Analytical workflow of monitoring human mobility in big event settings using Bluetooth

Authors:
Hendrik Stange;Thomas Liebig;Dirk Hecker;Gennady Andrienko;Natalia Andrienko
Affiliations:
Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin;University of Bonn, Bonn;Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin;Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin;Fraunhofer IAIS, Schloss Birlinghoven, Sankt Augustin
Venue:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Year:
2011

Citing 7
Cited 2

Supporting visual exploration of object movement

AVI '00 Proceedings of the working conference on Advanced visual interfaces
Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications

Computational Statistics & Data Analysis - Data visualization
Flow Map Layout

INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Visual analytics tools for analysis of movement data

ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Digital Footprinting: Uncovering Tourists with User-Generated Content

IEEE Pervasive Computing
Bluetooth Tracking without Discoverability

LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Declarative support for sensor data cleaning

PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing

Crowds, bluetooth, and rock'n'roll: understanding music festival participant behavior

Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
Using Bluetooth to track mobility patterns: depicting its potential based on various case studies

Proceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness

Quantified Score

Hi-index	0.00

Visualization

Abstract

In recent times, consumer research at major social events received significant interest by organizing companies. Understanding the movements and motivations of the customers enables new business strategies and is needed to minimize the risk of investment. The spatiotemporal complexity of major events poses high demands on survey and analytical methods. New technological advances in both event monitoring systems and evaluation methods of movement data provide new insights into the behavioral patterns of customers by preserving their privacy. In this paper we present a work that seeks to systematize the research process of design, collection, and analysis of visitor behavior in a mixed indoor-outdoor event setting using Bluetooth sensor technology. The defined workflow is comprised of 5 steps and designed to answer heterogeneous business questions with respect to customer movement behavior in a single event context. Our approach is applied in a real-world business application for a Formula 1 event.