Evaluation of Different Phases of Covid-19 Pandemic using by Hybrid Approach Modeling

Abstract

Abstract The COVID-19 pandemic has presented major difficulties to public health organizations and governments all over the world. Administrations have taken various measures to prevent the spread of COVID-19 virus, which emerged instantly, about which they did not know much, and which was defined as a pandemic by WHO on March 11, 2020 (WHO, 2022). Within the scope of this study, it is aimed to establish a hybrid model of the impacts of the pandemic on passenger behavior and transportation mode preferences and to evaluate passenger behavior accordingly. Hybrid model consists of cluster analysis and discrete choice models in order. First of all, a comprehensive survey was conducted via online platform to determine the travel behaviors of individuals in three phases of the pandemic which are before (pre-COVID19), during (during COVID19), and after the pandemic (post-COVID19). As a result of the models, it can be said that the factors affecting the mode preference of individuals do not differ between COVID sensitive or COVID unrelated clusters. However, when the effect on mode selection is examined, it seems that these factors have a greater effect on mode preference choices for the COVID sensitive cluster. With the effect of the pandemic, people's perceptions about public transportation modes have been negatively affected.