Abstract
Cyclists occupying motorized vehicle lanes disrupt road traffic order and increase collisions. Exploring the contributing factors could help develop countermeasures to regulate such behaviors. The purpose of this study is to explore the intrinsic features influencing the behavior of cyclists in occupying motorized vehicle lanes at different bicycle facilities. We investigated a total of 34,631 cycling behavior samples in the urban area of Pingdingshan, China. A Bayesian random parameter logit model was used to account for the unobserved heterogeneous effects. The experimental results of all bike facilities demonstrate that the bike type, dividing strip type, bike lane width, temporary on-street parking, and whether it is a working day significantly affect cyclists’ occupying motorized vehicle lane behaviors. Factors associated with unobserved heterogeneity are age, barriers dividing strip, vehicle lane numbers, bike volume, vehicle volume, and daily recording time intervals. Comparing the estimated model of five type bike lane facilities across different dividing strips, we find that cyclists have a significantly different occupying probability and the heterogeneity factors of the various bike facilities also have their focus. When the non-motorized road conditions become more open, the cyclist behavior becomes more random and the heterogeneity factors become broader.
Highlights
Published: 11 January 2022With the development of the economy of China and society, motor-driven oriented traffic has led to tremendous traffic congestion pressure on urban traffic
Both the standard logit model and Bayesian random parameter logit model were estimated to evaluate the impact of factors on cyclists’ occupying motorized vehicle lanes behaviors (COMB)
We found that the dividing strip between non-motorized lanes and motor vehicle lanes had the most significant impact on COMB
Summary
Published: 11 January 2022With the development of the economy of China and society, motor-driven oriented traffic has led to tremendous traffic congestion pressure on urban traffic. Riding bicycles as a fast, low-cost, and flexible mode of transportation meets the strong demand of the working class for travel, which has an increasing advantage in the growth of the user market [1]. The number of non-motor vehicles has increased. Non-motorized vehicles, electric two-wheelers, have become an essential mode of transportation for residents traveling short and medium distances. The rapid growth in the number of electric twowheelers presents new challenges to transportation systems [4]. New modes of transport changes the manner of mobility [5], which may lead to remarkable changes in cyclist behavior compared to the past [6]
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