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Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes

Transportation research. Part A, Policy and practice, 2020-02, Vol.132, p.378-401

2020

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Early adopters of Mobility-as-a-Service in the Netherlands

Transport policy, 2020-10, Vol.97, p.197-209

2020

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What are the determinants of the willingness to share rides in pooled on-demand services?

Transportation (Dordrecht), 2021-08, Vol.48 (4), p.1733-1765

2021

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E-bike user groups and substitution effects: evidence from longitudinal travel data in the Netherlands

Transportation (Dordrecht), 2022-06, Vol.49 (3), p.815-840

2022

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Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data

Sensors (Basel, Switzerland), 2023-12, Vol.23 (24), p.9664

2023

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Latent classes of daily mobility patterns: the relationship with attitudes towards modes

Transportation (Dordrecht), 2020-08, Vol.47 (4), p.1843-1866

2020

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Trip chain complexity: a comparison among latent classes of daily mobility patterns

Transportation (Dordrecht), 2021-04, Vol.48 (2), p.953-975

2021

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Investigating the Shape of the Macroscopic Fundamental Diagram Using Simulation Data

Transportation research record, 2010-01, Vol.2161 (1), p.40-48

2010

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The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection

Transportation research procedia (Online), 2015, Vol.11, p.311-329

2015

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Fostering an inclusive public transport system in the digital era: An interdisciplinary approach

Transportation research interdisciplinary perspectives, 2023-11, Vol.22, p.100968, Article 100968

2023

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Cycling or walking? Determinants of mode choice in the Netherlands

Transportation research. Part A, Policy and practice, 2019-05, Vol.123, p.7-23

2019

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Value of time and reliability for urban pooled on-demand services

Transportation research. Part C, Emerging technologies, 2020-06, Vol.115, p.102621, Article 102621

2020

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Access denied? Digital inequality in transport services

Transport reviews, 2022-01, Vol.42 (1), p.32-57

2022

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Impact of different shopping stages on shopping-related travel behaviour: analyses of the Netherlands Mobility Panel data

Transportation (Dordrecht), 2019-04, Vol.46 (2), p.341-371

2019

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Potential of on-demand services for urban travel

Transportation (Dordrecht), 2023-08, Vol.50 (4), p.1289-1321

2023

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Measuring generalised transport costs as an indicator of accessibility changes over time

Transport policy, 2013-09, Vol.29, p.154-159

2013

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Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles

Transportation research record, 2023-12, Vol.2677 (12), p.29-43

2023

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On Good Neighbors and Distant Friends in the Online Era

Transportation research record, 2016, Vol.2566 (1), p.55-63

2016

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“Who can I ask for help?”: Mechanisms behind digital inequality in public transport

Cities, 2023-06, Vol.137, p.104335, Article 104335

2023

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Didn’t travel or just being lazy? An empirical study of soft-refusal in mobility diaries

Transportation (Dordrecht), 2023-12

2023

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The experienced mode choice set and its determinants: Commuting trips in the Netherlands

Transportation research. Part A, Policy and practice, 2020-02, Vol.132, p.744-758

2020

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What is the market potential for on-demand services as a train station access mode?

Transportmetrica (Abingdon, Oxfordshire, UK), 2024-09, Vol.20 (3)

2024

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State-of-the-art of incentive strategies – Implications for longitudinal travel surveys

Transportation research procedia (Online), 2018, Vol.32, p.200-210

2018

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An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability

Travel, behaviour & society, 2023-10, Vol.33, p.100616, Article 100616

2023

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State-of-the-art of Longitudinal Travel Surveys – A Comparison of the MOP and MPN

Transportation research procedia (Online), 2024, Vol.76, p.196-207

2024

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Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes

Early adopters of Mobility-as-a-Service in the Netherlands

What are the determinants of the willingness to share rides in pooled on-demand services?

E-bike user groups and substitution effects: evidence from longitudinal travel data in the Netherlands

Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data

Latent classes of daily mobility patterns: the relationship with attitudes towards modes

Trip chain complexity: a comparison among latent classes of daily mobility patterns

Investigating the Shape of the Macroscopic Fundamental Diagram Using Simulation Data

The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection

Fostering an inclusive public transport system in the digital era: An interdisciplinary approach

Cycling or walking? Determinants of mode choice in the Netherlands

Value of time and reliability for urban pooled on-demand services

Access denied? Digital inequality in transport services

Impact of different shopping stages on shopping-related travel behaviour: analyses of the Netherlands Mobility Panel data

Potential of on-demand services for urban travel

Measuring generalised transport costs as an indicator of accessibility changes over time

Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles

On Good Neighbors and Distant Friends in the Online Era

“Who can I ask for help?”: Mechanisms behind digital inequality in public transport

Didn’t travel or just being lazy? An empirical study of soft-refusal in mobility diaries

The experienced mode choice set and its determinants: Commuting trips in the Netherlands

What is the market potential for on-demand services as a train station access mode?

State-of-the-art of incentive strategies – Implications for longitudinal travel surveys

An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability

State-of-the-art of Longitudinal Travel Surveys – A Comparison of the MOP and MPN

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