Increase Parking Revenue with Smart Parking Optimization

FoxNet. IoT and IT Solutions
How to optimize the smart parking value chain
and increase revenue.
William Dupley,
Digital Strategist
FoxNet Inc.
September 2018

2
Smart parking capabilities. 01. Why smart parking?
02. Transportation trends.
03. Smart parking value chain.
04. Parking management.
05. Parking revenue.
06. Parking optimization.
07. Parking integration.
08. Where to start?
Agenda

3
We’re a creative & experienced team
of architects and advanced parking
system designers.
FoxNet’s original premise was simple: save
organizations from making costly IT mistakes.
about us.
• Over 15 Years of experience solving IT problems
• A passion for customer service and personalized
engagements
• Agile; with the ability to adapt to technical changes
as they come

4
Waterloo based
service provider since 2002
Community Customer Service Trust Integrity
Waterloo,
Ontario
our roots.

5
Why smart parking?

1. Reduced travel time
2. To spend less ($$)
3. Find spots with ease
4. Accessibility – Eliminate the need to stop and pay for parking
5. Access to electric car charging
6. Ability to handle different types of drivers,
• (i.e. easy access for disabled drivers, delivery drivers, expectant
mother)
7. Enable preferred parking spots or valet parking options
6
What do customers want from parking?

• Parking guidance and information system (PGIS): Locating a parking
spot
• Transit-based information systems: Transit schedules and traffic
conditions
• Smart payment systems: Phones smart cards, credit cards, debit
cards
• Automated parking: Automatically parked cars in allocated spaces
• Parking reservation (eParking): Reserve and pay for their parking in
advance
• Dynamic pricing: Based on time, location, and customer demand
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Smart parking capabilities.

8
Benefits of smart parking.

9
Transportation trends.

• In 2020, the parking
industry will be severely
disrupted by driverless
cars
• AlphaBet’s Waymo is
already testing pricing and
teaming up with public
transit in the Phoenix area
• Waymo has ordered 62000
Chrysler Pacifica to
support this program -
delivery 2018
10
Trends: Driverless Cars.

• Waymo also
announced a deal
with Jaguar Land
Rover to create self-
driving Jaguar I-Pace
electric SUVs
• The first cars will
begin testing this
year and be part of
the Waymo fleet by
2020
11
Trends: Driverless Cars.

• Ehang has produced a
"184" Personal Flying
Vehicle (PFV). Able to
deliver one human (up to
260 pounds) anywhere
within a 10 mile/23-
minute flight time reach
• Top speed of 62mph,
and max flight height of
11,000 feet
12
Trends: Personal Drones.

• Uber is about expanding
beyond its ride-sharing
app to own and operate
its own fleet of driverless
vehicles
• Michigan has found that
subscription car services
could result in a 51%
reduction in car
ownership
13
Trends: Subscription Services (Uber)

• Driverless cars will significantly impact North America by 2030
• 2018 A North American family owns 2.1 cars, by 2030 it will drop to
1.2 cars
• This will have at least a 43 % drop in demand for parking spaces
• Subscriptions Uber services are estimated to have a an impact of
about a 40% reduction in parking demand particularly in urban areas
• On the plus sides you can fit 4 self driving cars in 3 parking spots
• It is possible to increase revenue by 25% on the same parking lot
assets
14
Driverless cars impact on parking.

• Millennial’s preferred to live
within walking distance of
their work and prefer to live
in walkable mixed-use
downtown areas where they
can easily take transit and
walk to work
• Some millennial’s are not
interested in getting their
driver’s license as a result of
this change
15
Trends: Millennial Lifestyle.

• London England
• Congestion Charge
• The Congestion Charge is
an £11.50 daily charge for
driving a vehicle within
the charging zone
between 07:00 and 18:00,
Monday to Friday
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Trends: Congestion Charges.

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Smart parking value chain.

1. Parking Management: Ability to make strategic application, and use,
of existing and planned parking spaces, both on-street and off-street,
in a given area
2. Parking Revenue: Ticket for parking and enforcement of payment
3. Parking Optimization: Ability to ensure that data generated by smart
parking services is not held in silos
• Parking lots availability and occupancy is available to stakeholders
4. Parking integration: Ability to integrate data from all sources into data
repository
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Smart parking value chain.

• Parking Purposes
1. Work: 22.2%
2. Shopping: 9.2%
3. Business: 36.8%
4. Recreation appointments & Private business: 31.8%
• We can just raise prices. The impact of price changes are felt by
those who use their cars for work
• If you raise prices 133% - 99% of work commuters would find an
alternative method of transit
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Parking revenue opportunities.
19

• Daily Rate
$2.54/hr.
• Short
term rate
$6.00/hr.
# of spots Parking usage
Percentage of
users
Duration
of stay
Price Per
hour
Occupancy Revenue
645 Business 36.80% 8 $6.00 90.00% $10,253.95
645 Shopping 9.20% 8 $6.00 90.00% $2,563.49
645 Work 22.20% 11 $2.54 90.00% $3,600.66
645
Other(recreation,
Private business)
31.80% 8 $6.00 90.00% $8,860.75
Total daily
Revenue
$25,278.85
Increase price by 133 percent
# of spots Parking usage
Percentage of
users
Duration
of stay
Price Per
hour
Occupancy Revenue
645 Business 36.80% 8 $14.00 90.00% $23,925.89
645 Shopping 9.20% 8 $14.00 80.00% $5,316.86
645 Work 22.20% 11 $5.91 0.00% $0.00
645
Other(recreation,
Private business)
31.80% 8 $14.00 80.00% $18,377.86
Total daily
Revenue
$47,620.61
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Results in
higher
revenues.

