Analyzing Safe Epidemic Distancing in Public Transport Buses: A Simulation Study on Passenger Flow

• Autorzy: Chema Wongelawit , Burdzik Rafał , Celiński Ireneusz , Dębicka Ewa

Identyfikatory

DOI

10.5604/01.3001.0054.3106

Warianty tytułu

PL

Analiza bezpiecznego dystansu epidemicznego w autobusach transportu publicznego: badanie symulacyjne przepływu pasażerów

• Języki publikacji: EN PL

Abstrakty

EN

During the COVID-19 pandemic, public transport played a crucial role in maintaining essential services while ensuring the safety of both passengers and staff. As the world gradually resumes operations, the impact of the pandemic is expected to persist for some time. Existing studies focus on virus transmission in vehicles, with limited knowledge about post-pandemic passenger flow, safety, and satisfaction. This paper presents a model of passenger movement in public transport, considering factors like boarding times, movement within stops, and the impact of crowding and delays. To reduce transmission at bus stops, we developed a simulation-based passenger flow model using PTV Vissim. The program was used to simulate passenger exchange scenarios, using data collected from real data. The goal was to create a model that minimizes the risk of infection. By understanding passenger flow and interactions with the public transport system, effective measures can be implemented to mitigate the spread of COVID-19 and other infectious diseases.

PL

Podczas pandemii COVID-19 transport publiczny odegrał kluczową rolę w utrzymaniu podstawowych usług, zapewniając jednocześnie bezpieczeństwo zarówno pasażerów, jak i personelu. W miarę jak świat stopniowo wznawia działalność, oczekuje się, że skutki pandemii utrzymają się przez jakiś czas. Istniejące badania koncentrują się na przenoszeniu wirusów w pojazdach, przy ograniczonej wiedzy na temat przepływu pasażerów, bezpieczeństwa i satysfakcji po pandemii. W artykule przedstawiono model poruszania się pasażerów w transporcie publicznym, biorąc pod uwagę takie czynniki, jak czas wejścia do pojazdu, ruch w obrębie przystanków oraz wpływ zatłoczenia i opóźnień. Aby ograniczyć przekazywanie zakażeń na przystankach autobusowych, opracowaliśmy model przepływu pasażerów oparty na symulacji przy użyciu PTV Vissim. W programie przeprowadzono symulację scenariuszy wymiany pasażerów, wykorzystując dane zebrane z danych rzeczywistych. Celem było stworzenie modelu, który minimalizuje ryzyko infekcji. Rozumiejąc przepływ pasażerów i interakcje z systemem transportu publicznego, można wdrożyć skuteczne środki ograniczające rozprzestrzenianie się Covid-19 i innych chorób zakaźnych.

Słowa kluczowe

EN

pandemic; simulation; risk infection; public transport; passenger

PL

pandemia; symulacja; ryzyko infekcji; transport publiczny; pasażer

• Wydawca: Wydawnictwo ITS
• Czasopismo: Transport Samochodowy
• Rocznik: 2023
• Tom: z. 2
• Strony: 3--7
• Opis fizyczny: Bibliogr. 37 poz., rys., zdj.

Twórcy

autor

Chema Wongelawit

• Silesian University of Technology

autor

Burdzik Rafał

• Silesian University of Technology

autor

Celiński Ireneusz

• Silesian University of Technology

• https://orcid.org/0000-0002-9253-0994

autor

Dębicka Ewa

• Motor Transport Institute

Bibliografia

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