1 | P a g e
IAB402 – 2020 S1 – Mini Proposal (A1)
DUE DATE: SUNDAY, APRIL 26, 2020 @ 11:59 PM (23:59)
Submission Checklist

2 | P a g e
3 | P a g e
EXECUTIVE SUMMARY
The Brisbane City Council (BCC) requires a mechanism for capturing revenue from the significant number of electric scooter
riders that use the Go-Between Bridge every day. BridgeIT has conceived of a novel toll system to this end and is the most
capable firm to deliver it.
The synthesis of a turnstile toll point and an efficient neural network allow for scooter riders to be identified and tolled while
other pedestrians and cyclists are granted passage.
The project has a significant NPV of $83,556.70 despite COVID-19 restriction related demand shocks. Other anticipated benefits
relate to pedestrian safety, cycleway congestion, and the paving of the way towards BCC’s Brisbane Vision 2031.
BridgeIT as an implementation partner is uniquely positioned to leverage incredible experience and passion to drive the
realization of these benefits.
4 | P a g e
TABLE OF CONTENTS
1.0 INTRODUCTION ……………………………………………………………………………………………………………………………………………… 5
2.0 BACKGROUND ………………………………………………………………………………………………………………………………………………… 5
3.0 PROBLEM DEFINITION ………………………………………………………………………………………………………………………………….. 5
4.0 PROJECT GOALS AND OBJECTIVES…………………………………………………………………………………………………………… 6
5.0 EXPECTED BENEFITS…………………………………………………………………………………………………………………………………….. 6
6.0 PROPOSED APPROACH…………………………………………………………………………………………………………………………………. 7
7.0 ESTIMATE OF FEES AND BILLING ARRANGEMENTS ………………………………………………………………………………. 8
8.0 PERSONNEL / STAFFING………………………………………………………………………………………………………………………………. 9
9.0 CLOSING STATEMENT………………………………………………………………………………………………………………………………….. 9
10.0 SUPPORTING DOCUMENTATION……………………………………………………………………………………………………………….10
11.0 BIBLIOGRAPHY………………………………………………………………………………………………………………………………………………11
5 | P a g e
1.0 INTRODUCTION
With the rise in popularity of electric scooters as a means of travel in Brisbane, Brisbane City Council have identified an
opportunity to gain revenue through a scooter toll system on the Go-Between Bridge. BridgeIT, a client-centric firm, supports
Brisbane City Council’s decision to seek assistance with implementation and believes that the benefits of the project will be both
financially and strategically significant. BridgeIT aims to implement a system that maximises revenue and compliance whilst
maintaining efficiency for bridge users. BridgeIT’s breadth of toll system development and deployment experience uniquely
permits us to understand your issues and deliver real value.
2.0 BACKGROUND
Brisbane City Council is the largest local government in Australia. The Go-Between Bridge, located over the Brisbane River in
inner-city Brisbane, is a toll bridge for riders, pedestrians and vehicles. The Bridge connects West End to Hale Street and the
Inner-City Bypass and accommodates approximately 263 scooter riders daily. Brisbane City Council wants to implement a Scooter
Toll System on the Go-Between Bridge for both rental and private-owned electric scooters. Scooter rental firms have indicated
they will share adequate information to identify users to be charged, however, specified that no changes or modifications can
be made to their scooters.
Interest into the implementation of a scooter toll system on the Go-Between Bridge has been piqued due to its associated
advantages, specifically the economic benefits that implementing an information system could bring. Currently, vehicles pay a
toll fee of $3.23-$3.72 to drive over the 117m bridge, while scooter riders, cyclists and pedestrians can access the bridge free of
charge. However, Brisbane City Council wishes to expand these present systems to capitalize and cope with future growth, as
well as maximise the current efficiency of the bridge to its users.
IN SCOPE: The scope of the project will include the following:

OUT OF SCOPE: Everything not specifically documented as in scope is explicitly out of scope. In particular, the following is out of
scope for this project:

3.0 PROBLEM DEFINITION
Brisbane City Council are seeking to capture revenue through the implementation of a scooter toll system on the Go-Between
Bridge. Currently, there is no such tool in place and consequently, Brisbane City Council are failing to maximise revenue. To
successfully achieve such a system, the council requires a technical solution that identifies and charges only scooter riders
amongst the other bridge users. Furthermore, it must have the capability to cater for both public and private scooter users, all
without making any physical alterations or modifications to the scooters themselves. The solution must also prove to be efficient
and time-sensitive, ensuring that no delays are enforced on bridge users.
6 | P a g e
4.0 PROJECT GOALS AND OBJECTIVES
The goal of this project is to generate revenue for Brisbane City Council through the development and implementation of a
Scooter Toll System located on the Go-Between Bridge. This will be achieved through the following objectives:
– Development of a traffic identifying neural network with 95% accuracy
– The development of the hardware system facilitating the neural network
– The deployment of the necessary hardware system
5.0 EXPECTED BENEFITS
This project represents an excellent financial decision for BCC. Setting a $3.50 toll, our model predicts a project NPV of
$83.556.70 over a 30-month period (considering an annual discount rate of 5% and a price elasticity of toll road demand of –
0.25).
