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Andrew Mondschein

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

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196

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0

Scholarly Papers (3)

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1.

What Affects Pedestrian Street Crossing Decisions in Day and Night Scenarios? A Case Study in Charlottesville, Virginia

Number of pages: 32 Posted: 28 Jan 2025
Afrida Raida, Arman Hosseini, Carreen de Cardenas, Andrew Mondschein, Arsalan Heydarian and T. Donna Chen
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Virginia - School of Engineering & Applied Science, affiliation not provided to SSRN, University of Virginia - School of Engineering & Applied Science and University of Virginia
Downloads 126 (580,653)

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Pedestrian safety, Perceived safety, Crossing Behavior, Head Movement, Gaze Variability

2.

A Sequential and Dynamic Analysis of Pedestrian Street Crossing Decisions in Day and Night Scenarios: A Case Study in Charlottesville, Virginia

Number of pages: 33 Posted: 30 Oct 2025
Afrida Raida, Lotte Notelaers, Arman Hosseini, Carreen de Cardenas, Andrew Mondschein, Arsalan Heydarian and T. Donna Chen
affiliation not provided to SSRN, KU Leuven, affiliation not provided to SSRN, University of Virginia - School of Engineering & Applied Science, affiliation not provided to SSRN, University of Virginia - School of Engineering & Applied Science and University of Virginia
Downloads 55 (1,020,567)

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Pedestrian safety, Pedestrian behavior, Perceived safety, Gaze variability, Sequential model

3.

Seeing What Matters: A New Metric for Understanding Pedestrian Visual Attention in Urban Crossings

Number of pages: 24 Posted: 23 Apr 2026
Shiyu Ma, Robert B Noland, Clinton J. Andrews, Andrew Mondschein and Wenwen Zhang
affiliation not provided to SSRN, Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey - Center for Urban Policy Research (CUPR), affiliation not provided to SSRN and Bloustein School of Planning and Public Policy
Downloads 15 (1,509,872)

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eye tracking, pedestrian safety, intersection, gaze metrics, image segmentation