GTFS-ride Adoption Challenges

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GTFS-ride

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Aug 3, 2018, 2:37:13 PM8/3/18
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Greetings consortium members and transit stakeholders,

We are looking to learn more about the challenges and practical considerations for adopting the GTFS-ride data standard. What challenges and practical considerations are most important to focus work upon? Also, please comment if you have information or insights related the following questions:
  • Do you foresee significant challenges in connecting your ridership data to GTFS elements (e.g., trip_id, stop_id, route_id, etc.)?
  • What "wow" factors would add value to your organization and help incentivize the adoption of GTFS-ride? 
  • Would estimates of NTD metrics (e.g., passenger miles traveled/capita, vehicle revenue miles/capita, etc.) be a useful functionality of GTFS-ride support software and help incentivize its adoption?
  • What help or assistance would your organization require to adopt the continued use of GTFS-ride?
  • Are there any partnerships with other organizations that you envision could be beneficial in helping to facilitate the implementation of GTFS-ride?
  • How do you see your organization using GTFS-ride?
  • Does your organization have any current plans for the adoption of the GTFS-ride data standard?
The GTFS-ride project team highly values your feedback and feels these discussion threads will help engage the stakeholder community and further the development of the GTFS-ride data standard.

GTFS-ride

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Aug 14, 2018, 5:51:59 PM8/14/18
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Any of our new members to the group have feedback for the GTFS-ride project team?

Angelic Peters

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Aug 15, 2018, 3:16:20 PM8/15/18
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I foresee a significant challenge for rural agencies, particularly anywhere not using automatic passenger counters, to meet the needs for this project with the data that is currently exportable.

BARNES Matthew M

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Oct 4, 2018, 12:50:59 PM10/4/18
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For GTFS-ride to be a practical option for smaller transit agencies (no dedicated technical staff), there is a need for software tools (GTFS-ride editor + simple analysis functionality) that compare favorably to manual spreadsheet ridership tracking and analysis practices.
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