Page 161 - Big Data Analytics for Connected Vehicles and Smart Cities

142 Big Data Analytics for Connected Vehicles and Smart Cities The Practical Application of Analytics to Transportation 143

Table 7.1
Candidate Analytics for Integrated Payment
Candidate Analytics Application Notes
Active accounts as a This would enable inactive accounts to be highlighted and
proportion of total accounts action taken to either encourage customers to become active
or to cancel accounts, thus reducing cost and increasing
revenue.
Cost to manage each account This enables the cost of managing each account to be
determined and form the basis for cost-reduction exercises.
Proportion of transactions Provides an indication of the balance of the different payment
supported by each payment channels being used, enabling capacity optimization and
channel repricing of payment channels if necessary.
Cost per transaction for each Supports evaluation of the cost of each transaction by
payment channel payment channel, thus providing guidance to marketing and
outreach to promote each channel.
Revenue losses as proportion A measure of comparative efficiency of the enforcement
of total enforcement process against other integrated payment systems,
expenditure forming the basis for improvement in the efficiency of the
enforcement process.
Expenditure on revenue and Compares the total resources expended in enforcement
fraud control as a proportion to the total revenue of the integrated payment system,
of total revenue providing a yardstick for the efficiency and effectiveness of
the enforcement process.
Reduction of fraud or leakage This relates the total expenditure on fraud control and
as a proportion of expenditure enforcement to the effects achieved in terms of a reduction
on revenue and fraud control in fraud and violations.
Revenue per customer Provides an indication of the size of the customer base and
an assessment of whether revenues are coming from a small
or large number of customers.
Cost per statement Provide an assessment of the efficiency of the billing system.
Customer satisfaction index This will form the basis for improvements to customer
outreach, communications, and service quality levels
Highest volume origin This and other trip pattern analytics would enable careful
destination pair matching of capacity with demand.
Location of premium Knowing the location of premium customers would enable
customers service improvements to be focused on those customers
providing the highest value and car parking fee collection

gence of Uber and Lyft and their ability to drive privately operated mobility
services to customers. It could be argued that such companies have successfully
addressed the challenge of ride-sharing, which has been the subject of much
investment and planning within the public sector. The emergence of these pri-
vate services is also likely to change user perception with respect to the business
model used to deliver transportation services. For example, it is possible that a
traveler could decide not to purchase a personal vehicle, but make use of Uber