NPV can be maximised with a toll price of $9.04. After this point, NPV falls as the fall in demand overtakes per-user revenue.
However, it is not recommended that BCC pursue a toll price of $9.04 as this price would contravene BCC’s vision of accessibility
and equity in Brisbane. Additionally, there would be a political price to pay that is not accounted for in our model.
Table 1 above illustrates the first and final months of modelling. In the interest of readability, most months are omitted. The
model accounts for COVID-19 restriction related shifts in demand and assumes that demand will return to normal linearly over
this 30-month period. The initial impact of 75% is sourced from TrafficTechnologyToday (2020).
It is evident from this model that even when the incredible demand shock of current COVID-19 restrictions is accounted for, this
project represents a fantastic financial decision for Brisbane City Council.
Appendix 1 illustrates the calculations that derive pre-COVID-19 daily revenues. These are converted to monthly figures and
adjusted for COVID-19 in Figure 1 above.
Table 1: Financial Model (Expense figures derived from 2020 prices from e-con systems, Alibaba, and UMD)
7 | P a g e
6.0 PROPOSED APPROACH
In response to Brisbane City Council’s current enquiry, BridgeIT proposes a toll point solution for the GBB scooter toll system. As
illustrated in Figure 1 below, the solution will structurally consist of a camera, neural network system and turnstile entrance way.
Two toll points will be installed to allow for efficient flow from either direction and will expand across the entire pathway to
ensure that users are unable to manoeuvre around it.
As a rider approaches the toll point, the camera will activate and
the neural network system will proceed to identify their mode of
travel. If a cyclist is detected the gates will automatically open
and allow them to proceed through. On the other hand, if a
scooterist is detected then the barrier will remain closed until the
rider has paid the $3.50 toll via the inbuilt payWave system.
Signage will be located on the toll structure to instruct scooterist
and ensure ease of use.
The toll point has been strategically located at the Milton
entrance of the GB Bridge. This ensures that if a queue was to
occur it wouldn’t intrude on the road crossing located at the
West End entrance and consequently eliminates the potential
risk to pedestrians. Furthermore, the toll has only been located
on the Toowong / Bikeway side of the bridge. This decision was
made in order to appease safety concerns surrounding the risk that scooterists pose to pedestrians, especially in a confined
space such as the GBB. Despite this, there is the ability to add a mechanism on the pedestrian walkway if future compliance is
not satisfactory.
As previously identified, whilst the toll point is only located at the Milton end of the bridge, thorough signage and warnings will
be placed at the West End entrance to ensure all users are fully aware and accustomed to the toll point and cost of travelling
the bridge.
The project will be carried out to align with the timeline proposed in Figure 2. With commencement beginning on the 4th of May
2020 and construction finishing on the 14th of June 2020, project completion is anticipated on the 18th of July 2020.
Figure 2: GBB Scooter Toll System Proposed Timeline
Figure 2: Illustration of proposed Toowong side Scooter Toll
System
8 | P a g e
Once implemented and functional, BridgeIT foresees the following benefits of implementing the proposed solution:
1. Increased revenue (see expected benefits for the cost benefit analysis)
2. Decreased cycleway congestion
4. Improved pedestrian safety
5. High compliance
6. Low-maintenance solution that can withstand the environment & damage
7.0 ESTIMATE OF FEES AND BILLING ARRANGEMENTS
BridgeIT’s team will consist of a Project Manage and three Senior Consultants. Consultants will work 40-hour weeks, however,
there will be scaling back to 20-hour weeks on weeks with low expected workload.
– All fees and expenses pertaining to BridgeIT are included within the hourly rate
– Additional hours worked within the proposed timeline will not be billable
– In the event of scope redefining or extended project timeline, BridgeIT will extend the standard billing of 40/hr weeks
at the rate defined in Table 2 below
– Requests out of current scope/goal definition will have fees renegotiated between BCC & BridgeIT
As part of BridgeIT’s commitment to the development & modernisation of the city of Brisbane, and as a gesture of our intent to
create a long-term relationship with the Brisbane City Council, BridgeIT are offering a 10% discount on the billing of worked
hours. Final estimates of the project billables amount to a figure of $197,415.00.

Table 2: Billing rates and Proposed Hours
9 | P a g e
Billing Arrangements: Payments are to be made monthly for the duration of the project. Payments will consist of the total billable
hours worked by the BridgeIT team for the month up to the billing day. The BridgeIT team will produce an invoice wherein the
total hours worked along with the hourly rate for each resource will be listed. The final amount owed for the month will be
printed on the invoice. The invoice will be sent to a nominated BCC account on the 18th of each month and is to be paid within
one (1) week.
