|Table of Contents|

System dynamics simulation on spread of COVID-19 by traffic and transportation(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2020年03期
Page:
100-109
Research Field:
交通运输规划与管理
Publishing date:

Info

Title:
System dynamics simulation on spread of COVID-19 by traffic and transportation
Author(s):
CHONG Peng-yun1;  YIN Hui2
(1. Safety Research Center of Traffic and Transportation, Yunnan Science Research Institute of Communication Co., Ltd., Kunming 650011, Yunnan, China; 2. Kunming Engineering Corporation Limited, Power China, Kunming 650051, Yunnan, China)
Keywords:
traffic system;  spread of COVID-19;  system dynamics;  modeling and simulation;  causal loop;  stock and flow
PACS:
U491.2
DOI:
10.19818/j.cnki.1671-1637.2020.03.009
Abstract:
To research the influence of traffic and transportation on the spread of corona virus disease 2019(COVID-19), the model of COVID-19 spreaded by traffic and transportation was established based on the system dynamics. Based on the hypothesis of model, the population was divided into the susceptible individual, explored individual, infected individual and removed individual. According to the spreading characteristics of COVID-19, the modified susceptible-explored-infected-removed(SEIR)and susceptible-explored-infected(SEI)spreading dynamics equations of COVID-19 of epidemic area, port, station,car, ship and related area were established under the influence of traffic and transportation. Based on the analysis of spread process of COVID-19 by traffic and transportation, a causal loop of the system dynamics model of traffic and transportation spreading the COVID-19 was drawn, and a causality feedback loop was analyzed. The model of COVID-19 spreaded by traffic and transportation was established based on the system dynamics, and the dimensional consistency, mechanical error, model validity, and extreme condition of the model were tested. Taking the City A as the research example, the influence of traffic and transportation on the spread of COVID-19 was researched by establishing three simulation scenarios. Simulation result shows that the number of individuals infected with the COVID-19 in City A reaches a peak on the 32nd day after the outbreak, and 77 726 people were infected, and that of the area outside the City A reaches the peak on the 30th day after the outbreak, and 28 084 people were infected. The traffic and transportation have positive feedback effects on the spread of COVID-19. The peak volumes of infected and removed individuals of COVID-19 under the influence of traffic and transportation are 18.62 and 10.99 times of those without the participation of traffic and transportation, respectively. Therefore, the traffic control measures have a positive effect on controlling the development and preventing the spread of COVID-19. The increase of public transport proportion will accelerate the spread of COVID-19. Therefore, reducing people's travel demands and the proportion of public transport, and increasing the virus elimination work of public transportation car, ship, port and station can effectively slow down the spread of COVID-19. 1 tab, 12 figs, 30 refs.

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Last Update: 2020-07-10