The impact of pandemic experiences on future similar situations: analysis of latent variables and trip purposes in ride-hailing choice

Transportation Planning and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Feb. 3, 2025

Due to the experience and knowledge of individuals since COVID-19, this study aims how people would choose ride-hailing for different trip purposes under similar conditions in future. Data was collected through a stated preference questionnaire choice is then analyzed separately daily, mandatory, discretionary trips using three binary logit models. The importance variables related health concerns like Perceived Threats evident all Results indicate that who prioritize their families are less likely use these services both on mandatory trips. Additionally, systems preferred by students as well women shopping trips, while with high incomes do not them work findings suggest companies offering should focus more measures increase usage times crisis.

Language: Английский

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Urban and Regional Air Mobility (URAM) and Relocation Decisions in the United States: Insights from a Machine Learning-Supported Path Analysis

Transport Policy, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

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What changes the autonomous vehicle acceptance after COVID-19? Evidence from China

Research in Transportation Economics, Journal Year: 2024, Volume and Issue: 109, P. 101498 - 101498

Published: Dec. 4, 2024

Language: Английский

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Investigating the Role of Hybrid Work Model in Achieving Sustainable Transportation System: A Tour-Based Analysis

Published: Jan. 1, 2024

Language: Английский

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How Regulatory Orders and Public Fear Affect Vehicle Mobility Under Covid-19: A Global Perspective from Urban Overall Vehicles Using Multisource Data

Published: Jan. 1, 2024

Language: Английский

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