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Dive into the research topics where R. van Nes is active.

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Featured researches published by R. van Nes.


Public Transport | 2012

The impact of scheduling on service reliability: trip-time determination and holding points in long-headway services

N. van Oort; J. W. Boterman; R. van Nes

This paper presents research on optimizing service reliability of long-headway services in urban public transport. Setting the driving time, and thus the departure time at stops, is an important decision when optimizing reliability in urban public transport. The choice of the percentile out of historical data determines the probability of being late or early, while the scheduled departure time determines the arrival pattern for travelers. A hypothetical line and a case study are used to determine the optimal percentile value for long-headway services without and with holding points. If no holding points are applied, it is shown that the 35-percentile value minimizes the additional travel time to 25 % of the reference situation. In the case of holding, two holding points combined with a 30–60-percentile value yield the best performance: a further reduction of the additional travel time with 60 %.


international conference on infrastructure systems and services building networks for a brighter future | 2008

The role of infrastructures on public transport service reliability

Shahram Tahmasseby; N. van Oort; R. van Nes

This research deals with a public transport network design methodology that accounts for reliability and robustness of urban public transport service networks by considering impacts of stochastic events on networks. The study shows the role of infrastructures such as bypasses to improve public transport network robustness. This methodology is applied in a case study: the tram network in city of The Hague. Results show a sensible improvement in network connectivity reliability as well as travel costs.


Journal of Intelligent Transportation Systems | 2017

The impact of route guidance, departure time advice and alternative routes on door-to-door travel time reliability: Two data-driven assessment methods

C.R. de Boer; M. Snelder; R. van Nes; B. Van Arem

ABSTRACT Conventional travel time reliability assessment has evolved from road segments to the route level. However, a connection between origin and destination usually consists of multiple routes, thereby providing the option to choose. Having alternatives can compensate for the deterioration of a single route; therefore, this study assesses the reliability and quality of the aggregate of the route set of an origin-destination (OD) pair. This paper proposes two aggregation methods for analyzing the reliability of travel times on the OD level: 1) an adapted Logsum method and 2) a route choice model. The first method analyzes reliability from a network perspective and the second method is based on the reliability as perceived by a traveler choosing his route from the available alternatives. A case study using detailed data on actual travel times illustrates both methods and shows the impact of having variable departure times and the impact of information strategies on travel time reliability.


Archive | 2002

DESIGN OF MULTIMODAL TRANSPORT NETWORKS: A HIERARCHICAL APPROACH

R. van Nes


European Journal of Transport and Infrastructure Research | 2004

Choice Set Generation for Multi-modal Travel Analysis

Stella Fiorenzo-Catalano; R. van Nes; P.H.L. Bovy


European Journal of Transport and Infrastructure Research | 2001

The impact of alternative access modes on urban public transport network design

R. van Nes


European Journal of Transport and Infrastructure Research | 2017

Modelling travel time reliability in public transport route choice behaviour

A.B. Swierstra; R. van Nes; Eric Molin


Archive | 2015

Methodische Verkenning Zelfrijdende Auto's en Bereikbaarheid

M. Snelder; B. Van Arem; Raymond Hoogendoorn; R. van Nes


ETC 2014: European Transport Conference, Frankfurt, Germany, 29 September-1 October 2014; Authors version | 2014

Data errors and their impacts, the case of DATELINE

C.D. van Goeverden; B. Van Arem; R. van Nes


Transportation | 2018

Identification and quantification of link vulnerability in multi-level public transport networks : a passenger perspective

M. Yap; N. van Oort; R. van Nes; B. Van Arem

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B. Van Arem

Delft University of Technology

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C.D. van Goeverden

Delft University of Technology

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N. van Oort

Delft University of Technology

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M. Snelder

Delft University of Technology

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M. Yap

Delft University of Technology

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P.H.L. Bovy

Delft University of Technology

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Adam J. Pel

Delft University of Technology

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C.R. de Boer

Delft University of Technology

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Eric Molin

Delft University of Technology

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Erik-Sander Smits

Delft University of Technology

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