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Improving Access and Management of Public Transit ITS Data (2022) / Chapter Skim
Currently Skimming:

1. Introduction
Pages 7-10

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 7...
... It also describes how the data structure fits into potential transit agency data flow processes that take ITS data provided by vendors, organize and validate it, and use it to calculate key performance indicators (KPIs)
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From page 8...
... The review included literature and reports on how transit agencies use ITS data, to understand the value of ITS data for transit agencies, as well as their needs. The research team also reviewed existing data standards to identify relevant linkages as well as to understand lessons learned from prior standards-making efforts.
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From page 9...
... 1.2.4 Testing Workshops with Transit Agencies and Online Feedback Process After developing a draft data structure and tool requirements and sharing them with the Project Panel for input, the research team conducted testing workshops with three transit agencies. The selected transit agencies varied in size and transit modes, but all three had invested significant effort into their own ITS data management.
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From page 10...
... Based on the testing workshops and the online feedback, the research team made changes to the data structure and tool requirements.
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Key Terms

  • data structure
  • data standards
  • tool requirements
  • transit agency
  • transit data

  • testing workshops
  • public transit
  • proposed data
  • team conducted
  • data flow

  • data transfer
  • research process
  • agency staff
  • agency interviews
  • online feedback

  • stakeholder interviews
  • mailing lists
  • initial workshop
  • fare collection
  • agency data

  • sample data
  • data structures
  • draft data
  • streamline data
  • transferring data

  • documenting data
  • data fields
  • data provided
  • data standard
  • schedule data


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