Data Sharing Guidance for Public Transit Agencies—Now and in the Future (2020)

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APPENDIX B Interview Guides Transit Agency Interview Guide 1. Has your transit agency shared, traded, or sold any kind of transit agency data?   Sharing data includes open data initiatives and private data sharing agreements (for example, with a research institute). Trading refers to an in-kind arrangement (for example, providing data in exchange for services or advertising). Selling involves exchanging data for monetary compensation. If yes: a. What data was shared, traded, or sold? b. How was it shared, traded, or sold? c. Who was it shared or traded with, or sold to? d. Can you share the data agreement with us (or any related documentation)? e. How did your transit agency identify and engage the partner who received the data? f. Did your transit agency have to clean, process, or standardize the data? g. What benefit(s) did your transit agency receive from sharing, trading, or selling data? h. Can you quantify the benefit in monetary terms? i. Were there negative consequences of sharing, trading, or selling data? j. What (if any) barriers did your transit agency encounter in the process of sharing, trading, or selling data? For example, consider privacy concerns, technological barriers, or public perception challenges. k. Is there any information or tool that you think would have made the process of sharing, trading, or selling data easier? l. What advice would you give a transit agency considering a similar agreement? 2. (In addition to the experience just described), has your transit agency considered sharing, trading, or selling any kind of transit agency data? If yes:   What barriers did your transit agency encounter that have prevented you from sharing, trading, or selling data at this time? For example, consider lack of partners, privacy con- cerns, technological barriers, security concerns, or public perception challenges. 3. For transit data types that your transit agency has not considered sharing, or trading, or selling, what barriers to sharing, trading, and selling exist? For example, consider lack of partners, privacy concerns, technological barriers, or public perception challenges. Example Data Sources: –  Fare Collection Data –  AVL Data 66 

Interview Guides   67   –  Route and Schedule Data –  Vehicle Maintenance Data –  Station Data –  Survey data –  Automatic passenger counter/load data –  Safety data –  Wi-Fi Data –  App Data (for example, from a trip planner or fare purchasing app) –  Other ____________________ 4. For transit data types that your transit agency has not considered sharing, or trading, or selling, is there any information, tool, or structure that would allow your transit agency to overcome these barriers?   This could include information on partners or tools to connect with them, tools or structures for data standardization, organizations for data warehousing, etc. 5. What changes do you anticipate in the future that could alter transit data sharing, trading, and selling? 6. Are there external data sources that your transit agency would be interested in gaining access to? Explain the value these data sources would provide.   External data sources could include private mobility provider data, Wi-Fi data, GPS probe data, and app data. 7. What value can transit data provide to external entities?   External entities could include public agencies, private companies (e.g., app developers, mobility providers, advertisers), and researchers. 8. Are there questions you have for these external data providers regarding access to their data? 9. What questions would you want to be answered in a guide on transit data sharing, trading, and selling? 10. Is there anyone else that you know of who we should talk to for this project?   This could be someone else at your transit agency, at another transit agency, someone who consults with transit agencies, or some other subject matter expert. Private Sector Interview Guide Background Overview 1. Do you participate in any of the “Mobility on Demand Sandbox” or “Smart City Challenge” projects, collaborating with public partners (e.g., transit agencies or cities)?   Could you tell us more about it? If Not: 2. Do you collaborate with public partners (e.g., transit agencies or cities) for data sharing?   Could you tell us more about it? 3. Do you collaborate with private partners for data sharing?   Could you tell us more about it? If Yes or Relevant: 2. If you develop an app/or analytical platforms: a. What type of data do you collect? b. How do you facilitate data sharing among your partners? c. Who manages the data? (e.g., data processing, documentation, catalog, etc.) d. Who owns the data? 

68   Data Sharing Guidance for Public Transit Agencies—Now and in the Future Data Sharing and Access 4. Do you share your data with public (private) partners? a. What data is shared (traded)? b. In what format is the data shared? Interviewer will prompt the following categories: –  Raw data –  Data analytical results in aggregated forms –  Software with data analytical results –  Data visualization platforms –  Smartphone Application –  Other, please explain ____________________ 5. Do you have access to (mobility) data from your public (private) partners? a. What data is it? b. In what format is the data shared? Interviewer will prompt the following categories: –  Raw data –  Data analytical results in aggregated forms –  Software with data analytical results –  Data visualization platforms –  Smartphone Application –  Other, please explain ____________________ 6. Could you please highlight the key takeaways of both parties in the process of negotiating the agreement?   Could you share the data agreement with us (or any related documentation)? 7. What (if any) barriers (risks) exist to sharing data with the public (private) partners? Interest in Transit Data 8. Would your business be interested in sharing your data with transit agencies? a. On a scale of 1 to 10, 1 being no interest at all, how would you rate your interest in sharing your data with transit agencies? b. What type of data would you be interested in sharing? 9. Would your business be interested in getting data from transit agencies? a. What data currently collected by transit agencies may have value to your business? Interviewer will prompt with the following categories: –  AVL Data –  Route and Schedule Data –  Vehicle Maintenance Data –  Station Data –  Survey Data –  Anonymous Passenger Counter/Load Data –  Safety Data –  Wi-Fi Data –  App Data (e.g., from a trip planner or fare purchasing app) – Other b. What types of data not currently collected by transit agencies may be useful to your business? c. On a scale of 1 to 10, 1 being no interest at all, how would you rate your interest in buying data from transit agencies? 

