Critical review of cyclist speed measuring techniques

Kassim, Ali; Tayyeb, Hasan; Al-Falahi, Mubark

doi:10.1016/j.jtte.2019.09.001

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…This speed variation (that wind alone seemed to explain) may also, in part, reflect the differences between the location conditions and, possibly, other factors that were not recorded in this study. In fact, other factors than the nudge may have large effects on cyclists' speed; for instance, crossing pedestrians (Davies et al 2003), visibility conditions (obstructed view), slope, the width of the cycle path, and road standards and regulations (Kassim, Tayyeb, and Al-Falahi 2020;R€ as€ anen, Koivisto, and Summala 1999;Vansteenkiste et al 2013;Warner et al 2018). Different speed patterns were observed in the locations independent of the nudge.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, in location 2, where there was an unobstructed view, the cyclists slowed down from the beginning to the end of the nudge. In fact, several studies have identified that cyclists change their behavior in response to sight distance and the available field of view (Kassim, Tayyeb, and Al-Falahi 2020;Prati et al 2018;R€ as€ anen, Koivisto, and Summala 1999), the type of intersection, the width of the cyclist path and its gradient (Kassim, Tayyeb, and Al-Falahi 2020). In conclusion, cyclist infrastructure was different between the locations and it is crucial to keep in mind how the infrastructure may influence the behavior of cyclists (including their speed) to properly understand the effect of a nudge at that specific location.…”

Section: Discussionmentioning

confidence: 99%

“…When it comes to cyclists, one of the concerns were intersections, where a cyclist speed that is too high may become a hazard. Numerous studies have investigated possible factors that affect cyclist speeds (for review, see Kassim, Tayyeb, and Al-Falahi (2020)). For instance, commuter cyclists have been found to be more sensitive to factors related to travel time than, for example, infrastructure factors (Stinson and Bhat 2005).…”

Section: Introductionmentioning

confidence: 99%

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On the evaluation of visual nudges to promote safe cycling: Can we encourage lower speeds at intersections?

Kovaceva

Wallgren

Dozza

2022

Traffic Injury Prevention

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Objective: Crashes between cars and cyclists at urban intersections are common, and their consequences are often severe. Typical causes for this type of crashes included the excessive speed of the cyclist as well as car drivers failing to see the cyclist. Measures that decrease the cyclists' speed may lead to safer car-cyclist interactions. This study aimed to investigate the extent to which cyclists may approach intersections at a lower speed when nudged to do so. Methods: Visual flat-stripe nudges were placed on bicycle lanes in the proximity of uncontrolled intersections (with a history of car-cyclist crashes) in two locations in Gothenburg, Sweden. This specific nudge was the one obtaining the best results from a previous study that tested different nudges in controlled experiments. Video data from the intersections were recorded with a sitebased video recording system both before (baseline), and after (treatment), the nudge was installed. The video data was processed to extract trajectory and speed for cyclists. The baseline and treatment periods were equivalent in terms of day of the week, light, and weather conditions. Furthermore, two treatment periods were recorded to capture the effect of the nudge over time in one of the locations. Results: Leisure cyclists showed lower speeds in treatment than in baseline for both locations. Commuters were less affected by the nudge than leisure cyclists. This study shows that visual nudges to decrease cyclist speed at intersections are hard to evaluate in the wild because of the many confounders. We also found that the effect of visual nudges may be smaller than the effect of environmental factors such as wind and demographics, making their evaluation even harder. Conclusions: The observed effect of speed might not be very high, but the advantage both in terms of cyclist acceptance and monetary cost makes an investment in the measure very low risk. This study informs policymakers and road authorities that want to promote countermeasures to intersection crashes and improve the safety of cyclists at urban intersections.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the evaluation of visual nudges to promote safe cycling: Can we encourage lower speeds at intersections?

Kovaceva

Wallgren

Dozza

2022

Traffic Injury Prevention

View full text Add to dashboard Cite

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“…retrospective analyses are not possible, unlike with Google Street View). Video recordings also allow to estimate cyclist speed [13]. Satellite and aerial images are increasingly of sufficient quality to estimate modes and are more widely available.…”

Section: What Data Are Currently Available and What Are The Key Gaps?mentioning

confidence: 99%

Data gaps in transport behavior are bottleneck for tracking progress towards healthy sustainable transport in European cities

Chevance,

Nieuwenhuijsen,

Braga

et al. 2024

Environ. Res. Lett.

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Shifting to healthy, sustainable transport modes is essential to reduce greenhouse gases emissions, improve air quality, and promote physical activity in European cities. To date, a major barrier to monitoring progress towards this objective has been the absence of harmonized passenger transport data across cities. This Perspective synthesizes the outcome of a workshop bringing together experts in urban transportation, climate change mitigation, and health with the aim to identify solutions to overcome this barrier. We identified four data streams that could improve monitoring shifts towards active and public transport at the European level: (i) surveys, (ii) mobile phone data, (iii) street view data and (iv) bicycle and pedestrian counters. We examined the strengths and limitations of each data source and mapped publicly available datasets. We identified few coordinated efforts to collect active travel data among European cities; data gaps remain a critical bottleneck for research, benchmarking, and monitoring progress. Priorities for addressing these gaps include survey harmonization and support for longitudinal monitoring, the expansion of street view data and bicycle counter networks and the sustainable development of open access data repositories.

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“…In-situ experiment is also applied to collect trajectories and biometric data in varied studies [ 19 ]. A survey demonstrates the state of the art of none –intrusive cyclist speed measuring techniques [ 20 ]. Several studies capture cyclists’ behavior using video cameras that record at fixed locations.…”

Section: Literature Reviewmentioning

confidence: 99%

A UWB/INS Trajectory Tracking System Application in a Cycling Safety Study

Zhu

Yue

Suzuki³

et al. 2023

Sensors

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This paper focuses on the safety issue for cyclists and pedestrians at unsignalized intersections. The cycling speed needs to be calmed when approaching the intersection. This study proposes and deploys an integrated portable ultra-wideband/inertial navigation system (UWB/INS) to extract cycling trajectories for a cycling safety study. The system is based on open-source hardware and delivers an open-source code for an adaptive Kalman filter to enhance positioning precision for data quality assurance at an outdoor experimental site. The results demonstrate that the system can deliver reliable trajectories for low-mobility objects. To mitigate accident risk and severity, varied cycling speed calming measures are tested at an experimental site. Based on the trajectory data, the statistical features of cycling velocities are evaluated and compared. A new proposed geometric design is found to be most effective when compared with conventional traffic signs.

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Critical review of cyclist speed measuring techniques

Cited by 9 publications

References 16 publications

On the evaluation of visual nudges to promote safe cycling: Can we encourage lower speeds at intersections?

On the evaluation of visual nudges to promote safe cycling: Can we encourage lower speeds at intersections?

Data gaps in transport behavior are bottleneck for tracking progress towards healthy sustainable transport in European cities

A UWB/INS Trajectory Tracking System Application in a Cycling Safety Study

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