Risky business: Comparing the riding behaviours of food delivery and private bicycle riders

Oviedo-Trespalacios, Óscar; Rubie, Elisabeth; Haworth, Narelle

doi:10.1016/j.aap.2022.106820

Cited by 48 publications

(15 citation statements)

References 38 publications

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“…Published research in the literature has shown that unsafe behavior while cycling leads to collisions [1][2][3][4][5][9][10][11][12]24]. However, there are no studies explicitly addressing the relationship between the use of mobile phones while cycling with riders' social network, and other unsafe acts leading to crashes/falls.…”

Section: Discussionmentioning

confidence: 99%

“…Research has shown that the use of mobile phone, whether it is being used for talking or text messaging, while cycling makes the rider more vulnerable to collisions [9][10][11][12][13][14]. For example, it was found that the use of touchscreen smart phones and traditional keyboard phones while cycling both exhibited a negative impact on cycling, increasing the risk of crashes [13].…”

Section: The Use Of Mobile Phones While Ridingmentioning

confidence: 99%

“…There has been a great deal of effort aimed at understanding the use of mobile phones while cycling [1][2][3][4][5][9][10][11][12]24]. However, there is little research on the use of mobile phones and the related social network while riding a bicycle.…”

Section: On the Use Of Mobile Phones For Talking/text Messaging While...mentioning

confidence: 99%

“…Moreover, the length of a trip plays an important factor, and the age of the cyclists may contribute to a fall/crash [5]. Furthermore, the food delivery industry, time pressure to provide a service on time pushes the riders, for example, to bypass red lights [9]. More research on these issues is needed.…”

mentioning

confidence: 99%

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The Use of Mobile Phones and Other Unsafe Behavior While Cycling in the Metropolitan Area of Mexico City

2022

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Unsafe behavior while driving contributes to road accidents. The paper addresses cyclists’ risky behavior by employing a questionnaire-based survey to a sample of n = 1136 in the metropolitan area of Mexico City. The main results are as follows: (a) 31.4% and 24.2% of the participants use a mobile phone for talking and text messaging while cycling, respectively, with males engaging in these unsafe acts more often than females; (b) a high percentage of participants are most likely to communicate with their parents, through either talking (48.9%) or text messaging (39.6%); (c) regarding the use of mobile phones for talking/texting (along with social network and gender) as predictors of a crash/fall while cycling, it was found that a one SD change in the frequency of talking while cycling increased the odds of a crash/fall by a factor of 1.198, as did a one SD increase in the frequency of texting by 1.232, while gender contributed to the outcome but not the individuals to whom cyclists talk or text; (d) cycling “without holding the handlebars” contributed significantly to the outcome. An education campaign or legislation enforcement (or both) may be needed to prevent single-bicycle crashes related to this unsafe act.

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Section: Discussionmentioning

confidence: 99%

Section: The Use Of Mobile Phones While Ridingmentioning

confidence: 99%

Section: On the Use Of Mobile Phones For Talking/text Messaging While...mentioning

confidence: 99%

mentioning

confidence: 99%

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The Use of Mobile Phones and Other Unsafe Behavior While Cycling in the Metropolitan Area of Mexico City

2022

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“…The studies mentioned above primarily focused on ODFD drivers’ stated experiences and, therefore, could generate findings that deviate from their actual behavior ( 25 ). Two exceptions are the studies done by Wang et al ( 26 ) and Oviedo-Trespalacios et al ( 27 ), who both used roadside observations to examine ODFD drivers’ aggressive and risky behaviors, such as mobile phone use, helmet-wearing, and red-light running. Although such methods allowed for a categorical characterization of ODFD drivers’ maneuvers (e.g., whether one ran a red light or violated a traffic rule), data collected from human observations by standing at the roadside were limited to subjective maneuver recognition.…”

mentioning

confidence: 99%

Kinematic Characterization of Risky Riding Behavior of On-Demand Food-Delivery Motorcyclists in Taiwan

Hsu

Lee

Wong

2023

Transportation Research Record: Journal of the Transportation R

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The rising on-demand food-delivery (ODFD) industry has raised road safety concerns because of the often aggressive and risky driving behavior among ODFD drivers, especially those on motorcycles. This study aims to characterize their aggressive and risky driving behavior with respect to microscopic kinematic characteristics and vehicular interactions. We employed traffic videos collected by unmanned aerial vehicles at two intersections in Taipei, Taiwan, with a 0.1 s time resolution. We extracted vehicular trajectory data using artificial intelligence-based video recognition algorithms to obtain microscopic kinematic variables. We compared microscopic traffic flow characteristics (i.e., speed, lateral velocity, and acceleration) and microscopic interactions (i.e., weaving maneuver frequency, safety gap, and time-to-collision) presented by ODFD and non-ODFD drivers. In addition, we compared the difference in their driving behaviors between non-meal-peak hours and meal-peak hours, hypothetically caused by the platform-employed incentive program. We found that, compared to non-ODFD drivers, ODFD drivers could be more likely to perform aggressive and risky driving, indicated by their faster longitudinal and lateral speed, harsher acceleration/deceleration, more frequent weaving maneuvers, shorter safety gaps, and shorter time-to-collision. Also, their aggressive and risky driving behavior could more likely occur during meal-peak hours. To our knowledge, this research is the first study using naturalistic traffic data to investigate the revealed driving behavior of ODFD drivers, contributing to kinematic/quantitative understandings of ODFD drivers’ aggressive and risky driving. Based on these findings, policymakers and platform companies can prescribe countermeasures and devise training programs to improve public road safety and the occupational safety of ODFD drivers, a vulnerable occupational group emerging worldwide.

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Government Initiative to Reduce the Failed or Unsuccessful Delivery Orders Attempts in the Last Mile Logistics Operation

Younus

Nurmandi

Misran

et al. 2023

Lecture Notes in Computer Science

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Risky business: Comparing the riding behaviours of food delivery and private bicycle riders

Cited by 48 publications

References 38 publications

The Use of Mobile Phones and Other Unsafe Behavior While Cycling in the Metropolitan Area of Mexico City

The Use of Mobile Phones and Other Unsafe Behavior While Cycling in the Metropolitan Area of Mexico City

Kinematic Characterization of Risky Riding Behavior of On-Demand Food-Delivery Motorcyclists in Taiwan

Government Initiative to Reduce the Failed or Unsuccessful Delivery Orders Attempts in the Last Mile Logistics Operation

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