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TCRP Report 115: Smartcard Interoperability Issues for the Transit Industry (2007)
Transit Cooperative Research Program (TCRP)

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Transportation Research Board. "6.2.1 Data Location." TCRP Report 115: Smartcard Interoperability Issues for the Transit Industry. Washington, DC: The National Academies Press, 2007.

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Page
75
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Page
75
Front Matter (R1-R9)
Summary (1-2)
Chapter 1 - Introduction (3-3)
1.2 Elements of Fare Payment Interoperability (4-4)
1.3 Interoperability Across Regions (5-5)
1.4 Interoperability Beyond Transit (6-6)
1.5.1 Acceptance of Contactless Bank Cards (7-8)
1.5.3 Multiple Payment-Enabled Devices (9-9)
1.6 Hypothetical Examples - Interoperability Between WMATA and TransLink (10-10)
1.6.1 Information to Be Exchanged for Payment (11-12)
1.6.3 Process for Determining the Net-Settlement Position (13-13)
2.1 Management and Organizational Issues (14-14)
2.1.1 Establishing a Governing Body or Project Sponsor (15-16)
2.1.2 Identifying and Mitigating Operational Differences (17-17)
2.1.3 Establishing a Framework for Program Funding (18-18)
2.1.4 Creating a Rollout Schedule (19-19)
2.1.5 Developing a Contracting Strategy (20-21)
2.2.2 Funds Pool Management (22-22)
2.2.3 Financial Exposure and Risk Associated with Advanced Features (23-23)
2.3.2 New Processes (24-24)
2.4 Equipment Design Issues (25-25)
2.5.2 Supplier Behavior (26-26)
2.5.3 Supplier Compliance with Available Standards (27-27)
Chapter 3 - Findings of Peer Review of Interoperable Smartcard Programs (28-28)
3.1.1 SmarTrip (29-33)
3.1.2 TransLink (34-34)
3.1.3 Chicago Card (35-35)
3.1.4 Central Puget Sound Regional Fare Coordination (RFC) Project (36-36)
3.1.5 Go-To Card (37-37)
3.1.6 Orlando Regional Alliance for Next Generation Electronic Payment System (ORANGES) (38-38)
3.1.7 Go Ventura (39-39)
3.1.8 Transit Access Pass (TAP) (40-40)
3.1.9 Compass (41-41)
3.1.10 Octopus (42-42)
3.1.11 EZ-Link (43-43)
3.1.12 Oyster (44-44)
3.2.1 Commonalities and Differences (45-46)
3.2.2 Current Trends and New Developments (47-47)
3.4.2 SmarTrip (48-48)
3.5 Summary (49-50)
4.1 Industry Interoperability Analysis (51-51)
4.2.1 Physical Layer (52-56)
4.2.2 Data Layer (57-59)
4.2.3 Application Layer (60-60)
4.2.4 Security Layer (61-66)
4.3 Gap Analysis (67-68)
5.1 Development of Conceptual Fare Payment System Architecture (69-69)
5.2 Identification of the Data Types (70-70)
5.3.2 Operation Data Flows (71-73)
6.1 Scope of the Data-Management Policy (74-74)
6.2.1 Data Location (75-75)
6.3 Identification of Stakeholders and Their Roles and Responsibilities (76-76)
6.4 Other RequirementsPrivacy (77-77)
6.5 Current Trends (78-78)
7.1 Use of Standard API in Proof of Concept (79-82)
7.2 Development of AFC Simulator (83-84)
7.3 Demonstration (85-85)
7.4 Conclusion (86-86)
Chapter 8 - Conclusions (87-91)
Appendix A - Set of Functionality for a Standard API (92-99)
Abbreviations used without definitions in TRB publications (100-100)

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OCR for page 75
Findings of Data-Management Policies and Issues 75 No Monitor Monitor Needs Needs Stakeholder Stakeholder Changing? Changing? Needs Needs Yes Establish Establish Data Data Identify Identify Data Data Assign Assign Access Access Modify Modify Data Data Policy Policy for for Types Types Rights Rights Policy Policy Participants Participants Analyze Analyze Define Define Roles Roles Identify Identify Stakeholder Stakeholder and and Stakeholders Stakeholders Needs Needs Responsibilities Responsibilities Figure 15. Data-management policy development and maintenance process. 6.2 Definition of the Data Types Smartcard systems capture detailed transaction and revenue data. Rules must be established for governing who has access to what data, particularly in environments where multiple private operators compete for ridership, because this type of data is generally considered confidential. The data sharing and information access policies also drive the security architecture of the inter- operable smartcard system. Two categories of data are associated with a smartcard fare payment system: · Transaction Data-Consists of the transactions generated as the smartcard system is used for payment or validation of ride privileges or when value is loaded to cards and · Operations Data-Consists of all non-transaction data collected while the smartcard system is operating. As discussed in Chapter 1, transit agencies take ownership of the service levels offered to rid- ers. This situation precipitates an environment of defending control of all data generated for a specific agency's operations. 6.2.1 Data Location In a multi-agency environment, most operational data associated with each agency will be stored separately, primarily because of the differences in operations. Certain data, such as card holder identity on personalized cards, may be shared by multiple agencies because such data are loaded after card issuance. For example, a card issued by a university for identification purposes may contain a transit application that uses the identity information collected and encoded on the card by the university; this is used for transit-balance protection services. Given the current state of the technology, the fields and format of such data must, however, be established and coded at the time of card manufacture. Long-term goals of transit agencies in cities such as Washington, San Francisco, Seattle, and London include the future integration of other applications onto cards issued initially for transit service. Although development efforts are under way for card-operating systems (i.e., applications