TABLE 2.
Basic characteristics of the included studies.
| Author(s), year, location | Title | Objective | Method/data collection | Sample size | Interactants |
|---|---|---|---|---|---|
| Abadi et al. (2019), US | Factors impacting bicyclist lateral position and velocity in proximity to commercial vehicle loading zones: Application of a bicycling simulator | Do engineering treatments (markings and signs) and truck maneuver have any effect on the bicyclists’ velocity and lateral position in the bicycling environment? | Bicycle simulator experiment | 48 participants | HGV-cyclist |
| Beck et al. (2019), AU | How much space do drivers provide when passing cyclists? Understanding the impact of motor vehicle and infrastructure characteristics on passing distance | Quantify passing distance and assess the impact of motor vehicle and road infrastructure characteristics | Naturalistic riding study | 60 participants, 379 overtakes by trucks | HGV-cyclist |
| Beck et al. (2021), AU | Subjective experiences of bicyclists being passed by motor vehicles: The relationship to motor vehicle passing distance | Explore the relationship between cyclists’ subjective experiences and the lateral passing distance of motor vehicles | Naturalistic riding study | 60 participants, 379 overtakes by trucks | HGV-cyclist |
| Chuang et al. (2013), TW | The use of a quasi-naturalistic riding method to investigate bicyclists’ behaviors when motorists pass | Investigate how motorized vehicle-related factors, road-related factors, and bicyclist-related factors influence passing events | Instrumented bicycle experiment | 34 participants | HGV-cyclist |
| Colley et al. (2020), DE | Evaluating Highly Automated Trucks as Signaling Lights | Investigate interactions and external communication when an automated truck is blocking a sidewalk | Virtual Reality experiment | 20 participants | Highly automated HGV-pedestrian |
| Dozza et al. (2016), SE | How do drivers overtake cyclists? | Explore overtaking scenarios and quantify the corresponding driver comfort zones | Instrumented bicycle experiment | 10 overtakes by trucks | HGV-cyclist |
| Garcia et al. (2020), ES | Influence of peloton configuration on the interaction between sport cyclists and motor vehicles on two-lane rural roads | Investigate risks associated to the interaction with motor vehicles of cyclists riding in a peloton | Instrumented bicycle experiment | 73 overtakes by trucks | HGV-cyclist |
| Jashami et al. (2020), US | The Impact of Commercial Parking Utilization on Cyclist Behavior in Urban Environments | Evaluate the impact of commercial vehicle loading and unloading activities on safe and efficient bicycle operations in a shared urban roadway environment | Bicycle simulator experiment | 48 participants | HGV-cyclist |
| Kircher and Ahlström (2020), SE | Truck drivers’ interaction with cyclists in right-turn situations | Investigate truck drivers’ speed choice, gaze behaviour, and interaction strategies in relation to VRUs when turning right in signalized and non-signalised intersections | Semi-controlled naturalistic experiment | 29 participants | HGV-Cyclist |
| Kircher et al. (2020), SE | Effects of training on truck drivers’ interaction with cyclists in a right turn | Explore the effects of training truck drivers in anticipatory driving to improve their interaction with cyclists | Semi-controlled naturalistic experiment | 15 participants | HGV-Cyclist |
| Petzoldt. (2016), DE | Size speed bias or size arrival effect—How judgments of vehicles’ approach speed and time to arrival are influenced by the vehicles’ size | Clarify the relationship between size speed bias and size arrival effect | Video experiment | 39 participants | HGV-VRU |
| Petzoldt et al. (2017), DE | Time to Arrival Estimates, (Pedestrian) Gap Acceptance and the Size Arrival Effect | Investigate whether the size arrival effect that is prevalent in time to arrival estimates can explain the variations in gap acceptance | Video experiment | 27 participants | HGV-pedestrian |
| Pitera et al. (2017), NO | The complexity of planning for goods delivery in a shared urban space: a case study involving cyclists and trucks | Examine issues related to freight delivery on a street section with a high volume of cyclists | Video observational study | 1,358 observations | HGV-cyclist |
| Pokorny and Pitera (2019), NO | Observations of truck-bicycle encounters: A case study of conflicts and behaviour in Trondheim, Norway | Exploring the behaviors and conflicts surrounding truck–bicycle encounters | Video observational study | 979 encounters, 31 conflicts | HGV-cyclist |
| Richter and Sachs (2017), DE | Turning accidents between cars and trucks and cyclists driving straight ahead | Investigate driving and gaze behavior during right turning | Truck simulator experiment | 48 participants | HGV-cyclist |
| Schindler and Bianchi Piccinini (2021), SE | Truck drivers’ behavior in encounters with vulnerable road users at intersections: Results from a test-track experiment | Assess how HGV drivers negotiate the encounters with VRUs in two scenarios | Test-track experiment | 13 participants | HGV-VRU |
| Thorslund and Lindström (2020), SE | Cyclist strategies and behaviour at intersections. Conscious and un-conscious strategies regarding positioning | Examine the typical behavior among cyclists in terms of positioning themselves when passing an intersection | Bicycle simulator experiment | 33 participants | HGV-cyclist |
| Twisk et al. (2018), NL | Higher-order cycling skills among 11- to 13-year-old cyclists and relationships with cycling experience, risky behavior, crashes and self-assessed skill | Assess the level of higher-order cycling skill among children | Video experiment | 335 participants | HGV-cyclist |
| Walker (2007), United Kingdom | Drivers overtaking bicyclists: Objective data on the effects of riding position, helmet use, vehicle type and apparent gender | Present behavioral data on drivers’ overtaking around bicyclists | Instrumented bicycle experiment | A total of 2,355 vehicle overtakes | HGV-cyclist |