Analysis of Crossing Behavior and Violations of Electric Bikers at Signalized Intersections
المؤلفون المشاركون
Tang, Tianpei
Ma, Jie
Zhou, Xizhao
Wang, Hua
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-20
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
This paper focuses on investigating electric bikers’ (e-bikers) crossing behavior and violations based on survey data of 3,126 e-bikers collected at signalized intersections in Nantong, China.
We first explore e-bikers’ characteristics of late crossing, incomplete crossing, and violating crossing behaviors by frequency analysis and duration distribution, and examine a few influential factors for e-bikers’ red-light running (RLR) behavior, including site type, crossing length and traffic signal countdown timers (TSCTs).
E-bikers’ RLR behavior is further divided into three categories, namely GR near-violations, RR violations, and RG violations.
Second, we use a binary logistic regression model to identify the relationship between e-bikers’ RLR behavior and potential influential factors, including demographic attributes, movement information, and infrastructure conditions.
We not only make regression analysis for respective violation type, but also carry out an integrated regression of a census of all three types of violations.
Some insightful findings are revealed: (i) the green signal time and site type are the most significant factors to GR near-violations, but with little impact on the other two violation types; (ii) the waiting time, waiting position, passing cars and crossing length exert considerable impact on RR violations; (iii) for RG violations, TSCTs, leading violators and gender are the most significant factors; (iv) it is also unveiled that site type, green signal time and TSCTs have negligible impact on the whole violations regardless of the violation types.
Thus, it is more meaningful to investigate the impacts of these variables on e-bikers’ RLR behavior according to different violation types; otherwise, the potential relationship between some crucial factors and e-bikers’ RLR behavior might be ignored.
These findings would help to improve intersection crossing safety for traffic management.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tang, Tianpei& Wang, Hua& Ma, Jie& Zhou, Xizhao. 2020. Analysis of Crossing Behavior and Violations of Electric Bikers at Signalized Intersections. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1175544
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tang, Tianpei…[et al.]. Analysis of Crossing Behavior and Violations of Electric Bikers at Signalized Intersections. Journal of Advanced Transportation No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1175544
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tang, Tianpei& Wang, Hua& Ma, Jie& Zhou, Xizhao. Analysis of Crossing Behavior and Violations of Electric Bikers at Signalized Intersections. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1175544
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175544
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