[Audio] Smart Parking Application Project
WEEK 6 APPLY: SMART PARKING APP PRESENTATION UNIVERSIT Y OF PHOENIX COURSE - DATA 565 AMY CHAPLIN MARCH 21,2022. 

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Smart
Parking
Application
Project
WEEK 6 APPLY:
SMART PARKING APP
PRESENTATION
UNIVERSITY OF PHOENIX
COURSE - DATA 565
AMY CHAPLIN
MARCH 21,2022

UNIVERSIT Y OF PHOENIX 
COURSE - DATA 565

[Audio] Presentation Contents: PARKING PROJECT OVERVIEW
PROJECTIONS & ANALYSIS
PROJECT RECOMMENDATION. 

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[Audio] Parking Project Overview & Investment Goals
• Overview: Many US cities are plagued with frustrating parking problems, our city included. In the last few years, we have seen a dramatic impact of higher traffic congestion and lack of parking throughout many of our city parking lots.
• What To Do: Implement a real-time parking application
• Why: Lower traffic congestion, provide real-time parking availability, easy movement around city streets. 

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Parking Project Overview 
& Investment Goals

• Overview: Many US cities are plagued with

frustrating parking problems, our city included. In 
the last few years, we have seen a dramatic 
impact of higher traffic congestion and lack of 
parking throughout many of our city parking lots.

• What To Do: Implement a real-time parking

• Why: Lower  traffic congestion, provide real-time

parking availability, easy movement around city 
streets

[Audio] Background to Parking Issue
How Did This Happen:
➢ Miscalculation of space requirements during the planning phases of the city
➢ Parking space shortage
➢Higher traffic volume
What To Do:
Analyzing statistical trends like: parking cycles over a specific period, parking volumes on certain days, and particular lots overfilled to understand the impact of these variables and draw conclusions about the data presented.. 

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➢Miscalculation of space requirements during 
the planning phases of the city

Analyzing statistical trends like: parking cycles 
over a specific period, parking volumes on 
certain days, and particular lots overfilled to 
understand the impact of these variables and 
draw conclusions about the data presented.

[Audio] PARKING PROJECT ANALYSIS & PROJECTIONS
In the following section, analysis and projections for parking within the city supports a smart parking application's implantation through various charts and visual aids, including the following data.
• Occupancy rates for each day of the week
• Occupancy rates for each parking lot to be utilized within the city
• Data presented to show the correlation between occupancy rates vs. time of day for selected lots. 

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In the following section, analysis and projections for parking within 
the city supports a smart parking application's implantation through

various charts and visual aids, including the following data.

•Occupancy rates for each day of the week

•Occupancy  rates for each parking lot to be utilized within the city

•Data presented to show the correlation between occupancy rates 
vs. time of day for selected lots

[Audio] Occupancy Rates for Each Day of the Week 20.7[break]% 46.2[ break]% 50.2[break]% 53.4[break]% 53.0[break]% 53.6[break]% 28.0[break]% 19.7[break]% 25.6[break]% 23.7[break]% 21.7[break]% 22.8[break]% 18.2[break]% 24.7[break]% 26.0[break]% 17.4[break]% 19.5[break]%
18.2[break]% 16.8[break]% 13.0[break]% 21.0[break]% 0.0[break]% 20.0[break]% 40.0[break]% 60.0[break]% 80.0[break]% 100.0[break]% 120.0[break]%
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Daily Occupancy Rate Box and Whisker Plot. 

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Occupancy 
Rates for 
Each Day of 
the Week 
20.7%
46.2%
50.2%
53.4%
53.0%
53.6%
28.0%
19.7%
25.6%
23.7%
21.7%
22.8%
18.2%
24.7%
26.0%
17.4%
19.5%
18.2%
16.8%
13.0%
21.0%
0.0%
20.0%
40.0%
60.0%
80.0%
100.0%
120.0%
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Daily Occupancy Rate 
-
Box and Whisker Plot

[Audio] Occupancy Rates for Each Day of the Week Interpretation Results
❖Higher volume in parking lots on weekdays Conclusion: Most likely due to influx of workers commuting to the city
❖Weekend volume trends down Friday through Sunday
Conclusion: Friday tends to show more parked cars due to leisure or after work activities, Sunday shows the least volume throughout the weekend.. 

