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

Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer review

Resumé

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.
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.
SprogEngelsk
TitelICIS 2018 Pre-Conference Workshop Proceedings : Special Interest Group on Geographic Information Systems
Antal sider12
Udgivelses stedAtlanta, GA
ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
Dato2018
StatusUdgivet - 2018
BegivenhedThe 39th International Conference on Information Systems. ICIS 2018: Bridging the Internet of People, Data, and Things - San Francisco, USA
Varighed: 13 dec. 201816 dec. 2018
Konferencens nummer: 39
https://icis2018.aisconferences.org/

Konference

KonferenceThe 39th International Conference on Information Systems. ICIS 2018
Nummer39
LandUSA
BySan Francisco
Periode13/12/201816/12/2018
Internetadresse

Emneord

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

Citer dette

Flesch, B., Vatrapu, R., Mukkamala, R. R., & Madsen, R. (2018). Visualization of Crowd Trajectory, Geospatial Sets, and Audience Prediction at Roskilde Festival 2018. I 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",
language = "English",
booktitle = "ICIS 2018 Pre-Conference Workshop Proceedings",
publisher = "Association for Information Systems. AIS Electronic Library (AISeL)",

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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. i ICIS 2018 Pre-Conference Workshop Proceedings: Special Interest Group on Geographic Information Systems. Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, The 39th International Conference on Information Systems. ICIS 2018, San Francisco, USA, 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.

Publikation: Kapitel i bog/rapport/konferenceprocesKonferencebidrag i proceedingsForskningpeer 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. I ICIS 2018 Pre-Conference Workshop Proceedings: Special Interest Group on Geographic Information Systems. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2018.