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Marjan Hagenzieker

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

433

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Exploring Perceptions of Fatbike Riders and Their Behaviours: Implications for Public Acceptability

Number of pages: 28 Posted: 15 Apr 2025 Last Revised: 11 May 2025
Soyeon Kim, Dennis Andreoli and Marjan Hagenzieker
Delft University of Technology, Eindhoven University of Technology and affiliation not provided to SSRN
Downloads 193 (403,391)

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Fatbikes, Cycling, Public acceptability, Policy

2.

Exploring the Learning Strategies of Drivers Using Advanced Driver Assistance Systems (ADAS)

Number of pages: 19 Posted: 02 Oct 2024
Soyeon Kim, Simeon C. Calvert and Marjan Hagenzieker
Delft University of Technology, Delft University of Technology - Department of Transport and Planning, Faculty of Civil Engineering and Geosciences and affiliation not provided to SSRN
Downloads 110 (640,165)

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Automated vehicles, Learning strategies, Education, ADAS, Qualitative research

3.

How Do Passengers of Automated Vehicles Experience Comfort on Road? An Interview Study

Number of pages: 62 Posted: 25 Feb 2025
Chen Peng, İBRAHIM ÖZTÜRK, Ruth Madigan, Sina Nordhoff, Sascha Hoogendoorn-Lanser, Marjan Hagenzieker and Natasha Merat
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Leeds, Delft University of Technology, Delft University of Technology, affiliation not provided to SSRN and University of Leeds
Downloads 88 (759,537)

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automated vehicle, comfort, users, interview, age

4.

Exploring ADAS Driver Training in Driving Academies: Perspectives from Driving Instructors

Number of pages: 17 Posted: 17 Jun 2025 Last Revised: 23 Nov 2025
Soyeon Kim, Simeon C. Calvert and Marjan Hagenzieker
Delft University of Technology, Delft University of Technology - Department of Transport and Planning, Faculty of Civil Engineering and Geosciences and affiliation not provided to SSRN
Downloads 42 (1,157,785)

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Training, ADAS, Driving instructors, Automated vehicles