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Pages 24-34

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From page 24...
... 24 The decisive reference on fare policies was TCRP Report 94: Fare Policies, Structures and Technologies: Update (Multisystems Inc.
From page 25...
... 25 • Fare products, and • Fare media. The survey adapted this framework for survey questions on fare policy integration.
From page 26...
... 26 Modes in a Common Fare Payment System Most regional systems support more than one mode and therefore support more than one fare structure. Figure 7 shows the number of multiagency EFPS (vertical axis)
From page 27...
... 27 for each system and the distribution of fare structure by mode are shown in Table 5. Figure 7 was derived from columns 2 and 3 of Table 5.
From page 28...
... 28 implementation. Another respondent indicated that the costs increase when there are a variety of fare structures and products.
From page 29...
... 29 Common Set of Fare Rules Respondents were also asked if there are a single set of rules which agencies participating in the multiagency EFPS follow (Figure 9)
From page 30...
... 30 Fare Rider Categories Respondents were asked about the rider categories they support. In multiagency systems, definitions of senior, student, youth, and low-income riders may be inconsistent.
From page 31...
... 31 The fare product is controlled by a set of rules that defines who, when, where, how, and how often access to service is allowed or concisely denoted as "access rights" (ISO 21724-1, 2016)
From page 32...
... 32 the research did not anticipate the adoption of fare capping. Fare capping rules are typically applied as back office processes and are difficult to implement in a card-based system.
From page 33...
... 33 ID LUM Smart Card Bank Card Mobile NFC Printed Bar Code Mobile Bar Code Other 11 R 16 X X 17 X R 20 X R 21 X R 22 R X X 24 X R X 25 R 30 R 32 R 34 X R 35 X R X 37 X X X 38 X R 39 R 43 X X 46 R R 48 X X X X 50 R 51 R R R 52 X X 53 X R Total 17 14 5 3 1 4 1 "R" indicates that additional value or fare product may be reloaded on the medium. Source: Survey data, format is native Word table.
From page 34...
... 34 81.8% 90.9% 90.9% 86.4% 63.6% 72.7% 31.8% 0 5 10 15 20 25 Ticket Vending Machine (TVM) Sales Office Retail Outlet Web or Mobile store Monthly autoload Reload based on trigger amount through account Other - Write In (Required)

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