A Time-Location-Based Itinerary Visualization

Size: px

Start display at page:

Download "A Time-Location-Based Itinerary Visualization"

Blake Dawson
6 years ago
Views:

1 A Time-Location-Based Itinerary Visualization Florian Haag 1, Thomas Schlegel 2, Thomas Ertl 1 1 Institute for Visualization and Interactive Systems, {Florian.Haag, Thomas.Ertl}@vis.uni-stuttgart.de 2 Junior Professorship Software Engineering of Ubiquitous Systems, Technische Universität Dresden Thomas.Schlegel@tu-dresden.de March 12, 2015 Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

2 Motivation Itinerary Search i System can provide some information Travelers have their own information may know places may access different data sources... Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

3 Motivation Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

4 Motivation Required knowledge: Where are the stopovers? How much time is available at each of them? Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

5 Motivation Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

6 Motivation Required knowledge: Which are the mutual stopovers? How much overlapping time is available there? Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

7 Tabular Current Approaches complete information requires much space no direct visual comparison Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

8 Timelines Current Approaches clear temporal information only implicit information about routes no visual comparison of matching stopovers Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

9 Current Approaches Route Graph different routes are obvious (are they?) additional information (stopover durations) can be indicated issues: same route, different times? same stopover, overlapping, but slightly different times? map overlay possible (but then even less space for temporal information) Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

10 Matrix View (Keller et al., 2011) Current Approaches Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

11 Spatiotemporal Concepts Current Approaches Space-Time-Chart Separate spatial and temporal displays Space-Time-Cube Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

12 Goals Time-Location-Based Approach Create an itinerary visualization that allows to be aware of stopover locations... be aware of stopover durations... compare stopover locations across itineraries... compare arrival and departure times across itineraries... display various itineraries in a space-efficient manner Additional information about transportation lines and walking distances is desirable! Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

13 Basic Layout Time-Location-Based Approach Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

14 Cell Layout Time-Location-Based Approach Only applies to relevant (with a stopover) cells! Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

15 Cell Layout Time-Location-Based Approach Only applies to relevant (with a stopover) cells! Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

16 Complete View Time-Location-Based Approach Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

17 Time-Location-Based Approach Exemplary Itineraries Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

18 Time-Location-Based Approach Order of Locations Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

Evaluation www.vis.uni-stuttgart.de 11 participants 4 tasks frequent users of public transportation in Dresden comparison with timeline visualization (Öffi): departure, arrival, number of routes, etc.

19 Evaluation 11 participants 4 tasks frequent users of public transportation in Dresden comparison with timeline visualization (Öffi): departure, arrival, number of routes, etc. available time and walking distance identify order find meeting opportunity The study used real data from the transportation network of Stuttgart. Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

20 Results Evaluation correctness of answers varied origin/destination not obvious number of routes can be recognized walking time/distance redundant? reordering liked; connection lines necessary, but confusing Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

21 Conclusions and Future Work Current itinerary visualizations are problematic for planning stopovers. We propose a time-location-based itinerary visualization. Small user study suggests that some visual elements need to be clarified. Visualization might be useful for other event-related information. This research was funded through the IP-KOM-ÖV project (German Federal Ministry for Economic Affairs and Energy (BMWi) grant number 19P10003N). Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

22 Order of Locations I Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

23 Order of Locations II Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

24 Order of Locations III Haag, Schlegel, Ertl A Time-Location-Based Itinerary Visualization / 18

Measuring Productivity for Car Booking Solutions

Measuring Productivity for Car Booking Solutions Value Creation Study Rebecca Bartlett 20th January 2014 Table of Contents Executive Summary Introduction Method Productivity Analysis Scenario 1 Scenario