• Title/Summary/Keyword: Rental car accident

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Risk Factors Affecting the Injury Severity of Rental Car Accidents in South Korea : an Application of Ordered Probit Model (순서형 프로빗 모형을 이용한 렌터카 사고 심각도 영향요인 분석)

  • Kwon, Yeong min;Jang, Ki tae;Son, Sang hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.3
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    • pp.1-17
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    • 2018
  • Over the past five years (2010-2014), the total number of traffic accidents has decreased from 226,878 to 223,552 with decrease of 0.37 percent each year. The death toll has also decreased from 5,505 to 4,762. However, the number of rental car accidents and fatalities has been steadily increased. Despite of its growth, no previous study has been conducted on rental car accident severity. This study analyzed data of 18,050 rental car accidents in South Korea collected from 2010 to 2014 and then processed in order to identify which factors could affect the accident severity. Seventeen factors related to rental car accident severity were grouped into four categories: driver, vehicle, roadways and environment. As a result of the ordered probit model analysis, fourteen variables excluding age, intersection, and day of week were found to affect the severity of rental car accidents. The results of the study summarized as follows. First of all, violation of traffic regulations such as speeding increase the severity of rental car accidents. Secondly, rental accident severity is higher at curved sections of complicated roadway, which the driver's field of view is impaired. The results of this study can be used to reduce the severity of rental car accidents in transportation safety.

A Comparative Analysis of the Rental-car and non-Commercial Passenger Car Accident Characteristics in Jeju Island (제주지역 렌터카 및 비사업용 승용차 사고특성 비교분석)

  • KWON, Yeongmin;JANG, Kitae;SON, Sanghoon
    • Journal of Korean Society of Transportation
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    • v.35 no.2
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    • pp.105-115
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    • 2017
  • Each year, a number of tourists visit Jeju Island, a popular tourist destination in the Republic of Korea. A large portion of the tourists (about 61%) use a rental car as a means of transportation. With this reason, the number of rental cars registered in Jeju was 15,517 in 2011, while the total number of the rental car has rapidly increased to 26,338 in 2015. For the same period, the number of rental car involved traffic accidents has been doubled. Thus, this study aims to analyze the rental car accidents' characteristics, clarifying primary factors related to rental car accidents in Jeju Island. To do this, 918 rental car accidents and 4,201 non-commercial passenger car accidents that occurred in Jeju island over the two years (2014-2015) were compared, using statistical methods such as chi-square test and z-test. The results show that the characteristics of rental car involved accidents are different from those caused by the passenger cars. Most of the rental car accidents in Jeju were caused by young drivers and drivers who had just obtained their driver's licenses. This study finds that driver immaturity, unfamiliar geography, and driving an unfamiliar vehicle are the main causes of the rental car accidents. Statistical analysis confirms that the characteristics of these accidents appeared significantly different from the passenger cars in terms of human and environmental factors. On the other hand, there is no clear evidence that vehicle-related characteristics are different between rental car and non-commercial passenger car accidents. The implications on transportation safety analysis and effective solutions to prevent rental car traffic accidents are discussed.

Cargo Accident with Car Sharing in South Korea

  • Kwak, Young-Arm;Cho, Young-Sang
    • Journal of Distribution Science
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    • v.15 no.8
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    • pp.29-36
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    • 2017
  • Purpose - This paper proposes some ideas with a view to reducing any possible accidents caused by unlicensed drivers and an illegal use of other's name, particularly by teenagers in consideration of easy and simple instruction on smartphone with very weak and mere consciousness on auto life. Research design, data, and methodology - This study analyzes some accident cases between cargo trucks and rental cars in South Korea, and unlicensed vehicle with unlicensed drivers who use rental cars collided with cargo trucks which were loaded a lot of goods to be delivered to buyer designated. In order to fulfill this research, a case study accompanied with literature survey was conducted. Ideal suggestion for the right growth on rental car industry will be realized by legislation of the law. Results - This paper classified bodily injury of the victim, property damage and damaged cargo arising out of the unlicensed who is driving on car sharing service in South Korea. Conclusions - For the purpose of reducing cargo accidents caused by unlicensed drivers and an illegal use of other's name particularly by teenagers, this paper proposes some ideas of Amendment of the law, Paradigm shift of car sharing company, Preparation by association side and Technical Complementary Measures in South Korea.

Prediction of Severities of Rental Car Traffic Accidents using Naive Bayes Big Data Classifier (나이브 베이즈 빅데이터 분류기를 이용한 렌터카 교통사고 심각도 예측)

  • Jeong, Harim;Kim, Honghoi;Park, Sangmin;Han, Eum;Kim, Kyung Hyun;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.4
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    • pp.1-12
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    • 2017
  • Traffic accidents are caused by a combination of human factors, vehicle factors, and environmental factors. In the case of traffic accidents where rental cars are involved, the possibility and the severity of traffic accidents are expected to be different from those of other traffic accidents due to the unfamiliar environment of the driver. In this study, we developed a model to forecast the severity of rental car accidents by using Naive Bayes classifier for Busan, Gangneung, and Jeju city. In addition, we compared the prediction accuracy performance of two models where one model uses the variables of which statistical significance were verified in a prior study and another model uses the entire available variables. As a result of the comparison, it is shown that the prediction accuracy is higher when using the variables with statistical significance.

A Study of the Detecting Method about the Identification Card's Counterfeit, Modification and Illegal Use by Minors (미성년자의 신분증 위·변조 및 도용을 검출하기 위한 방법 연구)

  • Lee, Younggyo;Ahn, Jeonghee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.3
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    • pp.87-101
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    • 2018
  • Minors' law evasion is getting serious. Some of them make a fake ID card or use a stolen ID card illegally. They are illegally used for buying alcohol, cigarette, bond or going to club, pub, motel and so on. On the latest News, there was a case that teens rented a car with a driver licence without checking and had severe car accident. Like this case, car rental service was fined and suspended from business because they did not figure out ID card's counterfeit or modification. Thus, this study investigates the detecting method about the ID card(including a driver license) counterfeit, modification or illegal use. The server has a database of 17~19's minors one fingerprint and services whether the visitor is adult true or not. The method will be usable and economical for business. Then, it was compared and analyzed with methods already in use in business.

Causes of accidents and preventive measures due to defects in pump car booms (펌프카의 붐대 결함에 의한 사고원인과 방지대책)

  • Cho Choonhwan
    • Journal of the Korea Institute of Construction Safety
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    • v.6 no.1
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    • pp.7-11
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    • 2024
  • Pump car is an equipment that transports concrete products as needed to the place where they are poured. In order to pour a large amount of concrete in a short period of time, using a pump car is the most efficient in terms of economic efficiency and quality control. However, recently, many casualties have occurred due to boom damage during concrete pouring, so this study suggests that improvements are needed in the equipment manufacturing stage, inspection standards for old equipment, and equipment rental system. The reason is that, as a result of the finite element analysis of the pump car, the significant stress acting at the second stage of the boom and the maximum stress at the top of the boom were found to be 895.39 MPa, and M.S. Since it was evaluated the lowest at 0.04, the need for reinforcement was recognized. And it was confirmed that the 2nd stage boom was the most stressful and vulnerable part of the 1st to 5th stage booms. Therefore, it is necessary to increase the thickness and rigidity of members at the design and manufacturing stage, and to reinforce the steel plates of currently used equipment. In addition, it is urgent to establish a system that makes non-destructive testing mandatory for all general construction machinery and holds inspection agencies responsible for missing boom defects during non-destructive testing and regular inspections.