Analysis of taxi travels during an epidemic period using system dynamics method
This paper explores the factors influencing taxi travel in the context of COVID-19 from both demand and supply sides and provides a quantitative comparison of taxi travel characteristics and taxi industry operations before and after the epidemic. A model was established using system dynamics to simu...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/365210 |
| Acceso en línea: | https://hdl.handle.net/2117/365210 https://dx.doi.org/10.3390/su14063457 |
| Access Level: | acceso abierto |
| Palabra clave: | COVID-19 Pandemic, 2020- Taxicabs Transportation--Passenger traffic COVID-19 Taxi travel Demand and supply System dynamics Pandèmia de COVID-19, 2020- Taxis Transport de viatgers Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions::Modelització de transports i logística Àrees temàtiques de la UPC::Enginyeria civil::Infraestructures i modelització dels transports |
| Sumario: | This paper explores the factors influencing taxi travel in the context of COVID-19 from both demand and supply sides and provides a quantitative comparison of taxi travel characteristics and taxi industry operations before and after the epidemic. A model was established using system dynamics to simulate a taxi travel system, which was used to analyze the changes in demand and supply of taxi travel under scenarios such as closedowns, travel restrictions, etc. The analysis is based on a typical middle-sized city in China, Ningbo in Zhejiang Province, revealing factors leading to the significant drop in the amount of taxi travel due to the epidemic. The study can provide insights into impacts of public (or similar anomalous or catastrophic) events on taxi travel systems and could be useful for urban transport planning and management. |
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