Crowd dynamics and control in high-volume metro rail stations

Overcrowding in mass rapid transit stations is a chronic issue affecting daily commute in Metro Manila, Philippines. As a high-capacity public transportation, the Metro Rail Transit has been operating at a level above its intended capacity of 350,000 passengers daily. Despite numerous efforts in imp...

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Main Authors: Samson, Briane Paul V., Aldanese, Crisanto R., Chan, Deanne Moree C., San Pascual, Jona Joyce S., Sido, Ma. Victoria Angelica P.
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Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2866
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-38652021-11-15T02:41:36Z Crowd dynamics and control in high-volume metro rail stations Samson, Briane Paul V. Aldanese, Crisanto R. Chan, Deanne Moree C. San Pascual, Jona Joyce S. Sido, Ma. Victoria Angelica P. Overcrowding in mass rapid transit stations is a chronic issue affecting daily commute in Metro Manila, Philippines. As a high-capacity public transportation, the Metro Rail Transit has been operating at a level above its intended capacity of 350,000 passengers daily. Despite numerous efforts in implementing an effective crowd control scheme, it still falls short in containing the formation of crowds and long lines, thus affecting the amount of time before they can proceed to the platforms. A crowd dynamics model of commuters in one of the high-volume terminal stations, the Taft Ave station, was developed to help discover emergent behavior in crowd formation and assess infrastructure preparedness. The agent-based model uses static floor fields derived from the MRT3 live feed, and implements a number of social force models to optimize the path-finding of the commuter agents. Internal face validation, historical validation and parameter variability-sensitivity analysis were employed to validate the crowd dynamics model and assess different operational scenarios. It was determined that during peak hours, when the expected crowd inflow may reach up to 7,500 commuters, at least 11 ticket booths and 6 turnstiles should be open to have low turnaround times of commuters. For non-peak hours, at least 10 ticket booths and 5 turnstiles are needed to handle a crowd inflow reaching up to 5,000 commuters. In the current set-up, the usual number of ticket booths open in the MRT Taft Station is 11, and there are usually 6 turnstiles open. It was observed that as the crowd inside the station increases to 200-250 commuters, there is a significant increase in the increase rate of the turnaround times of the commuters, which signifies the point at which the service provided starts to degrade and when officials should start to intervene. 2017-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2866 Faculty Research Work Animo Repository Street-railroads--Philippines--Metro Manila Crowd control--Philippines--Metro Manila Commuting--Philippines--Metro Manila Commuters--Philippines--Metro Manila Computer Sciences
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Street-railroads--Philippines--Metro Manila
Crowd control--Philippines--Metro Manila
Commuting--Philippines--Metro Manila
Commuters--Philippines--Metro Manila
Computer Sciences
spellingShingle Street-railroads--Philippines--Metro Manila
Crowd control--Philippines--Metro Manila
Commuting--Philippines--Metro Manila
Commuters--Philippines--Metro Manila
Computer Sciences
Samson, Briane Paul V.
Aldanese, Crisanto R.
Chan, Deanne Moree C.
San Pascual, Jona Joyce S.
Sido, Ma. Victoria Angelica P.
Crowd dynamics and control in high-volume metro rail stations
description Overcrowding in mass rapid transit stations is a chronic issue affecting daily commute in Metro Manila, Philippines. As a high-capacity public transportation, the Metro Rail Transit has been operating at a level above its intended capacity of 350,000 passengers daily. Despite numerous efforts in implementing an effective crowd control scheme, it still falls short in containing the formation of crowds and long lines, thus affecting the amount of time before they can proceed to the platforms. A crowd dynamics model of commuters in one of the high-volume terminal stations, the Taft Ave station, was developed to help discover emergent behavior in crowd formation and assess infrastructure preparedness. The agent-based model uses static floor fields derived from the MRT3 live feed, and implements a number of social force models to optimize the path-finding of the commuter agents. Internal face validation, historical validation and parameter variability-sensitivity analysis were employed to validate the crowd dynamics model and assess different operational scenarios. It was determined that during peak hours, when the expected crowd inflow may reach up to 7,500 commuters, at least 11 ticket booths and 6 turnstiles should be open to have low turnaround times of commuters. For non-peak hours, at least 10 ticket booths and 5 turnstiles are needed to handle a crowd inflow reaching up to 5,000 commuters. In the current set-up, the usual number of ticket booths open in the MRT Taft Station is 11, and there are usually 6 turnstiles open. It was observed that as the crowd inside the station increases to 200-250 commuters, there is a significant increase in the increase rate of the turnaround times of the commuters, which signifies the point at which the service provided starts to degrade and when officials should start to intervene.
format text
author Samson, Briane Paul V.
Aldanese, Crisanto R.
Chan, Deanne Moree C.
San Pascual, Jona Joyce S.
Sido, Ma. Victoria Angelica P.
author_facet Samson, Briane Paul V.
Aldanese, Crisanto R.
Chan, Deanne Moree C.
San Pascual, Jona Joyce S.
Sido, Ma. Victoria Angelica P.
author_sort Samson, Briane Paul V.
title Crowd dynamics and control in high-volume metro rail stations
title_short Crowd dynamics and control in high-volume metro rail stations
title_full Crowd dynamics and control in high-volume metro rail stations
title_fullStr Crowd dynamics and control in high-volume metro rail stations
title_full_unstemmed Crowd dynamics and control in high-volume metro rail stations
title_sort crowd dynamics and control in high-volume metro rail stations
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/2866
_version_ 1718382664416755712