Since 2015, free-floating bicycle schemes have been flourishing worldwide due to their easy booking and mobile payment systems. Despite numerous publications, there remains a significant gap in understanding how app users select their bikes and …

Even before they can legally drive, the majority of Australian adolescents are car-dependent. Public transport can play an important role in reducing car dependence and increasing independent travel among adolescents. To date, much of the research …

Currently, Japan is entering a phase of infrastructure improvement that requires repair of highways and bridges. However, large-scale renewal work that requires long-term road closure is rare. Therefore, this study analyzes the construction …

The integration of theory-driven discrete choice modeling (DCM) with neural networks has demonstrated promising advances in choice behavior analysis, yet existing hybrid approaches face persistent challenges in parameter stability, overfitting …

When a new rail station is built on an existing line, it causes an increase in in-vehicle time – typically, between 2 and 4 min – for all existing trips that now stop at the new station. To the best of our knowledge, this paper is the first to …

Understanding the relationship between socio-economic factors and travel behavior is crucial for developing sustainable and inclusive transportation policies. This study analyzes mode choice, daily trip frequency, and daily travel time in …

This study examines shifts in shopping activity patterns among grocery and non-grocery purchasers in Nagpur, India, by comparing pre- and post-COVID-19 scenarios. Using descriptive statistics and Structural Equation Modeling (SEM) on 1,546 …

Visualizing mobility patterns is crucial to understanding spatial interaction patterns, yet it has become increasingly challenging due to the availability of large amounts of mobility data. The traditional thresholding method that displays only …

There is a growing emphasis in urban centres on promoting sustainable mobility modes, particularly public transit systems. This highlights the critical need for predictive modelling frameworks that capture the local spatiotemporal dynamics of …

This study evaluates six widely used policies for promoting battery electric vehicle (BEV) adoption through a benefit-cost analysis, using Australia as a case study. Drawing on a three-phase methodology, comprising a Delphi panel, a vehicle …

A number of research studies have found that ride-hailing services like Uber and Lyft have increased the total amount of driving within metropolitan areas. In this study, we examined how the rollout of Uber across the Boston region affected auto …

Data requirements for modern transport research have changed in conjunction with the advances of transport models and evolving research topics to better understand mobility choices under budgetary and time constraints. These applications need …

Hydrogen fuel cell vehicles (HFCVs) are vital for advancing the hydrogen economy and decarbonizing the transportation sector. However, research on HFCV market dynamics in passenger vehicles is limited, especially incorporating both market …

We evaluate the targeting properties of the Vale Transporte scheme in Brazil, one of the oldest and most iconic transit subsidies in the Latin American region. We use household survey data for 26 metropolitan areas to calculate the Concentration …

Inequalities seem to have grown in recent urban mobility concerns, both from social-spatial (stemming from the center-periphery pattern) and social health (deriving from a wide range of vulnerability situations) perspectives, leading to a …

Understanding how passengers distribute their route choices in transit networks is critical for promoting route diversity and optimizing system performance. While traditional route choice models focus on utility maximization, they often overlook …

This study evaluated the direct and indirect association of Climate Change Awareness (CCA) with urban mobility options (i.e., walking, biking, and driving a carbon-dependent car) through Green Purchase Intention (GPI) and Eco-Socially Conscious …

Activity-based models in transport are crucial for providing a comprehensive and realistic understanding of individuals’ activity-travel patterns, improving demand forecasting, policy analysis, and land use and transportation planning. While …

Shared Mobility Services (SMS), e.g., demand-responsive transport or ride-sharing, can improve mobility in low-density areas, which are often poorly served by conventional Public Transport (PT). Such improvement is generally measured via basic …

As an important part of the urban transportation system, public transport undertakes the daily travel needs of a large number of urban residents. However, in recent years, the urban road transport network has been widespread interrupted by the …