ArticleFrontiers in public health2022
Understanding the motivational mechanisms behind the usage frequency of ride-hailing during COVID-19 pandemic.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- A fuzzy logic model for taxi service assessment using passenger survey data from Ukraine and Poland.Scientific reports · 2026Article
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5 authors.
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Abstract
Introduction: This study aimed to explore the factors influencing people's utilization of ride-hailing services, particularly in the context of the COVID-19 pandemic. Methods: A two-stage survey was conducted among the same group of passengers pre and post COVID-19 pandemic, resulting in a total of 670 valid samples. Exploratory factor analysis (EFA) was applied to the data, followed by the ordered probit and ordered logit models to identify the motivational factors behind passengers' frequency of using ride-hailing. Results: The findings indicated that trust and loyalty were the most influential factors in determining passengers' frequency of using ride-hailing services. However, passengers' perception of the COVID-19 pandemic did not have a significant effect on the frequency of using ride-hailing. Discussion: This research provides empirical evidence and policy implications for understanding people's usage of the ride-hailing services in the context of public-health emergency.
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