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San Francisco has invested in a Transit Signal Priority (TSP) system, which helps buses get green lights more often After implementing TSP on several lines, the city now has data to be able to answer the key question: Is Transit Signal Priority resulting in improvements to travel time for MUNI bus riders?

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SFMTA TSP

Motivation

  • San Francisco has invested in a Transit Signal Priority (TSP) system, which helps buses get green lights more often.
  • After implementing TSP on several lines, the city now has data to be able to answer the key question:
    • Is Transit Signal Priority resulting in improvements to travel time for MUNI bus riders?

Goal

  • Build a web tool that allows SFMTA staff (and other interested parties) to:
    • Visualize travel time improvement over time at different levels of data, including:
      • Different stops / intersections
      • Various times of day
      • Different kinds of intersection (near vs. far side stop, types of signals)
    • Visualize “dwelltime,” or how long buses stay at different stops
    • Filter and otherwise explore data on their own

Design Strategy

  • Visualization Tool
  • Key Interaction: Comparisons of Travel Time
    • Stop Type:
      • Outbound vs. Inbound
      • Near side vs. Far side stops
    • Time:
      • Day of Week
      • Time of Day
    • Individual Condition:
      • Traffic Lights between Stops
  • Key Metric:
    • Distributions of Bus Speed Before vs. After TSP

Evaluation Strategy

  • Analytic Evaluation by the SFMTA staff:
    • A heuristic evaluation by the SFMTA staff providing a rating on the usability of the visualization in answering the key question, “Is Transit Signal Priority resulting in improvements to travel time for MUNI bus riders?”
    • Cognitive walk-throughs of the prototype for specific tasks using available features of the visualization
      • Will the user use a given feature?
      • If so, is the control for the action visible?
      • Is there a perceptible link between control and action?
      • Is the feedback from the feature appropriate?
  • Empirical Evaluation by the project team:
    • A qualitative evaluation of the important features of the visualization by:
      • sending questionnaires/surveys to the users asking them specific to rate features of visualizations
      • conducting interviews with the users-- both individually and as part of focus groups, asking specific questions to prompt user’s judgement of the visualization
      • observing the users while using and interpreting the visualizations with and without any directions given by the project team

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San Francisco has invested in a Transit Signal Priority (TSP) system, which helps buses get green lights more often After implementing TSP on several lines, the city now has data to be able to answer the key question: Is Transit Signal Priority resulting in improvements to travel time for MUNI bus riders?

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