Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018

Benjamin Flesch, Ravi Vatrapu, Raghava Rao Mukkamala, René Madsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

We present a large-scale study on Geospatial Big Data Analytics in a festival management and crowd safety scenario based on our volunteer work at the largest music festival in Northern Europe, the 2017 and 2018 Roskilde music festival. As large crowds move between concerts, campsites, private parties and public viewing of the FIFA world cup soccer matches across the vast festival area, previously available visualization solutions for the crowd safety staff at Roskilde Festival lack a real-time visualization of crowd trajectory for monitoring of previously known chokepoints and the discovery of potential future chokepoints. We present a real-time visualization of crowd trajectory based on mobile device GPS data that is collected through the festival’s smartphone app from a significant subset of all festivalgoers. Hence, we present a recent case for the applications of real-time visualization of geospatial data for large-scale open-air events outside the confinements of urban architecture. Furthermore, we investigate and quantify the phenomenon of festivalgoers staying at the camping areas and sometimes not once visiting the musical performances in the inner perimeters of the festival, thereby finding that up to 3,000 festivalgoers both in 2017 and 2018 chose to not attend musical performances at all. Subsequently, we evaluate a Facebook-based approach on concert audience prediction based on social media audience overlaps between artist and festival Facebook pages, and benchmark its predictive power with a GPS-based measurement of audience sizes based on mobile device GPS data.
Original languageEnglish
Title of host publicationICIS 2018 Pre-Conference Workshop Proceedings : Special Interest Group on Geographic Information Systems
Number of pages12
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2018
Publication statusPublished - 2018
EventThe 39th International Conference on Information Systems. ICIS 2018: Bridging the Internet of People, Data, and Things - San Francisco, United States
Duration: 13 Dec 201816 Dec 2018
Conference number: 39
https://icis2018.aisconferences.org/

Conference

ConferenceThe 39th International Conference on Information Systems. ICIS 2018
Number39
CountryUnited States
CitySan Francisco
Period13/12/201816/12/2018
Internet address

Keywords

  • Spatial analysis
  • Crowd safety
  • Real-time visualization
  • Crowd trajectory
  • Audience prediction
  • Crowd mapping
  • Geospatial set comparison

Cite this

Flesch, B., Vatrapu, R., Mukkamala, R. R., & Madsen, R. (2018). Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018. In ICIS 2018 Pre-Conference Workshop Proceedings: Special Interest Group on Geographic Information Systems Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL).
Flesch, Benjamin ; Vatrapu, Ravi ; Mukkamala, Raghava Rao ; Madsen, René. / Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018. ICIS 2018 Pre-Conference Workshop Proceedings: Special Interest Group on Geographic Information Systems. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2018.
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title = "Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018",
abstract = "We present a large-scale study on Geospatial Big Data Analytics in a festival management and crowd safety scenario based on our volunteer work at the largest music festival in Northern Europe, the 2017 and 2018 Roskilde music festival. As large crowds move between concerts, campsites, private parties and public viewing of the FIFA world cup soccer matches across the vast festival area, previously available visualization solutions for the crowd safety staff at Roskilde Festival lack a real-time visualization of crowd trajectory for monitoring of previously known chokepoints and the discovery of potential future chokepoints. We present a real-time visualization of crowd trajectory based on mobile device GPS data that is collected through the festival’s smartphone app from a significant subset of all festivalgoers. Hence, we present a recent case for the applications of real-time visualization of geospatial data for large-scale open-air events outside the confinements of urban architecture. Furthermore, we investigate and quantify the phenomenon of festivalgoers staying at the camping areas and sometimes not once visiting the musical performances in the inner perimeters of the festival, thereby finding that up to 3,000 festivalgoers both in 2017 and 2018 chose to not attend musical performances at all. Subsequently, we evaluate a Facebook-based approach on concert audience prediction based on social media audience overlaps between artist and festival Facebook pages, and benchmark its predictive power with a GPS-based measurement of audience sizes based on mobile device GPS data.",
keywords = "Spatial analysis, Crowd safety, Real-time visualization, Crowd trajectory, Audience prediction, Crowd mapping, Geospatial set comparison, Spatial analysis, Crowd safety, Real-time visualization, Crowd trajectory, Audience prediction, Crowd mapping, Geospatial set comparison",
author = "Benjamin Flesch and Ravi Vatrapu and Mukkamala, {Raghava Rao} and Ren{\'e} Madsen",
year = "2018",
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booktitle = "ICIS 2018 Pre-Conference Workshop Proceedings",
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Flesch, B, Vatrapu, R, Mukkamala, RR & Madsen, R 2018, Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018. in ICIS 2018 Pre-Conference Workshop Proceedings: Special Interest Group on Geographic Information Systems. Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, San Francisco, United States, 13/12/2018.

Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018. / Flesch, Benjamin; Vatrapu, Ravi; Mukkamala, Raghava Rao; Madsen, René.

ICIS 2018 Pre-Conference Workshop Proceedings: Special Interest Group on Geographic Information Systems. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2018.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018

AU - Flesch, Benjamin

AU - Vatrapu, Ravi

AU - Mukkamala, Raghava Rao

AU - Madsen, René

PY - 2018

Y1 - 2018

N2 - We present a large-scale study on Geospatial Big Data Analytics in a festival management and crowd safety scenario based on our volunteer work at the largest music festival in Northern Europe, the 2017 and 2018 Roskilde music festival. As large crowds move between concerts, campsites, private parties and public viewing of the FIFA world cup soccer matches across the vast festival area, previously available visualization solutions for the crowd safety staff at Roskilde Festival lack a real-time visualization of crowd trajectory for monitoring of previously known chokepoints and the discovery of potential future chokepoints. We present a real-time visualization of crowd trajectory based on mobile device GPS data that is collected through the festival’s smartphone app from a significant subset of all festivalgoers. Hence, we present a recent case for the applications of real-time visualization of geospatial data for large-scale open-air events outside the confinements of urban architecture. Furthermore, we investigate and quantify the phenomenon of festivalgoers staying at the camping areas and sometimes not once visiting the musical performances in the inner perimeters of the festival, thereby finding that up to 3,000 festivalgoers both in 2017 and 2018 chose to not attend musical performances at all. Subsequently, we evaluate a Facebook-based approach on concert audience prediction based on social media audience overlaps between artist and festival Facebook pages, and benchmark its predictive power with a GPS-based measurement of audience sizes based on mobile device GPS data.

AB - We present a large-scale study on Geospatial Big Data Analytics in a festival management and crowd safety scenario based on our volunteer work at the largest music festival in Northern Europe, the 2017 and 2018 Roskilde music festival. As large crowds move between concerts, campsites, private parties and public viewing of the FIFA world cup soccer matches across the vast festival area, previously available visualization solutions for the crowd safety staff at Roskilde Festival lack a real-time visualization of crowd trajectory for monitoring of previously known chokepoints and the discovery of potential future chokepoints. We present a real-time visualization of crowd trajectory based on mobile device GPS data that is collected through the festival’s smartphone app from a significant subset of all festivalgoers. Hence, we present a recent case for the applications of real-time visualization of geospatial data for large-scale open-air events outside the confinements of urban architecture. Furthermore, we investigate and quantify the phenomenon of festivalgoers staying at the camping areas and sometimes not once visiting the musical performances in the inner perimeters of the festival, thereby finding that up to 3,000 festivalgoers both in 2017 and 2018 chose to not attend musical performances at all. Subsequently, we evaluate a Facebook-based approach on concert audience prediction based on social media audience overlaps between artist and festival Facebook pages, and benchmark its predictive power with a GPS-based measurement of audience sizes based on mobile device GPS data.

KW - Spatial analysis

KW - Crowd safety

KW - Real-time visualization

KW - Crowd trajectory

KW - Audience prediction

KW - Crowd mapping

KW - Geospatial set comparison

KW - Spatial analysis

KW - Crowd safety

KW - Real-time visualization

KW - Crowd trajectory

KW - Audience prediction

KW - Crowd mapping

KW - Geospatial set comparison

M3 - Article in proceedings

BT - ICIS 2018 Pre-Conference Workshop Proceedings

PB - Association for Information Systems. AIS Electronic Library (AISeL)

CY - Atlanta, GA

ER -

Flesch B, Vatrapu R, Mukkamala RR, Madsen R. Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018. In ICIS 2018 Pre-Conference Workshop Proceedings: Special Interest Group on Geographic Information Systems. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2018