Analyzing Incident Management Event Sequences with Interactive Visualization

While traditional safety and incident analysis has mostly focused on incident attributes data, such as the location and time of the incident, there are other aspects in incident response that are temporal in nature and are more difficult to analyze. We describe a visual analytics tool for temporal data exploration, called LifeFlow, used for the analysis of incident response data. LifeFlow provides user-controlled overviews of event sequences (e.g. notification, arrival, clearance etc). It allows analysts to interactively explore temporal patterns, find anomalies in sequences and compare management practices. This type of analysis can potentially lead to process improvements and save human lives. We used NCHRP traffic incident data with more than 200,000 incidents are reported by eight different agencies in a period of about 28 months. Our experience suggest that even non expert analysts can spot many anomalies in the data using the LifeFlow overviews, and are able to rapidly ask many questions and find differences between agencies.

[1]  Rajesh Subramanian,et al.  Motor Vehicle Traffic Crashes as a Leading Cause of Death in the United States, 2006 , 2003 .

[2]  Michael Lee Pack,et al.  Real-Time and Historic Incident Visualization Using Timelines , 2007 .

[3]  Edward R. Tufte,et al.  The Visual Display of Quantitative Information , 1986 .

[4]  Ben Shneiderman,et al.  LifeLines: using visualization to enhance navigation and analysis of patient records , 1998, AMIA.

[5]  Darya Filippova,et al.  ICE--visual analytics for transportation incident datasets , 2009, 2009 IEEE International Conference on Information Reuse & Integration.

[6]  Ben Shneiderman,et al.  Finding comparable temporal categorical records: A similarity measure with an interactive visualization , 2009, 2009 IEEE Symposium on Visual Analytics Science and Technology.

[7]  Ben Shneiderman,et al.  Aligning temporal data by sentinel events: discovering patterns in electronic health records , 2008, CHI.

[8]  Jean-Daniel Fekete The InfoVis Toolkit , 2004 .

[9]  Catherine Plaisant,et al.  Understanding Transportation Management Systems Performance with a Simulation-Based Learning Environment , 1998 .

[10]  Michael L. Pack,et al.  Visualization in Transportation: Challenges and Opportunities for Everyone , 2010, IEEE Computer Graphics and Applications.

[11]  Chris North,et al.  Temporal, geographical and categorical aggregations viewed through coordinated displays: a case study with highway incident data , 1999, NPIVM '99.

[12]  Ben Shneiderman,et al.  Ordered and quantum treemaps: Making effective use of 2D space to display hierarchies , 2002, TOGS.