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Occupancy Rates for 
Each Day of the Week 
Interpretation Results

❖Higher volume in parking lots on weekdays

Conclusion: Most likely due to influx of workers 
commuting to the city

❖Weekend volume trends down Friday through 
Sunday

Conclusion: Friday tends to show more parked cars 
due to leisure or after work activities, Sunday 
shows the least volume throughout the weekend.

[Audio] Occupancy Rates for Each Parking Lot 0.0[break]% 20.0[break]% 40.0[break]% 60.0[ break]% 80.0[break]% 100.0[break]% 120.0[break]% Lot01
Lot02 Lot03 Lot04 Lot05
Lot06 Lot07 Lot08
Lot09. 

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Occupancy Rates for Each 
Parking Lot
0.0%
20.0%
40.0%
60.0%
80.0%
100.0%
120.0%
Lot01
Lot02
Lot03
Lot04
Lot05
Lot06
Lot07
Lot08
Lot09

[Audio] Occupancy Rates for Each Parking Lot Interpretation Results
• Occupancy Rates Fluctuate hourly and daily
• Morning Hours Present Higher Volume • Working Hours Trend Higher Volume • After 5pm Weekday Volume Drops • Weekends Tend Less Volume Over all. 

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Occupancy Rates for 
Each Parking Lot 
Interpretation  Results

• Morning Hours Present Higher Volume 
• Working Hours Trend Higher Volume 
• After 5pm Weekday Volume Drops 
• Weekends Tend Less Volume Over all

[Audio] Occupancy Rates vs. Time of Day y = 0.0131x + 0.5077
R² = 0.2634 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
0 2 4 6 8 10 12 14 16 18
20
Average of Occupancy Rate - Lot 5 Average of Occupancy Rate - Lot 6 Linear (Average of Occupancy Rate - Lot 6) y = 0.0215x + 0.4434
R² = 0.163 y = 0.0215x + 0.4434
R² = 0.163 0.00[break]% 20.00[ break]% 40.00[break]% 60.00[break]% 80.00[break]% 100.00[break]% 120.00[break]%
0 5
10 15 20
Occupancy Rate - Lot 5
Occupancy Rate - Lot 6
Linear ( Occupancy Rate - Lot 5)
Linear (Occupancy Rate - Lot 5). 

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Occupancy Rates vs. Time of Day 
y = 0.0131x + 0.5077
R² = 0.2634
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
0
2
4
6
8
10
12
14
16
18
20
Average of Occupancy Rate - Lot 5
Average of Occupancy Rate - Lot 6
Linear (Average of Occupancy Rate - Lot 6)
y = 0.0215x + 0.4434
R² = 0.163
y = 0.0215x + 0.4434
R² = 0.163
0.00%
20.00%
40.00%
60.00%
80.00%
100.00%
120.00%
0
5
10
15
20
Occupancy Rate - Lot 5
Occupancy Rate - Lot 6
Linear (Occupancy Rate - Lot 5)
Linear (Occupancy Rate - Lot 5)

[Audio] Occupancy Rates vs. Time of Day Interpretation Results
•Both lots present a decline after 15 on the x-axis
•Lot six shows both declines after 15 yet, a sharp uptrend after 18
•Both lots offer low occupancy on Saturday and Sunday
•Both lots show lower volume after working hours in the evening during the week
•All data concludes the expectations to support a smart parking application within the city. 

