التفاصيل البيبلوغرافية
| العنوان: |
How much should a pedestrian be fined for intentionally blocking a fully automated vehicle? A random parameters Beta hurdle model with heterogeneity in the variance of the Beta distribution |
| المؤلفون: |
Afghari, Amir Pooyan, Papadimitriou, Eleonora, Li, Xiaomeng, Kaye, Sherrie-Anne, Oviedo-Trespalacios, Oscar |
| المصدر: |
Analytic Methods in Accident Research |
| بيانات النشر: |
Elsevier BV |
| سنة النشر: |
2021 |
| المجموعة: |
Queensland University of Technology: QUT ePrints |
| مصطلحات موضوعية: |
Hurdle regression, truncated regression, beta distribution, fully automated vehicles, pedestrian receptivity |
| الوصف: |
Intentionally blocking the path of fully automated vehicles is an important dimension of pedestrians’ receptivity towards these vehicles. The monetary value of this behaviour can be obtained by asking pedestrians about their perception of the “fine” for blocking the path of a fully automated vehicle. Econometric modelling of the reported fine can shed more light on factors influencing pedestrians’ receptivity towards fully automated vehicles. However, development of such an econometric model is not straightforward due to the unique characteristics of the dependent variable: it has two fundamentally different states; it is right-truncated; and it may be fat-tailed. Despite fairly extensive methodological advancements in econometric modelling of pedestrian behaviour, there is no model that can adequately explain these characteristics. While a beta distribution in a hurdle setting has the potential to address the above complexities, its applicability in dealing with limited dependent variables in transport applications has remained, by and large, unexplored. This study aims to fill this gap by developing a new beta hurdle regression model that systematically considers the dual-state of a right-truncated dependent variable representing the fine associated with intentionally blocking a fully automated vehicle. The hypothesized model is empirically tested using data obtained from a survey administered in Queensland, Australia, and the results are compared with truncated lognormal, and truncated lognormal hurdle regression models. Results indicate that the hurdle models are superior to the non-hurdle model. The beta variant of the hurdle model provides a better statistical fit for the data that are near their right limit. In addition, parametrizing the variance of the beta distribution captures the additional heterogeneity in the data. Age, gender, education level, violations, attitudes, behaviours that appease social interactions, and perceived ease or difficulty of interacting with fully automated vehicles influence ... |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
unknown |
| Relation: |
https://eprints.qut.edu.au/212586/8/96237362.pdf; Afghari, Amir Pooyan, Papadimitriou, Eleonora, Li, Xiaomeng, Kaye, Sherrie-Anne, & Oviedo-Trespalacios, Oscar (2021) How much should a pedestrian be fined for intentionally blocking a fully automated vehicle? A random parameters Beta hurdle model with heterogeneity in the variance of the Beta distribution. Analytic Methods in Accident Research, 32, Article number: 100186.; http://purl.org/au-research/grants/arc/DE200101079; https://eprints.qut.edu.au/212586/; Centre for Future Mobility/CARRSQ; Faculty of Health; School of Psychology & Counselling |
| الاتاحة: |
https://eprints.qut.edu.au/212586/ |
| Rights: |
free_to_read ; http://creativecommons.org/licenses/by/4.0/ ; 2021 The Author(s) ; This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
| رقم الانضمام: |
edsbas.E8426F27 |
| قاعدة البيانات: |
BASE |