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Author:

Wang, Lin (Wang, Lin.) | Ran, Jin (Ran, Jin.) | Wei, Zhonghua (Wei, Zhonghua.) | Qiu, Shi (Qiu, Shi.) | Wang, Shaofan (Wang, Shaofan.)

Indexed by:

EI Scopus

Abstract:

In recent years, non-motorized vehicle (NMV) groups for the purpose of avoiding traffic jams and facilitating travel have developed rapidly in urban traffic. They share limited right-of-way on urban roads, which leads to more conflicts between each other and increasing accident risks. In this research, the traffic flow characteristics of three types of NMV, namely bicycles (B), electric bicycles (EB), and electric tricycles (ET), on three independent bicycle lanes in Beijing were extracted by two-dimensional trajectory tracking method. The relationship between different traffic conflicts and traffic density and anti-riding rate is studied. Results indicate two remarkable findings: (1) densities of B, EB, and ET, which are mostly influenced by speed, are correlated with different types of conflicts; (2) the EB conflict shows a strong linear correlation with EB density. The linear prediction model of opposing conflict is established using reverse riding ratios of B, EB, and ET. This research recommends that reverse riding of NMV should be eliminated to reduce the bicycle lane conflict. And unidirectional non-motorized roads with physical isolation are proposed for construction in urban areas with large non-motorized traffic flow. Moreover, the travel speed of NMV on bicycle lane should be further regulated to provide safe and friendly riding environment for riders. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keyword:

Traffic congestion Sporting goods Street traffic control Electric vehicles Bicycles

Author Community:

  • [ 1 ] [Wang, Lin]Shandong Transportation Research Institute, Jinan; 250100, China
  • [ 2 ] [Ran, Jin]Shandong Transportation Research Institute, Jinan; 250100, China
  • [ 3 ] [Wei, Zhonghua]College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Qiu, Shi]College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Wang, Shaofan]College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China

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Source :

ISSN: 1876-1100

Year: 2022

Volume: 775

Page: 275-290

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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