Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China
Electric bikes play an important role in the urban transportation system in China. Yellow-light running behavior of riders is one of the most critical factors for e-bike riders involved in traffic crashes at intersection. The main purpose of this study is to explore how a variety of factors affect e...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8573232 |
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| author | Jing Cai Jianyou Zhao Jing Liu Ke Shen Xun Li Yuntao Ye |
| author_facet | Jing Cai Jianyou Zhao Jing Liu Ke Shen Xun Li Yuntao Ye |
| author_sort | Jing Cai |
| collection | DOAJ |
| description | Electric bikes play an important role in the urban transportation system in China. Yellow-light running behavior of riders is one of the most critical factors for e-bike riders involved in traffic crashes at intersection. The main purpose of this study is to explore how a variety of factors affect e-bike riders’ yellow-light running behaviors at intersection by a field observation conducted in Xi’an, China. Based on 396 e-bike riders who faced yellow-light samples, two analytical methods, the principle component analysis logistics model and a base logistics model, were employed to evaluate the impacts of contributing factors on e-bike riders’ yellow-light running behavior. The modeling results showed that seven variables significantly affect the e-bike riders’ yellow-light running behavior, which were the approaching speed of e-bike, the distance to stop line, riders’ age and gender attributes, type of e-bike, and the characteristics of intersection including the width of intersection and the existence of physical barriers. This study can provide valuable insights into understanding e-bike riders’ yellow-light running behavior and may also help decision makers propose countermeasures to reduce e-bike rider-related crashes at intersection. |
| format | Article |
| id | doaj-art-ba09a15e695840dfbd41bbe0fbeb01f9 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-ba09a15e695840dfbd41bbe0fbeb01f92025-02-03T05:52:29ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/85732328573232Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in ChinaJing Cai0Jianyou Zhao1Jing Liu2Ke Shen3Xun Li4Yuntao Ye5School of Automobile, Chang’an University, Xi’an 710064, Shaan Xi, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, Shaan Xi, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, Shaan Xi, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, Shaan Xi, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, Shaan Xi, ChinaSchool of Automobile, Chang’an University, Xi’an 710064, Shaan Xi, ChinaElectric bikes play an important role in the urban transportation system in China. Yellow-light running behavior of riders is one of the most critical factors for e-bike riders involved in traffic crashes at intersection. The main purpose of this study is to explore how a variety of factors affect e-bike riders’ yellow-light running behaviors at intersection by a field observation conducted in Xi’an, China. Based on 396 e-bike riders who faced yellow-light samples, two analytical methods, the principle component analysis logistics model and a base logistics model, were employed to evaluate the impacts of contributing factors on e-bike riders’ yellow-light running behavior. The modeling results showed that seven variables significantly affect the e-bike riders’ yellow-light running behavior, which were the approaching speed of e-bike, the distance to stop line, riders’ age and gender attributes, type of e-bike, and the characteristics of intersection including the width of intersection and the existence of physical barriers. This study can provide valuable insights into understanding e-bike riders’ yellow-light running behavior and may also help decision makers propose countermeasures to reduce e-bike rider-related crashes at intersection.http://dx.doi.org/10.1155/2020/8573232 |
| spellingShingle | Jing Cai Jianyou Zhao Jing Liu Ke Shen Xun Li Yuntao Ye Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China Journal of Advanced Transportation |
| title | Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China |
| title_full | Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China |
| title_fullStr | Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China |
| title_full_unstemmed | Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China |
| title_short | Exploring Factors Affecting the Yellow-Light Running Behavior of Electric Bike Riders at Urban Intersections in China |
| title_sort | exploring factors affecting the yellow light running behavior of electric bike riders at urban intersections in china |
| url | http://dx.doi.org/10.1155/2020/8573232 |
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