Interview Guides   69   d. On a scale of 1 to 10, 10 being the most valuable, how would you rate the value of standardized transit data (such as GTFS) to your business? e. On a scale of 1 to 10, 10 being the most valuable, how would you rate the value of processed transit data (but not necessarily in a national or international standard), as opposed to raw data? f. Would data from transit agencies be more valuable if it were compiled from multiple agencies (as opposed to one agency) within one region (city, region, or state)? g. Would data from transit agencies be more valuable if it were compiled from multiple regions (as opposed to one city or region)? 10. What changes do you anticipate in the future that could alter the practice of data sharing and selling for your business? City and State Interview Guide Mobility on Demand Sandbox/Smart City Challenge Project Overview 1. What city departments or agencies are collaborating in the project? 2. What private entities have you partnered with to meet the project goals? Data Sharing and Access 3. Do you share your data with private (public) partners? a. What data is shared? b. In what format is the data shared? Interviewer will prompt the following categories: –  Raw data –  Data analytical results in aggregated forms –  Software with data analytical results –  Data visualization platforms –  Smartphone Application –  Other, please explain ____________________ c. If you have an app/platform: i. What type of data do you collect? ii. What type of data do your partners collect? iii. How do you facilitate data sharing among your partners? d. Who manages the data? (e.g., data processing, documentation, catalog, etc.) e. Who owns the data? f. What (if any) barriers (risks) exist to sharing data with the private (public) partners? 4. Do you have access to (mobility) data from private (public) partners? a. What data is it? b. In what format is the data shared? Interviewer will prompt the following categories: –  Raw data –  Data analytical results in aggregated forms –  Software with data analytical results –  Data visualization platforms –  Smartphone Application –  Other, please explain ____________________ c. What (if any) barriers (risks) exist to accessing data from the private (public) partners? 

70   Data Sharing Guidance for Public Transit Agencies—Now and in the Future 5. Could you please highlight the key takeaways of both parties in the process of negotiating the agreement? a. Could you share the data agreement with us (or any related documentation)? b. Was there a public process when deciding the partners? Public Access Policies 6. Is the data you collect available to the public? 7. Is private sector data that you receive or purchase available to the public? In what form? 8. How does the public currently access and use data from your agency? How do you anticipate that changing in the future? Utility Industry Interview Guide 1. Has your utility/organization shared, traded, or sold any kind of utility data?   Sharing data includes open data initiatives and private data sharing agreements (for example, with a research institute). Trading refers to an in-kind arrangement (for example, providing data in exchange for services or advertising). Selling exchanges data for monetary compensation. If yes, interviewer will ask these follow up questions: a. What data was shared, traded, or sold? What criteria did your utility/organization use to define time intervals, time period, and frequency of providing this data? b. How was it shared, traded, or sold? What are the benefits to your method/platform? c. Who was it shared or traded with, or sold to? If smart meter data is shared—how is individual customer data used compared to aggregated/anonymized data used (are uses different, is the value of these types of data different)? d. How did your utility/organization identify and engage the data user/buyer? e. How does your organization process and standardize data? What do you recommend to transit agencies, to data sharing standards? f. What benefit(s) did your utility/organization receive from sharing, trading, or selling data? g. Can you quantify the benefit in monetary terms? If priced, how did your utility/organization determine pricing for the data? h. Were there negative consequences of sharing, trading, or selling data? i. What (if any) barriers did your utility encounter in the process of sharing, trading, or selling data? For example, consider privacy concerns, technological barriers, public perception challenges, expertise, and capital that needed to be developed. j. Is there any information or tool that you think would have made the process of sharing, trading, or selling data easier? k. What advice would you give a transit agency considering a similar agreement, considering they have many of the same challenges that an electric utility has in managing data? 2. Is there anyone else that you know of who we should talk to for this project?   This could be someone else at your utility/organization, at another utility/organization, a partner, or a subject expert. 

Abbreviations and acronyms used without definitions in TRB publications: A4A Airlines for America AAAE American Association of Airport Executives AASHO American Association of State Highway Officials AASHTO American Association of State Highway and Transportation Officials ACI–NA Airports Council International–North America ACRP Airport Cooperative Research Program ADA Americans with Disabilities Act APTA American Public Transportation Association ASCE American Society of Civil Engineers ASME American Society of Mechanical Engineers ASTM American Society for Testing and Materials ATA American Trucking Associations CTAA Community Transportation Association of America CTBSSP Commercial Truck and Bus Safety Synthesis Program DHS Department of Homeland Security DOE Department of Energy EPA Environmental Protection Agency FAA Federal Aviation Administration FAST Fixing America’s Surface Transportation Act (2015) FHWA Federal Highway Administration FMCSA Federal Motor Carrier Safety Administration FRA Federal Railroad Administration FTA Federal Transit Administration HMCRP Hazardous Materials Cooperative Research Program IEEE Institute of Electrical and Electronics Engineers ISTEA Intermodal Surface Transportation Efficiency Act of 1991 ITE Institute of Transportation Engineers MAP-21 Moving Ahead for Progress in the 21st Century Act (2012) NASA National Aeronautics and Space Administration NASAO National Association of State Aviation Officials NCFRP National Cooperative Freight Research Program NCHRP National Cooperative Highway Research Program NHTSA National Highway Traffic Safety Administration NTSB National Transportation Safety Board PHMSA Pipeline and Hazardous Materials Safety Administration RITA Research and Innovative Technology Administration SAE Society of Automotive Engineers SAFETEA-LU Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (2005) TCRP Transit Cooperative Research Program TDC Transit Development Corporation TEA-21 Transportation Equity Act for the 21st Century (1998) TRB Transportation Research Board TSA Transportation Security Administration U.S. DOT United States Department of Transportation 

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