Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China
المؤلفون المشاركون
Liu, Zhuo
Yao, Hui
Jia, Jianlin
Chen, Yanyan
Li, Yongxing
Chen, Ning
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-17
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
In the bus network, key bus station failure can interrupt transfer lines, which leads to the low effectiveness of the whole network, especially during peak hours.
Thus, identifying key stations in the bus network before the emergency occurs has a great significance to improve the response speed.
In this paper, we proposed a new method considering station hybrid influence and passenger flow to identify key stations in the whole bus network.
This method aims to measure the influence of bus stations while combining the topological structure of the bus network and dynamic bus stations passenger flow.
The influence of bus stations was calculated based on the local structure of the network, which refines from finding the shortest paths with high computational complexity.
To evaluate the performance of the method, we used the efficiency of the network and vehicle average speed at the station to examine the accuracy.
The results show that the new method can rank the influence of bus stations more accurately and more efficiently than other complex network methods such as degree, H-index, and betweenness.
On this basis, the key stations of the bus network of Beijing in China are identified out and the distribution characteristics of the key bus stations are analyzed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jia, Jianlin& Chen, Yanyan& Chen, Ning& Yao, Hui& Li, Yongxing& Liu, Zhuo. 2020. Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1123372
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jia, Jianlin…[et al.]. Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China. Advances in Civil Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1123372
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jia, Jianlin& Chen, Yanyan& Chen, Ning& Yao, Hui& Li, Yongxing& Liu, Zhuo. Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1123372
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1123372
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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