
but I experienced that I couldn’t get a bike near the lake
and it happened again in the museum campus area
on the same day.
So I would like to analyze Divvy use and get useful insights.
In addition, I would like to present recommendations for business.

5. # 1 Overview Use Analysis
and Business Recommendations
• Data Resources :
City of Chicago(Chicago data portal), Divvy
• Time frame of data :
Divvy use - 2015 ver, Population by community area (Census) - 2010 ver
• Divvy trip total record in 2015 : 3,183,439
• Community area : 77
• Available Divvy bike stations : 577
For analysis
-Only Q1 & Q2 available for 2016 data, so working on 2015 full dataset
-Created SQL database with 3 tables : Stations, Divvy, and Community
-Figured out relationship between Divvy station and community area
based on polygon custom mapping in Tableau 9.3
-Population level by community is represented by color saturation
-Analyzed data based on “from station” which customers took Divvy bike for trip start
-Subscribers could provide their birth year and gender information

6. In 2015, Summer Season (June to August) accounted for 45.15% of total divvy trip records.
Customers were much more likely to ride Divvy in Summer time.
Avg. trip duration per month
% of total count of
trip_starttime_month
# 2 Analysis - Peak season Use Analysis
and Business Recommendations

7. # 2 Analysis - User type Use Analysis
and Business Recommendations
Male subscribers appeared 1,686,117 times in the dataset but female subscribers showed 567, 351 records only.
People who are in young professional age, such as from mid- twenties to mid – thirties,
used Divvy much more than other generations.

8. total trip duration(seconds)
Avg. trip duration (seconds)
# 2 Analysis - User type Use Analysis
and Business Recommendations
Avg. trip duration of one time customer was longer than subscriber's one
but subscriber's total trip duration was more longer than others type of users.

9. # 2 Analysis - User type / Popular stations Use Analysis
and Business Recommendations
According to top 10 popular stations by user type, Non- subscribers(one time customers and kids) seem that they rode
Divvy along the lake. On the other hand, subscribers rode Divvy in the city area. And top of popular stations for
subscriber were loved much more than top of popular stations for Non- subscribers.
Non-subscribers
Subscriber

10. # 2 Analysis - Weekday vs Weekend / Popular stations Use Analysis
and Business Recommendations
According to top 5 popular stations by day of the week, customers were likely to ride Divvy along the lake on weekend.
weekend
weekday

11. # 2 Analysis - Weekday vs Weekend / Popular stations Use Analysis
and Business Recommendations
weekend
weekday
According to top 5 popular stations by day of the week, customers usually rode Divvy in the city area,
especially, in Near West Side community on weekdays. And why the West Loop, among other neighborhoods in the
community area, specifically?

12. # 2 Analysis – Divvy became a trip mate and a commuting option Use Analysis
and Business Recommendations
On weekend, customers rode Divvy for a longer time than weekdays use.
Therefore, it is assumed that they traveled Chicago along the lake with divvy on weekend and commute for not too far
distance in the downtown area on weekdays. Divvy was used as one of commuting options by mainly subscribers.
total trip duration(seconds)
Avg. trip duration (seconds)

13. # 2 Analysis – Chicago community area Use Analysis
and Business Recommendations
As mentioned,
according to top 5 popular stations by day of the week,
customers usually took Divvy bike from Near West Side community area
on weekdays.
And why the West Loop, among other neighborhoods in the community
area, specifically?
Ogilvie Metra Station
Union Amtrak/ Metra Station
Because…there are Ogilvie and Union Metra station
in the West Loop so people who lived in suburb cities
got off from trains and took Divvy there to go to work.

14. # 2 Analysis – Chicago community area Use Analysis
and Business Recommendations
More bike stations are available in the Loop generally and
Top 10 big stations(47 docks ~ 31 docks) are mostly located
in/near the Loop as well but the West Loop area has only one
big one called Canal St & Adams St which was no.2 among
top 5 popular stations on weekdays.

15. - Divvy data doesn’t provide community area
information for each station location and Tableau 9.3
doesn’t support two sets of latitude & longitude
(stations / community area boundaries) map in a same
view so overlaid two separated maps manually by
exporting as images from Tableau
- Population information by community area based on
2010 census which is the latest census data
# 3 Limitations
Use Analysis
and Business Recommendations

16. Use Analysis
and Business Recommendations
# 4 Recommendations
• New station installing in Near West Side (the West
Loop)
: Especially, near the Metra stations. Although Near
West Side has not a high level of population, there are
big transportation centers, which are Ogilvie and Union,
so many commuters from suburb areas will take and
return Divvy bikes in this area. Also, compared to the
Loop, there are less Divvy docks.
• Divvy - Metra joint pass
: Divvy offers annual membership and Metra offers
monthly pass. Divvy has become a powerful commuting
option so Divvy & Metra joint pass would have
marketability.

17. T H A N K Y O U