Investigating the Factors Affecting Rider’s Decision on Overtaking Behavior: A Naturalistic Riding Research in China

Cheng Wang, Liyang Wei, Kun Wang (), Hongya Tang, Bo Yang and Mengfan Li
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Cheng Wang: College of Civil Engineering, Hefei University of Technology, Hefei 230009, China
Liyang Wei: College of Civil Engineering, Hefei University of Technology, Hefei 230009, China
Kun Wang: School of Transportation Science and Engineering, Beihang University, Beijing 102206, China
Hongya Tang: School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China
Bo Yang: School of Internet, Anhui University, Hefei 230009, China
Mengfan Li: College of Civil Engineering, Hefei University of Technology, Hefei 230009, China

Sustainability, 2022, vol. 14, issue 18, 1-18

Abstract: Overtaking behavior between non-motorized vehicles is one of the main characteristics of the cycling path, and unsafe overtaking behavior has a certain negative impact on riders’ safety. However, little is known about the factors affecting riders’ overtaking decisions. This study aimed to identify the influence of road facilities, types of non-motorized vehicles, and human factors on the characteristics of overtaking behavior on bicycle lanes. DJI drone-based naturalistic riding research was explored in China and a random parameter logit regression model was estimated to model the overtaking decisions of non-motorized vehicle riders. The results showed that gender, age, professional deliverer, type of lead non-motor vehicle, type of non-motorized vehicles, and width of cycling lane influence overtaking behavior significantly. The present study provides theoretical evidence to strengthen the safety design and evaluation of cycling lane infrastructure.

Keywords: traffic safety; overtaking behavior; random parameter logit regression model; factor (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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