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Dorine C. Duives

Delft University of Technology

SCHOLARLY PAPERS

4

DOWNLOADS

240

TOTAL CITATIONS

3

Scholarly Papers (4)

1.

A Learning Based Pedestrian Flow Prediction Approach with Diffusion Behavior

Number of pages: 25 Posted: 28 Nov 2024 Last Revised: 08 Oct 2025
Weiming Mai, Dorine C. Duives and Serge Hoogendoorn
Delft University of Technology, Delft University of Technology and Delft University of Technology
Downloads 102 (684,672)
Citation 1

Abstract:

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Real-time pedestrian flow prediction, pedestrian simulation, crowd diffusion, online learning, interpretable learning-based method

2.

Using Pedestrian Modelling to Inform Virus Transmission Mitigation Policies: A Novel Activity Scheduling Model to Enable Virus Transmission Risk Assessment in a Restaurant Environment

Number of pages: 28 Posted: 25 Apr 2022
Martijn Sparnaaij, Yufei Yuan, Winnie Daamen and Dorine C. Duives
Delft University of Technology - Department of Transport & Planning, Delft University of Technology, Delft University of Technology and Delft University of Technology
Downloads 69 (883,195)
Citation 1

Abstract:

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Activity scheduling, Pedestrians, Restaurant operations, COVID-19

3.

Embedding Ethics into AI-Powered Crowd Management Systems: A Design Science Approach

Number of pages: 29 Posted: 22 Jan 2026
Dorine C. Duives and Clara Maathuis
Delft University of Technology and affiliation not provided to SSRN
Downloads 46 (1,121,190)

Abstract:

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Artificial intelligence, Crowd Management Systems (CMS), responsibility, Ethics, Framework

4.

How Do Activity-End Trip Characteristics Affect the Choice for Shared Micromobility? A Latent Class Choice Modelling Approach for Train Station Egress Trips in the Netherlands

Number of pages: 31 Posted: 17 Apr 2025
Delft University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, Delft University of Technology and Delft University of Technology
Downloads 23 (1,411,822)
Citation 1

Abstract:

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Access/egress travel, Walking, Cycling, Shared micromobility, Stated choice experiment, Latent class choice model