Week 6 Summative Assessment
Information Visualization Parking Space Usage Presentation
DAT 565 – Eliza Rowe
CONTENTS
01
02
03
04
05
06
07
Exam Content
Scenario
Assessment
Rationale & Goals of Project
Project Stats – Quick View
Project Stats – Analysis
Recommendation
01 Exam Content
•
As a city manager for a mid-size city, I must be able to examine patterns and trends to
highlight organizational performance and support organizational strategic planning.
•
One of the ways that is done is through analyzing the statistics.
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Still, just presenting the numbers is not always the most efficient way to present your analysis.
02 Scenario
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I are a city manager for a mid-size city that is anticipating increases in population and auto traffic as new
industries move into the downtown area. Parking spaces are already hard to find and traffic congestion can
be problematic from commuters and events like concerts and sports. Before considering adding additional
parking, I think it is possible to use existing parking more effectively through a smart parking app that
identifies parking space availability in different parking lots throughout the city in real time.
•
In this assessment, I will demonstrate my skill in information visualization when I present my
recommendations to the City Council members who are responsible for deciding whether the city invests in
resources to set in motion the smart parking space app.
03 Assessment Deliverable
Examining patterns & trends to highlight organizational performance & support organizational strategic planning
•
Outline the rationale and goals of the project.
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Analyze the box plot charts showing the occupancy rates for each day of the week and interpret the results.
•
Analyze the box plot charts showing the occupancy rates for each parking lot and interpret the results.
•
Choose 2 scatter plot charts showing occupancy rate against the time of day over the course of the week
and interpret the results.
•
Make a recommendation about continuing with the implementation of this project.
04 Rationale & Goals of Project
Examining daily and weekly patterns & trends for highlighting organizational opportunities to increase performance and
support organizational strategic planning
•
Assess SMART PARKING APP value to the city and its residents
•
Reduce or strive to minimize parking congestion and traffic issues/concerns
•
Recommend alternative options for city parking and city development
05 Project Stats – Quick View
Occupancy Rate, Lot 2
Occupancy Rate, Lot 1
120,0
120,0
100,0
100,0
80,0
80,0
60,0
60,0
40,0
40,0
20,0
20,0
0,0
11.20.22 11.21.22 11.22.22 11.23.22 11.24.22 11.25.22 11.26.22 11.27.22
0,0
11.20.22 11.21.22 11.22.22 11.23.22 11.24.22 11.25.22 11.26.22 11.27.22
06 Occupancy Rates by Day of the Week
Analysis
•
•
•
•
Sunday and Saturday’s median occupancy
rate drops approximately 13% but remains
lower than the weekday median.
During the week, the median occupancy is
almost the same with a 1.1 difference in
median.
Tuesday and Wednesday reach the highest
capacity (93.3 and 93.5), with a .1%
difference.
This is inline with my expectations that the
occupancy rate would be higher during the
working days and normal business days.
06 Occupancy Rate Per Parking Lot
Analysis
•
•
•
•
Occupancy rate per parking lot location,
customer preference or location-based,
reflects the best results for Lot01 and Lot2.
Lot06, Lot03, and Lot05 appear to
experience a higher turn-over than
counterparts Lot04, Lot08, Lot07 and are
impacted by consumerism and/or commuter
or work-parking frequency regularly.
Based on the sample data per
visitor/consumer parked at lots and the time
and occupancy are the variance in the time,
with zero to a few outliers in Lot01 and
Lot02 as seen in the next slide with median
and capacity per lot identified.
The least desirable location or parking lot
per occupancy rate is Lot04, with the lowest
median and preceded by Lot08 and then
Lot03.
06 Occupancy Rate Timestamp Against Parking Lot01
Analysis
•
•
•
Scatter plot chart graph and data set shows
that the occupancy rate shows progressive
occupancy rate via timestamp and parking
lot saturation.
The increasing occupancy that becomes
overly saturated between 10 am - 12 pm
and then begins to decline during the hours
between 1-4pm, with maximum capacity
median around 11 am.
On 11/20/2022, the occupancy rate
increases with time in Lot01 from the lowest
of 20.2% at 8.01 to a peak of 73.8% at 2:01
pm and then starts to falls. At 4:31 pm, the
closing occupancy rate is 55.2%.
Occupancy Rate, Lot 1
120,0
100,0
80,0
60,0
40,0
20,0
0,0
11.20.22 11.21.22 11.22.22 11.23.22 11.24.22 11.25.22 11.26.22 11.27.22
06 Occupancy Rate Timestamp Against Parking Lot02
Analysis
•
•
Overall, saturation for all days typically
begins at 12 pm and then stays steady until
2 pm, then begins to decline during the
hours between 1-4 pm, with a maximum
capacity median around before noon.
The time occupancy rate on 11/20/2022
started at a low of 29.2% at 8:01 am and
increased to a peak of 100% at 12:01 pm.
This means it is fully parked to capacity at
12:01 pm.
Occupancy Rate, Lot 2
120,0
100,0
80,0
60,0
40,0
20,0
0,0
11.20.22 11.21.22 11.22.22 11.23.22 11.24.22 11.25.22 11.26.22 11.27.22
06 Recommendations
•
•
•
•
•
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The city should invest in a parking smart app that will provide
real time information on parking availability on each of the
nine parking lots
Dynamic pricing
Users of the app will be encouraged through incentives
Investing in parking app will improve the parking experience
in the city and reduce congestion
Developing a parking smart app will provide a needed solution
to deal with challenges
Additionally, a parking smart app would be the most costeffective solution as the need to build new parking lots will be
eliminated
THANK YOU