• Journal of Korean Society for Geospatial Information Science
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• v.25 no.2
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• pp.39-47
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• 2017

Although motorcycle safety studies to date have identified the causes of motorcycle accidents in general, very few have investigated postal motorcycle accidents by studying the delivery postmen's specific work environment. To better understand postal motorcyclists' driving behavior associated with their delivery workload, we developed a system using V-World platform which visualizes driving behavior in real time along the driver's delivery route throughout an entire work day. We conducted a field test to examine the feasibility of our system by involving six delivery postmen currently working in Songpa, Seocheongju, and Gangseo, respectively. To show the potential of our system for nationwide comparison of postal motorcyclists' driving behavior and their workloads, we present several sample analyses using the collected field data. Although ideally, postmen's workloads should be standardized nationwide, we found large variation depending on regional characteristics of work area which affects postmen's driving behavior.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.182-192
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• 2022

Motorcycle accidents are increasing at an average annual rate of 10.01%, and fatalities are also increasing by 2.64%. Enforcement cameras are installed to enforce safe driving of more-than or equal-to four-wheeled vehicles on the road. Even though the main purpose of this enforcement camera is to disencourage the speed violation of all types of vehicle, one cannot expect complete enforcement by these cameras. In particular, enforcement of the motorcycle should rely on on-site activities through the input of on-site personnel. Recently, to discourage the illegal acts of motorcycling, the National Police Agency introduced the 'National Police Agency SMART National Report'. However, it is necessary to prepare an appropriate practical plan to maximize the effect of enforcement requiring continuous manpower management. This study proposed four types of rider certification IDs for delivery motorcycles. These IDs are institutional devices to manage delivery motorcycle riders. In addition, a experiment on enforcement was conducted using those license ID systems for delivery motorcycles. This experiment confirmed through the image-processing program (D-MESO) if one of the systems was possible to implement for enforcement on the delivery motorcycle rider's license.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.84-96
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• 2023

Purpose: In this study, to protect delivery platform workers from danger, we intend to propose a plan to improve safety management. Method: To protect delivery platform workers, safety-related legal systems and cases were found and analyzed, and statistical results derived from a survey of delivery platform workers were analyzed, and safety management improvement measures were presented. Result: In Korea, safety measures against weather deterioration were not clearly presented in the contents of the law for the safety of delivery platforms, and the survey confirmed that safety education was not fully conducted, and most of them experienced accidents by receiving calls through apps or programs during delivery. Conclusion: This study could suggest safety management improvement plans for delivery platform workers, but since detailed questionnaire items related to motorcycles were not investigated, various accident results that could occur due to motorcycles used by delivery platform workers could not be identified.

• Knowledge Management Research
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• v.25 no.1
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• pp.217-233
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• 2024

The demand for two-wheelers has increased in recent years, driven by the growing delivery culture, which has also led to a rise in the number of two-wheelers. Although two-wheelers are economically efficient in congested traffic conditions, reckless driving and ambiguous traffic laws for two-wheelers have turned two-wheeler accidents into a significant social issue. Given the high fatality rate associated with two-wheelers, the severity and risk of two-wheeler accidents are considerable. It is, therefore, crucial to thoroughly understand the characteristics of two-wheeler accidents by analyzing their attributes. In this study, the characteristics of two-wheeled vehicle accidents were categorized using the K-prototypes algorithm, based on data from two-wheeled vehicle accidents. As a result, the accidents were divided into four clusters according to their characteristics. Each cluster showed distinct traits in terms of the roads where accidents occurred, the major laws violated, the types of accidents, and the times of accident occurrences. By tailoring enforcement methods and regulations to the specific characteristics of each type of accident, we can reduce the incidence of accidents involving two-wheelers in metropolitan areas, thereby enhancing road safety. Furthermore, by applying machine learning techniques to urban transportation and safety, this study adds to the body of related literature.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.241-250
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• 2022

Due to the COVID-19 pandemic, with increased 'untact' services and with unstable household economy, the bike insurance fraud is expected to surge. Moreover, the fraud methodology gets complicated. However, the fraud detection model for bike insurance is absent. we deal with the issue of skewed class distribution and reflect the criterion of fraud detection expert. We utilize a balanced random-forest algorithm to develop an efficient bike insurance fraud detection model. As a result, while the predictive performance of balanced random-forest model is superior than it of non-balanced model. There is no significant difference between the variables used by the experts and the confirmatory models. The important variables to detect frauds are turned out to be age and gender of driver, correspondence between insured and driver, the amount of self-repairing claim, and the amount of bodily injury liability.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.826-827
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• 2023

본 연구는 이륜차를 운전함에 있어 기존의 스마트 AR 헬멧과 달리 비대면 음식 배달 서비스 사업에 보다 특화되고 안전에 중점을 둔 스마트 헬멧을 개발하는 방안을 제시하고 있다. 스마트 헬멧, 그리고 본 헬멧과 연동되는 어플리케이션의 개발을 진행하며 웹 대시보드를 통해 라이더의 실시간 위치를 확인하는 기능을 지원한다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.61-69
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• 2022