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Occupancy Rates vs. 
Time of Day
Interpretation Results

•Both lots present a decline after 15 on the x-axis
•Lot six shows both declines after 15 yet, a sharp 
uptrend after 18
•Both lots offer low occupancy on Saturday and 
Sunday
•Both lots show lower volume after working hours in 
the evening during the week
•All data concludes the expectations to support a 
smart parking application within the city

[Audio] Project Recommendations
❖Adopt new technology that will enable residents and city guests to find available parking spaces in real-time.
❖ More parking could help lessen the parking lot overcrowding and overflow congestion down narrow city streets. Now that the data concludes, some city areas are in higher demand than others. ❖Signage for the city parking smart app service should be visible around the city.
❖The Smart Parking App program will help ensure city funding is appropriately utilized for a need to create a higher quality city environment for residents, the working commuter class, and city guests.. 

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❖Adopt new technology that will enable residents and city guests to 
find available parking spaces in real-time.

❖ More parking could help lessen the parking lot overcrowding and 
overflow congestion down narrow city streets. Now that the data 
concludes, some city areas are in higher demand than others.

❖Signage for the city parking smart app service should be visible 
around the city.

❖The Smart Parking App program will help ensure city funding is 
appropriately utilized for a need to create a higher quality city 
environment for residents, the working commuter class, and city 
guests.

. . References. Doane, D. P., & Seward, L. E. (2022). Applied statistics in business and economics (7th ed.). New York Mcgraw Hill.. 

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Doane, D. P., & Seward, L. E. (2022). Applied statistics in business and economics (7th ed.). New York 
Mcgraw Hill.

Frankenfield, J. (2020, July 1). Data Analytics. Investopedia. 
https://www.investopedia.com/terms/d/data-analytics.asp

Halton, C. (2019, July 19). Predictive Analytics Definition. Investopedia. 
https://www.investopedia.com/terms/p/predictive-analytics.asp

Hartzman. (2021). Free Music For Creators. Uppbeat.io. https://uppbeat.io/t/hartzmann/clear-sky

Hayes, A. (2019). Technical Analysis. Investopedia. 
https://www.investopedia.com/terms/t/technicalanalysis.asp

Ibrahim, H. (2017, November 25). Car Parking Problem in Urban Areas, Causes and Solutions. 
Papers.ssrn.com. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3163473

[Audio] Smart Parking App Presentation
Created By: Amy Chaplin. 

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Smart Parking Application Project

avatar

Many US cities are plagued with frustrating parking problems, our city included.

In  the last few years, we have seen a dramatic  impact of higher traffic congestion and lack of  parking throughout many of our city parking lots.

Implement a real-time parking application

Lower  traffic congestion, provide real-time parking availability, easy movement around city  streets

➢Miscalculation of space requirements during  the planning phases of the city

parking cycles  over a specific period, parking volumes on  certain days, and particular lots overfilled to  understand the impact of these variables and  draw conclusions about the data presented.

In the following section, analysis and projections for parking within  the city supports a smart parking application's implantation through various charts and visual aids, including the following data.

•Data presented to show the correlation between occupancy rates  against time of day for selected lots

Most likely due to influx of workers  commuting to the city

❖Weekend volume trends down Friday through

Friday tends to show more parked cars  due to leisure or after work activities, Sunday  shows the least volume throughout the weekend.

• Occupancy Rates Fluctuate hourly and daily

Occupancy Rates against Time of Day  y = 0.0131x + 0.5077

Linear (Average of Occupancy Rate - Lot 6) y = 0.0215x + 0.4434

•Both lots present a decline after 15 on the x-axis

•Lot six shows both declines after 15 yet, a sharp  uptrend after 18

•Both lots offer low occupancy on Saturday and

•Both lots show lower volume after working hours in  the evening during the week

•All data concludes the expectations to support a  smart parking application within the city

❖Adopt new technology that will enable residents and city guests to  find available parking spaces in real-time.

❖ More parking could help lessen the parking lot overcrowding and  overflow congestion down narrow city streets.

Now that the data  concludes, some city areas are in higher demand than others.

❖Signage for the city parking smart app service should be visible  around the city.

❖The Smart Parking App program will help ensure city funding is  appropriately utilized for a need to create a higher quality city  environment for residents, the working commuter class, and city  guests.