DIVVY BIKES AND MUSEUM CAMPUSEditor: Lukas Götzlich 1220491

Class: Big Data - Introduction and Data Analytics WS 2015

Instructor: Univ. Prof. Dr. Euro Beinat

TABLE OF CONTENTS

• Idea

• EDA

• Work in ArcGIS Pro

• Work in Tableau

• Conclusion

IDEA

• Pick out one divvy station from a central place of the city like the Museum Campus

• The Museum Campus is a highlight of Chicago many people, mostly tourists join it

• connection to divvy stations:

from where and when are people coming by bike?

is tripduration and distance a limiting factor?

• As the amount of data is high a study area has to be defined

• EDA: in how far are the data suitable?

EDA

• 2013: Data from June until December available

• To work with them columns had to be separated

• Regarded factors available:

- Tripduration

- Routes from station to station

- Dates

- Stoptime at the stations

• Shapefile of divvy stations available important for work in ArcGIS

ARCGIS PRO

Definition of study area:

Assumption:

- within a distance of 1 km around

the museum nobody would go

by bike because it is to near

- A distance higher than 5 km is to

far

light blue area in the circle is the

study area

Stations within the circle belong

to it

ARCGIS PRO

What is the name of

the divvy stations

suitable for analysis?

filter divvy stations

within the study area

Select by Location

tool in ArcGIS

Light blue

highlighted stations

are inside the study

area and suitable

for analysis

TABLEAUDistribution of arrivals in

a period per day

(13/07/01-13/12/31):

Summer month like

July, August and

September receive

high values for arrivals

All 6 or 7 days peaks can be recognized

weekend days:

Saturday and Sunday

Less in the winter month

TABLEAU

Distribution of the arrivals

spread over one whole day

(13/07/01-13/12/31):

Peak at ~ 10.30h and 13.30h

General trend: most people

arrive in the early afternoon

and in the late morning (11h

until 15.30h)

The low point at 12h might

indicate a lunchbreak

TABLEAUOverview of the stations in the

study area and the frequency of

bike tours from a station to the

Museum Campus (not all stations

are shown, but the pattern of the

shown ones is representative for

the others too)

Some stations show a high

frequency like Lake Shore Drive &

Monroe Street

Some stations consist less quantity

of drives like Morgan Street &

18th Street

Somewhere nearly zero travels

are recognized: Morgan Street &

31st Street

TABLEAUQuestion: Has less use to do with long average

tripduration?

Take out randomly stations to check

High usage: Lake Shore Drive & Monroe Street

Millenium Park

Mean usage: Calumet Avenue & 33rd Street

Morgan Street & 18th Street

Less usage: Ashland Avenue & Lake Street

Clark Street & Schiller Street

Answer: yes, but there are some inconsistencies,

because for Clark Street & Schiller Street that has less

use, the average tripduration is a bit lower than for

Morgan Street & 18th Street that has mean usage

Less use and long tripduration might also be a

indicator for stations that are far away from the

Museum Campus

ARCGIS PRO

The six stations from the slide

before are now highlighted in

light blue and labelled in

ArcMap to see where they

are located

Less travel time stations and

high frequent stations are

near (Millenium Park and

Lake Shore Drive & Monroe

Street)

Mean or long travel time

stations are farer away

(Ashland, Clark, Morgan and

Calumet)

CONCLUSION

• People who go by divvy Bike visit the Museum Campus mostly at the weekend

• When they visit it they do this frequently in the late morning or the early afternoon

• There are stations that are high-frequently used and stations that are almost not used

• Reasons for that:

- high tripduration until you reach the Museum Campus

- long travel distance

• 1 Mio. people visit the Museum Campus in a half year

(Source: http://www.visitmuseumcampussouth.com/#!about/c190c)

13.581 do this with divvy bikes, a percentage of 1.4% (all stations were considered, not only the study area)

This might indicate that the bikes are not popular enough especially for tourists