Transit Performance Assessment and Route Choice Modelling Using Smart Card Data

For more than a decade now, automated transit data collection systems (like the smart card and Automatic Vehicle Location) have been implemented, providing access to a massive amount of passively collected data. Being relatively new, they have not yet been explored to their full potential. This thesis focuses on leveraging such data to make...

Unravelling Urban Wayfinding: Studies on the development of spatial knowledge, activity patterns, and route dynamics of cyclists

Every day residents and visitors find their way through the complex urban<br/>network to go to work or get education, or go sightseeing. This thesis<br/>contains studies on the development of spatial knowledge, activity patterns,<br/>and route dynamics of cyclists. The contributions and findings narrowed<br/>the gap between research on travel...

Design and Analysis of On-Demand Mobility Systems

The past decade has seen vast advancements in various ICT (Information Communication, and Technology) platforms. These advancements have enabled the rise of innovative mobility solutions e.g. on-demand transport services. Such solutions offer flexible transport services to users in which users can receive tailor-made mobility solutions....

Demand for Urban Pooled On-Demand Services: Attitudes, Preferences and Usage

A new range of tailored, on-demand mobility alternatives are emerging worldwide; amongst these are pooled on-demand services, i.e., shared ride-hailing services such as UberPOOL or ViaVan. Simulation studies have shown the potential benefits of these services in urban areas, yet their ridership is still very limited. This thesis examines the...

Providing Public Transport by Self-Driving Vehicles: User Preferences, Fleet Operation, and Parking Management

Self-driving vehicles could make the operation of public transport services in a more flexible manner more affordable. Introducing shared automated vehicles would al¬low operating a fleet of smaller vehicles in a demand responsive manner. This could potentially impact the way we use and operate public transport services, which could eventually...

Multiscale Pattern Recognition of Transport Network Dynamics and its Applications: A bird’s eye view on transport

Cities are complex, dynamic and ever-evolving. We need to understand how these cities work in order to predict, control or optimize their operations. We have identified some open issues related to network and data complexity that need to be solved to build feasible methods for these purposes. To this end, we first build multiscale graphs...

Measuring, Predicting and Controlling Disruption Impacts for Urban Public Transport

Public transport systems can be subject to disruptions, which have negative impacts on passengers. Disruptions can result in additional in-vehicle time, waiting time, transfer time and extra transfers for passengers. In addition, perceived journey times might increase due to higher crowding levels on public transport services. Public transport...

Data-driven Analysis and Modeling of Passenger Flows and Service Networks for Public Transport Systems

Public transport (PT) plays an increasingly important role in solving mobility challenges, especially in densely populated metropolitan areas. Further improving PT systems requires more advanced planning and operations. Fortunately, the considerable amount of data that have become increasingly available for PT systems offer an opportunity to...

Unravelling Mode and Route Choice Behaviour of Active Mode Users

Due to increasing urbanisation rates worldwide combined with growing transportation demand, liveability of the urban environment is under pressure (UN, 2018). In response, many governments worldwide have set goals for increasing the share of trips made using sustainable modes of transport, such as walking and cycling. The use of active modes (i...