As the delivery industry grew around the restaurant industry along with the COVID-19 situation, the number of delivery workers increased significantly. Along with that, new forms of delivery using personal mobility (PM) also emerged and two-wheeled or PM-related accidents are steadily increasing. This study manufactures a PM's driving analysis device to establish a safe delivery monitoring environment. This system was constructed to process data collected from the driving analysis device and through a cloud server, which would recognize and record special situations (acceleration/deceleration, speed bump) that could occur during the PM's driving situation. As a result, the angular speed, acceleration, and geomagnetic values collected from the IMU in the device were able to determine whether to drive, drive on the sidewalk, and drive on the speed bump. This technology was able to achieve approximately 1600 times more driving information storage efficiency than conventional image-based recording devices.

• Journal of the Korea Safety Management & Science
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• v.24 no.2
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• pp.41-50
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• 2022

The food delivery platform labor market has been continuing to grow rapidly in Korea, which resulted in traffic accident increases of delivery riders. To prevent traffic accidents while delivery, this study conducted a survey for 462 delivery riders and analyzed the statistical relationships of delivery characteristics and risk perception with delivery accidents. The results of this study revealed that riders with young age (20s: 46.6%) and/or low delivery experience (less than 1 year: 50.6%) had significantly higher proportion of accident experience than other age groups (over 40s: 36.2%) and high delivery experience (more than 2 years: 36.4%). In addition, side job riders (61.5%) showed significantly higher proportion of accident experience than main job riders (39.1%). The riders with accident experience had more number of deliveries per hour (weekday: 3.56, weekend: 3.91) than the riders without accident experience (weekday: 3.29, weekend: 3.68). Lastly, the riders with accident experience rated significantly higher perceived level of risk on weather, violation of traffic laws, uninspected motorcycle, receiving calls while driving, missing safety training, missing personal protective equipment than the riders without accident experience. This study suggested four aspects based on the study results to prevent traffic accidents for delivery riders.

• Journal of the Korean Society of Safety
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• v.37 no.6
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• pp.118-127
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• 2022

This study analyzes the characteristics of occupational accidents of food delivery via motorcycle in terms of accident probability and work-days. Depending on their employment status, food-delivery workers were divided into "employed" workers (who work for restaurants) and "special-type" workers (who work for delivery platforms). Collected data include occupational accident-information during the last two years (1,468 cases for employed workers and 4,899 cases for special-type workers) and their risk information such as age, work experience, accident location, season of the accident, and weather conditions. The study finds that special-type workers had a significantly higher accident probability for the younger age group (80.8%), while employed workers had more accidents in both 20's or younger (34.9%) and 50's or older (25.4%). The number of work-days-lost was higher for special-type workers with less work experience, and it decreased with increasing work experience. Moreover, the chance for accidents was higher at night time (55%) than for day time (45%) for special-type workers as well as for employed workers. The number of work-days-lost was higher in foreign workers (180.79 days) than in Korean workers (121.44 days). Accident probability (30.7%) and work-days-lost (136.2 days) was higher in winter than in other seasons. In addition, accidents-per-day was higher on snowy days (12.7 cases per day) than rainy (8.1) and windy days (7.1). In addition, it was found that deadly accidents mainly caused injuries to face, head, and chest, while non-deadly accidents affected mainly the legs and feet. This study enables the development of better policies to prevent accidents of food delivery workers.

• Journal of the Korean Society of Safety
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• v.37 no.1
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• pp.70-77
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• 2022

The total number of Korean restaurants using delivery applications has substantially increased from 7.6% in 2018 to 11.2% in 2019. In 2020, the gross sales in the food delivery service market reached approximately 17 trillion won; this amount is virtually six times that in 2017 (i.e., 2 trillion won). Meanwhile, the annual average death toll of motorcycle riders increased by 3.5%, whereas the number of deaths due to other traffic accidents decreased by 8.2%. Consequently, the foregoing has become a critical social problem. Despite the continuing increase in the number of delivery riders due to the rapid expansion of the delivery industry, no appropriate safety management system has been established. Moreover, the government is experiencing difficulties in assessing the exact situation because of the absence of competent authority. In this study, fundamental data on the characteristics of delivery work and motorcycle accidents were collected through surveys and interviews; then, the influencing factors of traffic accidents were analyzed. Different influencing factors were identified: work experience as a rider; number of deliveries; whether to accept delivery requests in transit; manner of accepting delivery requests; and traffic law violations, such as speeding (for faster delivery) and running a red light. Because the motorcycle delivery industry has a relatively low job-entry barrier (i.e., special qualifications are not required), the riding skills of riders must be improved, and delivery companies must be technically developed to achieve a safe working environment. The results of this study can be utilized as fundamental data for system development or structural improvement of the delivery industry.