“Underpriced parking can have a large social cost, but
overpriced parking can cause spaces to remain empty
contributing to the loss of customers for nearby stores,
loss of jobs to employees, and loss in tax revenues to
governments”
SFPark San Francisco study
21

2222
Parking management.

1. Identify available spaces
2. Secure revenue collection
3. Parking lot maintenance
• (Identify snow, water, or debris)
4. Lot enforcement
• (are long-term customers occupying short-term parking
spots?)
5. Mobile payment support
6. Per minute parking charges
• (versus flat rate charges)
7. Forecast parking demand
8. Optimize pricing strategies
23
Parking management capabilities.

Goal:
• Eliminate underpriced parking and reduce the number of drivers
cruising nine streets to find an open space
• SFpark maximize the efficiency of their garages
• Ensure at least two or more spots were always available on all
blocks
Solution:
• Variable pricing techniques to set the prices of curb parking using
smart parking technology
• With this technology, the city adjusted curb parking prices in
response to the observed occupancy rates
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Case Study: SFpark.

Results:
• Short-term parkers in garages increased by 11 percent or about 130,000
short-term parkers per year.
• 74% of responded stated that it was "somewhat or very easy to pay for
parking"
• 43% reduction in the time it took for drivers to find a parking spot, resulting
in drivers finding parking within 6.5 minutes
• 30% reduction in vehicle miles traveled and greenhouse gases from
vehicles searching for parking
• 8% decrease in traffic volumes in areas with improved parking availability
• 22% reduction in double parking in pilot areas
25
Case Study: SFpark.

Opportunity/Issue
• Business customers only used parking spots during business hours
• Residential customers typically only occupy spots during evenings
Solution
• Change program and timeshared
Results:
• Freed up a floor which was converted to transient parking customers
• Produced higher revenue
26
Case Study: Gas Town Vancouver.

Opportunity/Issue
• Popular tourist destination
• Cottesloe managed parking using traditional methods: officers would patrol
time-restricted areas, identifying overstays and issuing tickets
• Inefficient & tedious - not all infringing vehicles were identified
Solution
• Installed Smart Parking
• 554 in-ground vehicle detection sensors
• Relaying information to their Smart Parking software
Results
• A 4 year period revenue from parking infringements increased from
$230,400 to $983,200
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Case Study: Town of Cottesloe, Perth, Australia.

28
Parking management data analysis.

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Parking revenue.

1. Enforcement of payment
2. Dynamically adjust price
3. Accurate billing on how long car is parked
4. Read and store license plates
5. Manage prepaid permits & automated payment on entrance and exiting
6. Book and pay in advance & automated ticketing of vehicles that are past
due
7. Integrate with credit cards
8. Ad revenue from Mobile Apps
9. Premium parking services (Valet)
30
Parking revenue capabilities.

Opportunity /Issue:
• Provide fast ability to quickly and efficiently park
• Allow city officials to know when someone has parked illegally in loading areas or bike
lanes
Solution
• Smart Parking Solutions using visual identification sensors mounted on street lights
• Checks available and occupied parking spaces, updates every 3 seconds
• Ensures parking space is adequate for the car model
• Provides navigation to the nearest available parking space (automatic rerouting to
alternative parking, if occupied)
• Enables ability to choose right parking space according to needs (handicapped, parking
space reserved for women, etc.)
• Enables virtual reservation of parking space
• Check pricing of the parking and pay by mobile
• Provides guidance back to a customer’s car
31
Case Study: Bad Hersfeld, Germany.

Results
• A detailed overview of all parking zones can be obtained from
a overview map
• Ability to see availability across the 6 parking lots from one
display
• Eliminates cars driving around in circles trying to find a spot
• Enabled the ability to ties into other systems and display other
city information
32
Case Study: Bad Hersfeld, Germany.

Opportunity/Issue
• The parking meters with banknote collection capability required much maintenance
Solution
• Remove the banknote capability to drive customers to use credit cards
• Done over a period of months
Results
• Both total revenue and transaction volume remained stable.
• Credit card payment increased to account for 99% of all purchases
• Removing note collectors saved the MPA thousands of maintenance cost
• Shifted parkers from coin payment to credit card payment
33
Case Study: Miami Parking Authority.

34
Parking optimization.

1. Ensure data is not kept in individual Parking lot system silos
2. Display occupancy on each parking lot online
3. Display costs, rules, and lot restrictions (such as height and time
you can stay)
4. Visibility and guidance to empty spots
5. Direct integration with city systems (Air quality, and traffic
management)
6. Control emissions
• Discounts and VIP spots for ‘clean’ vehicles
7. Automatically recommend alternative parking in real time
35
Parking optimization capabilities.

