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Hybrid Random Regret Minimization and Random Utility Maximization in the Context of Schedule-Based Urban Rail Transit Assignment
المؤلفون المشاركون
Zhou, Weiteng
Li, Dewei
Gao, Yufang
Li, Ruoyi
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-28، 28ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-18
دولة النشر
مصر
عدد الصفحات
28
التخصصات الرئيسية
الملخص EN
Route choice is one of the most critical passenger behaviors in public transit research.
The utility maximization theory is generally used to model passengers’ route choice behavior in a public transit network in previous research.
However, researchers have found that passenger behavior is far more complicated than a single utility maximization assumption.
Some passengers tend to maximize their utility while others would minimize their regrets.
In this paper, a schedule-based transit assignment model based on the hybrid of utility maximization and regret minimization is proposed to study the passenger route choice behavior in an urban rail transit network.
Firstly, based on the smart card data, the space-time expanded network in an urban rail transit was constructed.
Then, it adapts the utility maximization (RUM) and the regret minimization theory (RRM) to analyze and model the passenger route choice behavior independently.
The utility values and the regret values are calculated with the utility and the regret functions.
A transit assignment model is established based on a hybrid of the random utility maximization and the random regret minimization (RURM) with two kinds of hybrid rules, namely, attribute level hybrid and decision level hybrid.
The models are solved by the method of successive algorithm.
Finally, the hybrid assignment models are applied to Beijing urban rail transit network for validation.
The result shows that RRM and RUM make no significant difference for OD pairs with only two alternative routes.
For those with more than two alternative routes, the performance of RRM and RUM is different.
RRM is slightly better than RUM in some of the OD pairs, while for the other OD pairs, the results are opposite.
Moreover, it shows that the crowd would only influence the regret value of OD pair with more commuters.
We conclude that compared with RUM and RRM, the hybrid model RURM is more general.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Dewei& Gao, Yufang& Li, Ruoyi& Zhou, Weiteng. 2018. Hybrid Random Regret Minimization and Random Utility Maximization in the Context of Schedule-Based Urban Rail Transit Assignment. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-28.
https://search.emarefa.net/detail/BIM-1181914
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Dewei…[et al.]. Hybrid Random Regret Minimization and Random Utility Maximization in the Context of Schedule-Based Urban Rail Transit Assignment. Journal of Advanced Transportation No. 2018 (2018), pp.1-28.
https://search.emarefa.net/detail/BIM-1181914
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Dewei& Gao, Yufang& Li, Ruoyi& Zhou, Weiteng. Hybrid Random Regret Minimization and Random Utility Maximization in the Context of Schedule-Based Urban Rail Transit Assignment. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-28.
https://search.emarefa.net/detail/BIM-1181914
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181914
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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