Performing Structural Equation Modeling in Public Transport Through COVID-19 Pandemic Time.

Autor: Jehad, Ali Emad, Mahdi, Noor Jabbar, Shehab, Rania H., Al-Hadidy, Abdul-Rahim I.
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Zdroj: International Journal of Sustainable Development & Planning; Jul2023, Vol. 18 Issue 7, p2301-2307, 7p
Abstrakt: Traveling via public transportation is a better option than driving a private car and should be encouraged to reduce congestion, pollution, and fuel costs. However, due to COVID-19 pandemic, governments restrict the use of public transportation in order to limit infection spread. This study intends to identify travelers' attitudes and preferences for using public transportation during the COVID-19 epidemic using structural equation modeling (SEM). A questionnaire survey was created to analyze travelers' behavior, attitudes, perceived risk, and sense of responsibility when utilizing public transportation in Baghdad, Iraq. 234 complete responses were analyzed using the Structural Equation Modeling technique. The survey findings and measurement equations supported the relationship between observable and latent variables. The SEM results demonstrated that travelers' Perceived (PER) and Responsibility (RES) are favorably connected to Attitudes (ATT), whereas Behavior (BEH) towards public transportation is adversely related to Attitudes (ATT). To assess the confirmatory of measurement scale, confirmatory factor analysis (CFA) measurement was combined with nine Goodness-of-Fit measurements: Chi-square, Chi-square/df, RMR, GFI, AGFI, NFI, TLI, CFI, and RMSEA. This study highlights the findings of structural equation modeling research of using public transport through pandemic time in term of travel behaviors to improve the quality of service of public transport. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index