Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups
The red-light running (RLR) behaviors of urban mixed e-bike groups (delivery and ordinary e-bike) have become the main cause of traffic accidents at signalized intersections. The primary purpose of this study is to identify influencing factors of e-bike riders’ RLR behaviors, focusing on the role of...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/1977388 |
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| author | Fan Zhang Chenchen Kuai Huitao Lv Wenhao Li |
| author_facet | Fan Zhang Chenchen Kuai Huitao Lv Wenhao Li |
| author_sort | Fan Zhang |
| collection | DOAJ |
| description | The red-light running (RLR) behaviors of urban mixed e-bike groups (delivery and ordinary e-bike) have become the main cause of traffic accidents at signalized intersections. The primary purpose of this study is to identify influencing factors of e-bike riders’ RLR behaviors, focusing on the role of delivery e-bike riders in mixed e-bike rider groups. Crossing behaviors of 4,180 e-bike samples (2006 delivery e-bikes and 2174 ordinary e-bikes) at signalized intersections are observed in Xi’an, China. The random parameter multinomial logit model is employed to capture the unobserved heterogeneous effects, and the effects of interaction terms are also considered. The results indicate that delivery e-bike riders are more likely to run red lights than ordinary e-bike riders. E-bike type, riders’ age, waiting position, traffic volume, traffic light type, and time of day are associated with crossing behaviors in urban mixed e-bike groups. In addition, the variable of traffic light status is found to account for unobserved heterogeneity. Findings are indicative to the development of effective implications in improving e-bikes’ traffic safety level at signalized intersections. |
| format | Article |
| id | doaj-art-14c4a5fdb59a40b697031f464df5e90e |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-14c4a5fdb59a40b697031f464df5e90e2025-02-03T01:08:52ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/19773881977388Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed GroupsFan Zhang0Chenchen Kuai1Huitao Lv2Wenhao Li3School of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing, Jiangsu, ChinaSchool of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing, Jiangsu, ChinaSchool of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing, Jiangsu, ChinaSchool of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing, Jiangsu, ChinaThe red-light running (RLR) behaviors of urban mixed e-bike groups (delivery and ordinary e-bike) have become the main cause of traffic accidents at signalized intersections. The primary purpose of this study is to identify influencing factors of e-bike riders’ RLR behaviors, focusing on the role of delivery e-bike riders in mixed e-bike rider groups. Crossing behaviors of 4,180 e-bike samples (2006 delivery e-bikes and 2174 ordinary e-bikes) at signalized intersections are observed in Xi’an, China. The random parameter multinomial logit model is employed to capture the unobserved heterogeneous effects, and the effects of interaction terms are also considered. The results indicate that delivery e-bike riders are more likely to run red lights than ordinary e-bike riders. E-bike type, riders’ age, waiting position, traffic volume, traffic light type, and time of day are associated with crossing behaviors in urban mixed e-bike groups. In addition, the variable of traffic light status is found to account for unobserved heterogeneity. Findings are indicative to the development of effective implications in improving e-bikes’ traffic safety level at signalized intersections.http://dx.doi.org/10.1155/2021/1977388 |
| spellingShingle | Fan Zhang Chenchen Kuai Huitao Lv Wenhao Li Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups Journal of Advanced Transportation |
| title | Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups |
| title_full | Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups |
| title_fullStr | Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups |
| title_full_unstemmed | Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups |
| title_short | Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups |
| title_sort | investigating different types of red light running behaviors among urban e bike rider mixed groups |
| url | http://dx.doi.org/10.1155/2021/1977388 |
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