Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes
Many urban streets are designed with on-street bike lanes to provide right-of-way for bicycle traffic. However, when bicycle flow is large, extensive passing maneuvers could occupy vehicle lanes and thus cause interferences to vehicle traffic. The primary objective of this study is to evaluate how b...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/6973089 |
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| _version_ | 1832564111856107520 |
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| author | Ziyuan Pu Zhibin Li Yong Wang Mao Ye Wei (David) Fan |
| author_facet | Ziyuan Pu Zhibin Li Yong Wang Mao Ye Wei (David) Fan |
| author_sort | Ziyuan Pu |
| collection | DOAJ |
| description | Many urban streets are designed with on-street bike lanes to provide right-of-way for bicycle traffic. However, when bicycle flow is large, extensive passing maneuvers could occupy vehicle lanes and thus cause interferences to vehicle traffic. The primary objective of this study is to evaluate how bicycle traffic affects vehicle operation on urban streets with bike lanes. Data were collected on six street segments in Nanjing, China. The cumulative curves were constructed to extract traffic flow information including individual bicycle and vehicle speeds and aggregated traffic parameters such as flow and density. The results showed that as bicycle density on bike lanes continuously increases faster bicycles may run into vehicle lanes causing considerable reductions in vehicle speeds. A generalized linear model was estimated to predict the vehicle delay. Results showed that vehicle delay increases as bicycle flow and vehicle flow increase. Number of vehicle lanes and width of bike lane also have significant impact on vehicle delay. Findings of the study are helpful to regions around the world in bike infrastructure design in order to improve operations of both bicycles and vehicles. |
| format | Article |
| id | doaj-art-2481e5313da04809a88083110415bdfd |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-2481e5313da04809a88083110415bdfd2025-02-03T01:11:48ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/69730896973089Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike LanesZiyuan Pu0Zhibin Li1Yong Wang2Mao Ye3Wei (David) Fan4Smart Transportation Application and Research Laboratory, Department of Civil and Environmental Engineering, University of Washington, 101 More Hall, Seattle, WA 98195, USASchool of Transportation, Southeast University, 2 Si Pai Lou, Nanjing, Jiangsu 210096, ChinaSchool of Economics and Management, Chongqing Jiaotong University, 66 Xuefu Road, Nan’an District, Chongqing 400074, ChinaDepartment of Transportation Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, ChinaDepartment of Civil Engineering, University of North Carolina at Charlotte, EPIC Building, Room 3261, 9201 University City Boulevard, Charlotte, NC 28223-0001, USAMany urban streets are designed with on-street bike lanes to provide right-of-way for bicycle traffic. However, when bicycle flow is large, extensive passing maneuvers could occupy vehicle lanes and thus cause interferences to vehicle traffic. The primary objective of this study is to evaluate how bicycle traffic affects vehicle operation on urban streets with bike lanes. Data were collected on six street segments in Nanjing, China. The cumulative curves were constructed to extract traffic flow information including individual bicycle and vehicle speeds and aggregated traffic parameters such as flow and density. The results showed that as bicycle density on bike lanes continuously increases faster bicycles may run into vehicle lanes causing considerable reductions in vehicle speeds. A generalized linear model was estimated to predict the vehicle delay. Results showed that vehicle delay increases as bicycle flow and vehicle flow increase. Number of vehicle lanes and width of bike lane also have significant impact on vehicle delay. Findings of the study are helpful to regions around the world in bike infrastructure design in order to improve operations of both bicycles and vehicles.http://dx.doi.org/10.1155/2017/6973089 |
| spellingShingle | Ziyuan Pu Zhibin Li Yong Wang Mao Ye Wei (David) Fan Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes Journal of Advanced Transportation |
| title | Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes |
| title_full | Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes |
| title_fullStr | Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes |
| title_full_unstemmed | Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes |
| title_short | Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes |
| title_sort | evaluating the interference of bicycle traffic on vehicle operation on urban streets with bike lanes |
| url | http://dx.doi.org/10.1155/2017/6973089 |
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