cf. city flows - A comparative visualization of urban bike mobility

cf. city flows is a comparative visualization environment of urban bike mobility designed to help citizens casually analyze three bike-sharing systems in the context of a public exhibition space.

By Till Nagel and Christopher Pietsch.
Urban Complexity Lab, FH Potsdam
http://uclab.fh-potsdam.de/

This talk introduces the project and some of its goals and visualizations, and shows our design process in analyzing the data and designing the visualizations.

cf. city flows was exhibited at the Streams and Traces in November 2015 in Berlin. Find more information at http://streamsandtraces.com/

More information coming soon.

Transcript

1. cf. city flows Till Nagel & Christopher Pietsch A comparative visualization of urban bike mobility MapTime Berlin, 28 June 2016
2. National Geographic Meandering design process
3. Urban data visualizations Our previous work
4. Touching Transport Shanghai Metro Flow Isoscope LiquiData
9. Concept General idea of the project
10. cf. city flows is a visualization of urban bike mobility.
11. cf. city flows is a visualization of urban bike mobility designed to help citizens analyze bike-sharing system.
12. cf. city flows is a visualization of urban bike mobility designed to help citizens casually analyze bike-sharing systems in the context of a public exhibition space.
13. cf. city flows is a visualization environment of urban bike mobility designed to help citizens casually analyze bike- sharing systems in the context of a public exhibition space. Large screens show the space of flows in bike sharing.
14. cf. city flows is a comparative visualization environment of urban bike mobility designed to help citizens casually analyze three bike-sharing systems in the context of a public exhibition space. Multiple large screens show the space of flows in bike sharing for three selected cities: New York, Berlin, and London.
15. cf. city flows is a comparative visualization environment of urban bike mobility designed to help citizens casually analyze three bike-sharing systems in the context of a public exhibition space. Multiple large screens show the space of flows in bike sharing for three selected cities: New York, Berlin, and London. Bike journeys are represented in three geospatial visualizations.
16. cf. city flows is a comparative visualization environment of urban bike mobility designed to help citizens casually analyze three bike-sharing systems in the context of a public exhibition space. Multiple large screens show the space of flows in bike sharing for three selected cities: New York, Berlin, and London. Bike journeys are represented in three geospatial visualizations designed to be progressively more analytical, from animated trails to small-multiple glyphs.
18. Bike Sharing Data Collecting, processing, and analyzing data sets
19. London Santander Cycles Berlin Call a Bike New York Citibike alan levin RudolfSimon Nick-D
20. London Santander Cycles Berlin Call a Bike New York Citibike 20° C 3 June 2015 21° C 21° C alan levin RudolfSimon Nick-D
25. Raw data
26. Visual Experiments Digging into the data
35. HERE Routing API
42. Design Considerations Comparing vastly different cities
43. Basemap Till Nagel
44. Comparing cities The Star, grid by Robin Chubb Eurostat
46. Scaling maps
47. Scaling data encoding
49. Three viewing modes Different levels of spatial and temporal granularity
50. •  City-wide view •  Station view •  Small-multiple view Three viewing modes
51. City-wide view
52. Station view
53. Small-multiple view
54. Staged Analysis From Evocative to Comparative Visualizations
57. Transitions
58. Guide through visualizations
59. Exhibition Streams & Traces
60. Website: Phillip Kortlang & Chris Magiera
61. Product design: Samira Akhavan, Andrea Biedermann, Christian Münch
69. Observations Feedback and Insights
70. Photo: Stephanie Neumann Comparisons as conversation starters
71. Challenging complexity
72. Süddeutsche Zeitung
73. Thank you. http://tillnagel.com – twitter: @tillnm Dr. Till Nagel & Christopher Pietsch Urban Complexity Lab, FH Potsdam