The COVID-19 pandemic has significantly impacted the transit market leading to ridership loss and service cuts. Most of the post-pandemic transit market literature has focused on how to attract those who stopped using transit services, however …

The cellular network is now nearly an almost ubiquitous and real-time sensor with coverage anywhere and anytime for any device. Mobile network data is a rich source for official statistics, such as human mobility. However, unlike GPS tracks, each …

This study aims to investigate people’s perceptions and opinions on Autonomous Vehicles (AVs) and the key factors that influence their Behavioral Intention (BI) to purchase and use AVs. Data were sourced from the 2019 California Vehicle Survey to …

Recent advances in the development of modular transport vehicles allow deploying multi-purpose vehicles, which enable alternate transport of different demand types. In this study, we propose a novel variant of the pickup and delivery problem, the …

One of the fundamental prerequisites for interpreting collected passive travel data to develop intelligent transportation systems is the detection of transportation modes. The literature has divided transportation mode detection into two parts: …

The sustained expansion of mega-city regions and the development of multimodal transport networks have catalysed intercity mobility, thereby restructuring regional travel demand patterns. This study aims to interpret the behaviour of intermodal …

The high cost of conventional surveys has motivated researchers to develop methods for adjusting a prior Origin–destination (OD) matrix from easily available traffic counts. The gradient method is a mathematical programming approach widely used …

Given the rapid advancement of autonomous driving technology, discerning public willingness to pay and anticipated driving behavior for autonomous vehicles is crucial for their successful promotion, hastened adoption, and enhanced safety in …

The mobility tool landscape continues to evolve because of shared mobility services, the prospect of automated vehicles (AVs), teleworking, and unpredicted challenges like the COVID-19 pandemic. It is critical that public and private sector actors …

In the past few decades, there has been a significant increase in smartphone apps that are designed to help users optimise their daily activities. As a result, there has been a noticeable impact on travel demand. Some of these apps have evolved …

This study investigates the influence of transport infrastructure, income inequality, information and communication technology on transport-oriented household expenditures. For this purpose, we chose the data set period from 1997 to 2021 for the …

Micro-mobility transport modes like e-bikes and e-scooters promise higher flexibility when covering the first/last mile trip from/to the public transport stop/station to the destination point and vice-versa. However, safety concerns about riding a …

The demand for public transport by tourists increases significantly in tourist-attractive destinations. This is in addition to regular passengers commuting to school and work. The level of irregular demand is influenced by several factors related …

In making daily commuting trips, a part of travelers, which are called captive travelers, rely on one transport mode due to a lack of access or affordability to other transport modes. To account for the effect of such captive travelers on network …

The COVID-19 pandemic was an unprecedented global crisis that has impacted virtually everyone. We conducted a nationwide online longitudinal survey in the United States to collect information about the shifts in travel-related behavior and …

Smooth cycling can improve the competitiveness of bicycles. Understanding cycling speed variation during a trip reveals the infrastructure or situations which promote or prevent smooth cycling. However, research on this topic is still limited.

This paper investigates factors affecting people’s preferences for shared micromobility when autonomous technology is available. Using combined stated and revealed preference data from an online choice experiment, focusing on vehicle availability …

Under the increasingly prosperous nighttime economy, it is necessary to develop an operation extension strategy to optimize last train connections to improve urban rail transit service levels. A novel MILP model is proposed that aims to optimize …

Urban road traffic congestion remains challenging due to global urbanisation and has caused travel delays, energy consumption, and detrimental emissions. Therefore, exploring the potential dominant factors associated with traffic congestion …

The Delta variant of SARS-CoV-2, specifically identified as B.1.617.2, is responsible for the severe outbreaks witnessed globally, including in various countries and cities, with Sydney Greater Metropolitan Area (Sydney GMA) being no exception.