Validation of a multi-modal transit route choice model using smartcard data

Validation of travel demand models, although recognised as important, is seldom undertaken. This study adds to the scarce literature in this field by undertaking an external validation of a multi-modal transit route choice model. The model was estimated using smart card data for the urban transit network of Amsterdam before the introduction...

Shared micromobility and public transport integration - A mode choice study using stated preference data

This paper uses stated preference data collected in the city of Rotterdam and discrete choice modelling techniques to study the relationship between public transport and shared micromobility. It assumes a hypothetical condition of integrated systems and studies the relationships of complement and competition between these modes. The findings...

What first? Public transport or houses?: A study on the development timing of public transport in a residential area

Modern cities are seeking possibilities to create healthy, sustainable and liveable urban environments. Yet these endeavours should not come at the expense of the accessibility of the city. Therefore, many cities try to promote the use of sustainable modes of transportation by developing transit-oriented neighbourhoods. An ongoing debate related...

Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands

With a few exceptions, public transport ridership around the world has been hit hard by the COVID-19 pandemic. Travellers are now likely to adapt their behaviour with a focus on factors that contribute to the risk of COVID-19 transmission. Given the unprecedented spatial and temporal scale of this crisis, these changes in behaviour may even...

Departure time change to avoid crowd in trains: A stated choice experiment study in the Netherlands in a pandemic context

Crowding in trains during rush hour is known to cause discomfort. After the outbreak of COVID-19 pandemic, crowding has also been highlighted as a risk factor for catching Acute Respiratory Infections (ARIs) such as COVID-19 which has affected the demand of public transport. Several countries, including the Netherlands, have differential fare...

The willingness to pay of various types of bike parking-users at train stations for different types of facilities and stations

Bike-train usage contributes to more sustainable and also more reliable transport. Nowadays, approximately 45% of the train passengers in the Netherlands access the station by bike. Therewith, the focus of policy makers shifts to the total “door-to-door” travel experience. Bicycle usage is stimulated, and the facilities are adapted accordingly....

Impacts of COVID-19 Risk Perceptions on Train Travel Decisions: A Hierarchical Information Integration Analysis

The number of passengers using public transport has decreased drastically as a consequence of the global coronavirus pandemic in 2020. This study aimed to retrieve the importance of the perceived risk of getting infected with the coronavirus in choosing to go by train in the Netherlands. With a Hierarchical Information Integration approach it...

Integrated route choice and assignment model for fixed and flexible public transport systems

The recent technological innovations in various ICT platforms have given rise to innovative mobility solutions. Such systems could potentially address some of the inherent shortcomings of a line/schedule based public transport system. Previous studies either assumed that flexible on-demand services are used as an exclusive door-to-door...

Crowding valuation in urban tram and bus transportation based on smart card data

Crowding in public transport can be of major influence on passengers’ travel experience and therefore affect route and mode choice. In this study, crowding valuation for urban tram and bus travelling is determined fully based on revealed preference data. Urban tram and bus crowding valuation is estimated in a European context based on a Dutch...

Using metro smart card data to model location choice of after-work activities: An application to Shanghai

A location choice model explains how travellers choose their trip destinations especially for those activities which are flexible in space and time. The model is usually estimated using travel survey data; however, little is known about how to use smart card data (SCD) for this purpose in a public transport network. Our study extracted trip...

Modelling travel time reliability in public transport route choice behaviour

The implementation of travel time reliability (TTR) in route choice behaviour is still not very common in transport models, especially not in a public transport context. The reasons probably are that it is difficult to measure and that there is no agreement how it best can be represented in utility functions. Typically, it is represented by a...

Variability in baseline travel behaviour as a predictor of changes in commuting by active travel, car and public transport: A natural experimental study

Purpose: To strengthen our understanding of the impact of baseline variability in mode choice on the likelihood of travel behaviour change. Methods: Quasi-experimental analyses in a cohort study of 450 commuters exposed to a new guided busway with a path for walking and cycling in Cambridge, UK. Exposure to the intervention was defined using...