Unraveling Crash Causation: A Deep Dive into Non-Motorists on Personal Conveyance

Author:

Das Subasish123,Chakraborty Rohit123,Sultana Mimi Mahmuda123

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, Ingram School of Engineering, Texas State Univ., San Marcos, TX. ORCID: .

2. M.S. Student, Dept. of Civil Engineering, Ingram School of Engineering, Texas State Univ., San Marcos, TX. ORCID: .,

3. Dept. of Civil Engineering, Ingram School of Engineering, Texas State Univ., San Marcos, TX

Publisher

American Society of Civil Engineers

Reference26 articles.

1. Modeling factors contributing to dockless e-scooter injury accidents in Austin, Texas;Azimian A.;Traffic Injury Prevention,2022

2. Brunner, P., von dem Bussche-Hünnefeld, T., Denk, F., Huber, W., Bogenberger, K., Kates, R. 2022. An E-Scooter Safety Experiment – Design, Methodology and Results. p. 18p.

3. Bayesian reconstruction of traffic accidents;Davis G. A.;Law, Probability and Risk,2003

4. Analysis of traffic accidents on rural highways using Latent Class Clustering and Bayesian Networks

5. Boarding Injuries: The Long and the Short of It;Fabian L. A.;Emergency Medicine International,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Association Patterns of Work Zone Crashes using Bayesian Network;Transportation Research Record: Journal of the Transportation Research Board;2024-08-24

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