Planning and Budgeting, Journal Year: 2024, Volume and Issue: 29(2), P. 75 - 96
Published: Aug. 1, 2024
Language: Английский
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
Citations
1
Proceedings of the Institution of Civil Engineers - Transport, Journal Year: 2024, Volume and Issue: 177(6), P. 372 - 385
Published: Feb. 2, 2024
The Covid-19 pandemic had a significant impact on people's travel behaviour and their perception of various transportation modes. This paper presents the results two cross-sectional surveys conducted in Tehran, Iran, during after pandemic. Multivariate ordered logit modelling is used to identify factors that influence usage explore interrelationships by analysing correlations among utility frequency use private car, public transportation, ride-hailing collective line taxi. Socioeconomic characteristics contribute significantly. Low-income individuals were more likely transport pandemic, whereas university students sector employees prone ride-hailing. Women tended more, especially post-pandemic period. findings suggest while, whole, has increased for all modes period, terms commuting modal share, metro gained substantially car lost. Ride-hailing proved highly resilient Tehran's mobility landscape. Correlation analysis indicated clear contrast between cars transport/collective taxis, which further heightened Although complements both it does not exhibit meaningful with car.
Language: Английский
Citations
4
Transport Policy, Journal Year: 2023, Volume and Issue: 141, P. 317 - 330
Published: July 27, 2023
Language: Английский
Citations
10
Discover Social Science and Health, Journal Year: 2025, Volume and Issue: 5(1)
Published: May 7, 2025
Language: Английский
Citations
0
Transportation Planning and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21
Published: Sept. 11, 2024
Language: Английский
Citations
3
Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 184, P. 104075 - 104075
Published: April 25, 2024
Language: Английский
Citations
2
Transportation Planning and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18
Published: Oct. 20, 2024
The COVID-19 pandemic brought significant disruptions to transportation patterns worldwide, with a notable increase in Private Vehicle (PV) usage. Many studies have focused on travel restrictions, while neglecting consider potential changes transportation-related policies implemented during that may improved public health. present study explores the motivations for modal shifts PVs and tries analyze which of risks exposure modifications has caused these modifications. Focusing case Tehran, Iran, where cordon pricing was relaxed pandemic, collected data through online paper-based surveys from 1475 respondents. Binary logit models were employed understand impact destination location, residency area, trip purpose, frequency, vehicle characteristics shift behavior. In addition as primary reason shift, respondents also identified relaxation restrictions factor increased utility PVs. study's findings contribute better understanding dynamics behavior pandemics, guiding policymakers devising effective strategies address both health concerns traffic conditions.
Language: Английский
Citations
2
Transactions on Transport Sciences, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 8, 2024
Prior research on COVID-19 focused primarily travel behavior changes before, during, and after the pandemic, with aim of analyzing significant variables. However, this aims to study compare effects traffic transportation measures, specific events, vaccination rates infection rate in Tehran, Iran. A correlation analysis is employed investigate degree relationship between number infected individuals each day implementation time rate. Over a 14-day period, majority (67%) measures events had impact either decreasing or increasing infections at level 1%. Results indicate that congestion pricing suspension has most effect virus spread (correlation coefficient -0.75 0.94). As another traffic-related measure, intercity bans also contributed decrease infections. Additionally, certain holidays/events their related movements gatherings are linked an increase cases 0.71 0.96). The ongoing could be attributed rate, showing negative -0.771.
Language: Английский
Citations
0
Planning and Budgeting, Journal Year: 2024, Volume and Issue: 29(2), P. 75 - 96
Published: Aug. 1, 2024
Language: Английский
Citations
0