8.0 PERSONNEL / STAFFING
BridgeIT’s competitive edge comes from the exceptional talent that it employs. As part of the project, the BCC will have the
commitment of the 3 most senior consultants & a project manager with passion and a reputation of delivering projects on time
and in budget. BridgeIT relies on strong interpersonal skills and communication between its team members. The team assigned
to this project has delivered countless projects nation-wide since the company’s inception as a QUT start-up.
MEET THE TEAM
9.0 CLOSING STATEMENT
The implementation of a GBB scooter toll system is a highly beneficial and value-adding opportunity for the Brisbane City Council
– if done right. With more than five years of toll systems experience, BridgeIT has the right ability to execute this technical
solution. The BCC can feel confident that the team of deeply skilled senior consultants on their case are the best people for the
job – period. BridgeIT highly supports the Brisbane City Council’s decision to implement such a system and are eager to begin
work immediately. Please do not hesitate to contact BridgeIT with any further queries.
Jack Caton – Project Manager
Jack completed a double degree in
Finance & Information Systems from
QUT. His passion and breadth of
Project Management & technical IT
industry experience from Deloitte to
EY makes him an exceptional fit for
drawing on industry-wide expertise
and excelling in project delivery.
Dimitry Peshkoff – Senior Consultant
Dimitry completed a QUT double
degree in Information Systems &
Business. He has excelled in working
at competitive technology companies
such as Deloitte Digital and boasts
diverse roles from physical
engineering, back-end development
to networking and neural network
design.
Brianna Lee – Senior Consultant
Brianna, an artistically minded
senior consultant, combines her dual
degrees in Information Technology
and Interactive/Visual Design from
QUT to provide a UX edge to
projects, while understanding the
complexities of the technologies at
hand.
Mia McConnell – Senior Consultant
Mia provides a business
management perspective with
technical competency. She studied
Business Management alongside
Information Systems at QUT, giving
her a distinctive business mindset
that proves to be highly valuable to
any project.
10 | P a g e
10.0 SUPPORTING DOCUMENTATION
APPENDIX 1
Table 3 below illustrates the calculations behind our financial model and relevant sources.
Table 3: Benefit Assumptions & Calculations
Source
Brisbane Toll Road Price Elasticity of Demand -0.25 Lake & Ferrerira, 2002
Toll Price $ 3.50
Annual Project Discount Rate 5%
Average Daily Go-Between Bridge Cyclists 990.09 Brisbane City Council, 2019
Ratio of e-Scooters to Bikes in Brisbane 26.52% Haworth & Schramm, 2019
Calculated Daily Go-Between e-Scooter Riders 262.58
Average cost of an e-Scooter ride without a toll $ 4.22 Griswold, 2018
Average cost of an e-Scooter ride with a toll $ 7.72
% change in e-Scooter riders due to Toll -21.00%
Amount of e-Scooter riders with Toll 207.44
Average daily revenue $ 726.04
Inputs
Outputs
11 | P a g e
11.0 BIBLIOGRAPHY
Alibaba. (2020). Economic Remote Control Arm Barrier Gate for Entrance and Exit Security. Retrieved from Alibaba website:
https://www.alibaba.com/product-detail/Economic-Remote-Control-Arm-BarrierGate_60743341820.html?spm=a2700.7724857.normalList.12.1a933370cfvwYe&s=p&fullFirstScreen=true
Brisbane City Council. (2019, August 15). Bikeway counts – Automatic surveys – 2018 – CSV. Retrieved from Brisbane City
Council website: https://www.data.brisbane.qld.gov.au/data/dataset/bikeway-counts/resource/de2600e7-f1a8-4489-
a566-a0f9511b70a7
e-con Systems. (2020). See3CAM_CU130 – Custom Lens USB 3.0 Camera Board (Color). Retrieved from e-con Systems website:
https://www.e-consystems.com/UltraHD-USB-Camera.asp
Griswold, A. (2019, July 11). Simple math shows how scooters could make big money. Retrieved from Quartz:
https://qz.com/1325064/scooters-might-actually-have-good-unit-economics/
Haworth, N., & Schramm, A. (2019). Illegal and risky riding of electric scooters in Brisbane. Medical Journal of Australia, 412-
413.
Lake, M., & Ferrerira, L. (2002). Demand for Toll Roads: A Summary of Elasticities, Travel Time Values and Modelling
Approaches. Brisbane: QUT.
TrafficTechnologyToday. (2020, April 2). Using AI to Monitor the Impact of COVID-19 on our Highways. Retrieved from Traffic
Technology Today: https://www.traffictechnologytoday.com/features/using-ai-to-monitor-the-impact-of-covid-19-onour-highways.html
Unique Micro Design. (2020). UMD-S180 EFTLink EFTPOS Interface Software. Retrieved from UMD website:
https://www.umd.com.au/itd/products/s180.html