The Potential of Demand-Responsive Transport as a Complement to Public Transport: An Assessment Framework and an Empirical Evaluation

Demand-responsive transport (DRT) services (collective on-demand services, such as shared ridesourcing and microtransit) offer a collective flexible travel alternative that can potentially complement fixed transit (FT). The combination of an on-demand and line-based service holds the promise of improved mobility and increased service coverage...

Spatial Analytics for the Identification of Salient Urban Areas

Urban Demand Responsive Transport in the Mobility as a Service Ecosystem: Its Role and Potential Market Share

Mobility as a Service (MaaS) is entering the transportation market. MaaS aims at the full integration of the existing transportation services and it offers tailored mobility packages to the user. In MaaS ecosystems, on-demand services play an important role as complement to public transport due to their flexibility. However, to date, most...

Evaluating a data-driven approach for choice set identification

The specification of the choice set for travel behaviour analysis is a non-trivial task, as its size and composition are known to influence the results of model estimation and prediction. Most studies specify the choice set using choice set generation algorithms. These methods can introduce two severe errors to the specified choice set: false...

How do people cycle in Amsterdam? Estimating cyclists’ route choice determinants using GPS data from an urban area

Nowadays, the bicycle is seen as a sustainable and healthy substitute for the car in urban environments. The Netherlands is the leading country in terms of bicycle use, especially in urban environments. Yet route choice models featuring inner-city travel that include cyclists are lacking. This paper estimates a cyclists’ route choice model for...

Performance Assessment of Fixed and Flexible Public Transport in a Multi Agent Simulation Framework

The emergence of innovative mobility solutions that offer flexible transport services, is changing the way urban public transport systems will be designed. Such mobility solutions offer on demand transport services and hence can solve the problems inherent with traditional line based and schedule based public transport systems. It is essential...

A robust transfer inference algorithm for public transport journeys during disruptions

Disruptions in public transport have major impact on passengers and disproportional effects on passenger satisfaction. The availability of smart card data gives opportunities to better quantify disruption impacts on passengers’ experienced journey travel time and comfort. For this, accurate journey inference from raw transaction data is required...

How do people cycle in Amsterdam, Netherlands?: Estimating cyclists' route choice determinants with GPS data from an urban area

Nowadays, the bicycle is seen as a sustainable and healthy substitute for<br/>the car in urban environments. The Netherlands is the leading country<br/>in bicycle use, especially in urban environments. Yet route choice models<br/>featuring inner-city travel that includes cyclists are lacking. This study<br/>estimated a cyclists’ route choice...