Crowd behavioural analysis at a mass gathering event

• Autorzy: Yugendar P. , Ravishankar K. V. R.

Identyfikatory

DOI

10.2478/jok-2018-0020

Warianty tytułu

PL

Analiza zachowań tłumu w masowych zgromadzeniach

• Języki publikacji: EN

Abstrakty

EN

Religious occasions, gathering at fairs and terminals, are the events of crowd gatherings. Such gatherings act as severe threats for crowds because of high density in less space, which ends up in adverse outcomes resulting in crowd stampedes. The movement of an individual person in a crowd is influenced by the physical factors. In the present study, characteristics like age, gender, group size, child holding, child carrying, people with luggage and without luggage are considered for crowd behaviour analysis. The average speed of the crowd movement was observed as 0.86 m/s. The statistical analysis concluded that there was a significant effect of age, gender, density and luggage on the crowd walking speed. Multi-linear regression (MLR) model was developed between crowd speed and significant factors observed from the statistical analysis. Location 1 data was used for the model development. This developed model was validated using Location 2 data. Gender has more significant effect on speed followed by luggage and age. This study helps in proper dispersal of crowd in a planned manner to that of diversified directional flow that exist during crowd gathering events.

PL

Uroczystości religijne, targi czy zbiorowiska ludzkie na terminalach są przykładami masowych zgromadzeń. Stanowią one istotne zagrożenie dla tłumu ze względu na duże zagęszczenie ludzi na mniejszej przestrzeni, które przynosi negatywne efekty w postaci wzajemnego tratowania się. Na ruch poszczególnych osób w tłumie wpływają czynniki fizyczne. Analiza zachowań tłumu przedstawiona w niniejszym opracowaniu uwzględnia takie cechy jak wiek, płeć, wielkość grupy, trzymanie dziecka, niesienie dziecka, bagaż lub jego brak. Zaobserwowana średnia prędkość poruszania się tłumu wyniosła 0,86 m/s. Analiza statystyczna wykazała, że znaczący wpływ na prędkość, z jaką idzie tłum, miały wiek płeć, gęstość oraz bagaż. Model regresji wielolorakiej (MLR) został opracowany dla ujęcia związku pomiędzy prędkością a istotnymi czynnikami zaobserwowanymi w analizie statystycznej. Do opracowania modelu wykorzystano dane z lokalizacji 1. Opracowany model został zwalidowany z wykorzystaniem danych z lokalizacji 2. Płeć ma większy wpływ na prędkość niż odpowiednio bagaż oraz wiek. Niniejsze opracowanie pomaga we właściwym rozpraszaniu tłumu w zaplanowany sposób dostosowany do zróżnicowanego przepływu kierunkowego charakterystycznego dla masowych zgromadzeń.

Słowa kluczowe

EN

age; crowd; gender; group; luggage; speed

PL

wiek; tłum; płeć; grupa; bagaż; prędkość

• Wydawca: Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONBiN
• Rocznik: 2018
• Tom: No. 46
• Strony: 5--20
• Opis fizyczny: Bibliogr. 32 poz., rys., tab.

Twórcy

autor

Yugendar P.

• National Institute of Technology Warangal, Telangana State, India

autor

Ravishankar K. V. R.

• National Institute of Technology Warangal, Telangana State, India

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).