This study evaluates the comparability of aggregated mobile phone data (MPD) derived from passive network signalling events and traditional travel survey data for urban transport planning, using the province of Liège as a case study. Our analysis …

The objective of this research is to better understand the heterogeneity of passengers' travel behavior and their spatial locations, which can be used to optimize public transport network structure. Based on individual passenger’s space-behavior …

Urban residents’ activity-travel demands exhibit continuous enrichment and diversification, necessitating urgent evaluations of urban facility and resource supply adequacy and sustainability. Within urban planning and management, capacity is a key …

Transport and logistics organisations have been struggling to find practical and effective ways to achieve net-zero carbon. Multiple environmental policies that could help them do so have been proposed, but their impacts on the economic viability …

People with a migration background and/or who belong to ethnic minorities tend to have different travel behaviour, mainly in terms of lower car use. A better understanding of this nexus is needed, yet there is a lack of quantitative studies on …

The constraints on link density and link inflow/outflow must be included in modeling the dynamic user optimal simultaneous departure time and route choice problem (DUO-SDTRC) to be consistent with the reality. However, the research on the …

Leveraging travel time data is essential for various applications such as ride sharing, traffic management, and traffic accident detection. Despite significant advancements in travel time forecasting, selecting the most appropriate prediction …

Traveling in inclement winter weather is challenging due to reduced mobility and increased travel risks. It is essential to aid commuters in making adequate pre-travel decisions under such conditions by providing real-time information on road and …

Private vehicles park 95% of the time, prompting urban planners and policymakers to implement policies to manage parking supply and demand in city centres efficiently. Understanding the parking dynamics and its correlation with traffic flow is …

Micro-mobility contributes to the transformation of car-centric urban transport systems. Few studies have focused on micro-mobility ownership, a non-negligible indicator for understanding the popularity and development of micro-mobility. Using …

Analyzing intrapersonal variability in mobility patterns (i.e., how individuals’ daily travel behaviors, such as destination and route choice, change over time) requires multi-day datasets, which are not commonly available for transportation …

The freight system serves as the fundamental support for urban logistics, in which heavy trucks constitute the majority of the flow of goods. Hence, the flow of heavy trucks can be regarded as a proxy for analyzing dominant freight activities …

This work provides a synthesis of how transportation fairness, justice and equity academic literature has defined and operationalized standards. We first clarify the key concepts of fairness, equity, justice and standards, and introduce a flexible …

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 …