Opportunity/Issue
• VPNE was approached by a customer who requested up to 50 spaces on
Fridays between 11:00am - 3:30pm
• Could any of their facilities house that request?
Solution
• Enable visibility of their parking lots occupancy in real time.
Results
• Using the smart parking systems, they were able to nail down in 10 minutes and
reserve that period on Fridays for that customer
36
Case Study: Valet Park of New England (VPNE).

37
Real time parking occupancy across VPNE’s Portfolio.

Opportunity/Issue
• They have thousands of tourists during the summer and winter months
• Extreme seasonal parking demand
Solution
• Using smart parking data analysis, they were able to uncover the magnitude of the parking
demand changes
• Developed a strategy to move a variable parking rate
• Increased their parking rates by 50% during the peak season
38
Case Study: City of Aspen.

Results
• Peak occupancy decreased by 12.5%.
• Parking Revenue increased by 26.1%
• Peak parking occupancies in the core decreased
• Visitors and residents spent less time looking for parking
• Parking turnover increased
• More vehicles parked in off-street facilities and the periphery
39

40

41
Parking integration.

1. Link parking availability to car’s GPS systems
2.Ability to reserve, and pay for the parking spot in advance - cutting down
congestion and pollution
3.Ability to understand the impact of removing parking spots for a part of the
city
4. Predict parking demands for electric cars and charging
5. Understand commuter patterns within the city
6. Ability to integrate parking management systems with city demographics to
determine pricing strategy
7.Single source for parking and IoT data
42
Parking integration capabilities.

Opportunity/Issue
• Provide guidance to parking spots in the City
Solution
• The City Pulse journey planner integrates parking lot information with traffic information
into one guided system
• User selects their location and then looks for parking lots - Journey Planner then maps a
route and provides instructions on how to get there
• If there is a traffic interruption the user is notified of the issue and guided to on different
route
• If on route the parking lot that they intended to go to becomes full they are directed to
another parking lot that has space
43
Case Study: Journey Planner Aarhus, Denmark.

Opportunity/Issue
• Create IoT Infrastructure for City that integrates all Iot Information not just parking
Solution
• Common IoT Infrastructure that supports:
• environmental monitoring
• traffic conditions monitoring
• parks and gardens irrigation
• participatory sensing of information from citizens
• outdoor parking control
44
Case Study: Santander, Spain.

Results
• Open data portal was 70 data
catalogs containing
information about different
domains of the city such as
public transport, water quality,
cultural agenda, traffic
conditions, etc.
• Ability to find Parking spots
quickly
45
Case Study: Santander, Spain.
Detailed view of outdoor parking sensor deployment.

Opportunity/Issue
• Provide guidance to parking
spots and integrate Fan
experience
Solution
• On common Wi-Fi architecture
for the entire stadium
• Implemented a Smart Parking
Lot system
46
Case Study: Levi’s Stadium.

Results
• Parking—Purchasing parking passes
digitally and providing turn-by-turn
directions to the visitor's assigned lot
• Navigation—Helping fans quickly and
easily find their seats
• Security—Mitigating risks and enabling
fans to be the eyes and ears of the
stadium and report any security issues
that may occur
• Refreshments—Ensuring fans get the
food and beverages they want, when
they want them
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Case Study: Levi’s Stadium.

48
Where to start?

Business View
(Why Do I need
a new approach
to parking)
Functional View
(What should the
new parking
solution give me?)
Technical View
(How should the
parking solution
be built and with
what software)
Implementation
View
(What is the work
to build the new
solution)
49
Building a smart parking solution: where to start.

1. Infrastructure planning
2. Economic Development
50
Step 1: Business View – Stratford.

1. Parking Management:
• How is parking being used
2. Parking Revenue
3. Parking Optimization:
• Where are there parking spots
4. Parking integration
Step 2: Functional View.
51

Step 3: Technical View – Stratford Parking Architecture.
53
AWS MQTT Broker
Environment Approx. 50
KB Data/ Wk/Sensor
Approx. 4MB Data/ Wk/
Total
City of Stratford
78 PlacePod
Sensors scanned
every 30 minutes. If
status changes on
sensor in between
scans, sensor sends
notification
immediately.
iWay Data
Migrator
Restful API
PostgreS
QL
WebFOCUS
Rep Server
WebFOCUS
Client
Eleven-X Lora Network
FoxNet EVDC –
PRD-IoT-IBI-Stratford
SSH/SCP
Port 22
Report Caster
XML/Services
Port
Port 80/443
HTTP/HTTPS
FoxNet EVDC – PRD-IoT-IBI-
Stratford

53
Step 4: Implementation View –
Parking Spot Analysis.

54
Official Address
92 Erb Street East
Waterloo, Ontario N2J 1L9
William Dupley
wdupley@foxnetsolutions.com
We’re Social
@FoxNetSolutions
Linkedin.com/company/foxnet

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