Framing resilience in public transportation systems, inspired by biomimicry

Resilience is a concept that describes the capability to be restored after unprecedented events, originally emerged from biology and human sciences. This paper aims to explore what a resilient public transportation system is and how nature’s wisdom can be used as an inspiration for the creation of resilience in the area of mobility, by linking...

Does ride-sourcing absorb the demand for car and public transport in Amsterdam?

The emergence of innovative mobility services, is changing the way people travel in urban areas. Such systems offer on-demand service (door-To-door or stop-To-stop, individual or shared) to passengers. In addition to providing flexible services to passengers, past studies suggested that such services could effectively absorb the demand for...

Passenger Route Choice and Assignment Model for Combined Fixed and Flexible Public Transport Systems

The recent technological innovations have given rise to innovative mobility solutions. Public transport systems combining such services need novel models for the design of services. We develop a multimodal route choice and assignment model for combined use of line/schedule based public transport systems (fixed public transport) and demand...

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...

Data driven enhancement of public transport planning and operations: Service reliability improvements and ridership predictions

Automatic Vehicle Location (AVL) and smartcard data are of great value in planning, design and operations of public transport. We developed a transport demand model, which utilizes smartcard data for overall and what-if analyses, by converting these data into passengers per line and OD-matrixes and allowing network changes on top of a base...

Beyond a complete failure: The impact of partial capacity reductions on public transport network vulnerability

Disruptions often result with partial capacity reduction without resulting with a complete breakdown. This study aims to move beyond the analysis of complete failure by investigating the impacts of partial capacity reduction on public transport network performance. We analyse the relation between the extent of capacity reduction at the line...

Exposing the role of exposure: Identifying and evaluating critical links in public transport networks

Network vulnerability depends on the probability that adverse events occur and on the impacts of such disruptions on network functionality. Most studies on transport network vulnerability have only analysed vulnerability in terms of the reduction in performance indicators given that a disruption occurs. This study presents and applies a method...

What big data do not tell us: What we can learn from travel survey for bus and lightrail in the Netherlands

With the introduction of the chipcardfor public transport (OV-chipkaart) as a digital ticketing system in the Dutch public transport (PT), a new data source for PT was created. The data registered by this smartcard contain every transaction (check-ins and check-outs) with according time and location. In 2013, the OV-chipkaart system operator...

Optimizing public transport planning and operations using automatic vehicle location data: The Dutch example

There is a growing pressure on urban public transport companies and authorities to improve efficiency, stemming from reduced budgets, political expectations and competition between operators. In order to find inefficiencies, bottlenecks and potentials in the public transport service, it is useful to learn from recorded operational data. We first...

Integrating public transort networks in the axial model

This study presents a first step in the development of a model that integrates public transport networks with the space syntax axial model, towards a network model that can describe the multi?modal movement structure of a city and study its patterns and flows. It describes the method for building an integrated multimodal network model of the...