Model of the strategy for reducing the road accident rate in the city

Borovik, Vitaly; Borovik, Vitaliy V.; Skorobogatchenko, Dmitriy Anatolevich

doi:10.1016/j.trpro.2018.12.045

Cited by 10 publications

(3 citation statements)

References 5 publications

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“…Farmers should be aware of the importance of their own behaviors and the impact of their produce on the physical and mental health of consumers and actively respond to the government's policies and calls. Regarding the rules and regulations formulated by cooperatives, farmers should actively cooperate, carry out green production according to standards, provide high-quality agricultural products, actively participate in technical training organized by cooperatives, enhance their awareness of green production, reduce their dependence on traditional pesticides ( 41 ), effectively prevent the production of inferior agricultural products and the impact of inferior agricultural products on people's health and fundamentally solve the quality and safety problems of agricultural products.…”

Section: Discussionmentioning

confidence: 99%

Behavioral decision-making of the government, farmer-specialized cooperatives, and farmers regarding the quality and safety of agricultural products

Teng

Pang

Wei

et al. 2022

Front. Public Health

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The quality and safety of agricultural products is very important for farmers' professional cooperatives. This study incorporates the government, farmers' professional cooperatives and farmers into the evolutionary game model to explore the game relationship and evolutionary path of decision-making among the three parties related to the quality and safety of agricultural products. Through the dynamic analysis of decision-making replication, the analysis of strategy evolution stability and the verification of numerical simulation experiments, it is shown that the decision-making behavior of the government, farmers' professional cooperatives and farmers under the conditions of agricultural product quality and safety is the result of the game between three stakeholders; the government, farmers' professional cooperatives and farmers The evolution process of the decision-making behavior to the ideal state is affected by many factors, and the value ranges of different factors have different effects on the convergence speed of the three stakeholders to the ideal state; when certain conditions are met, the government, farmers' professional cooperatives and farmers' three The decision-making behavior of each stakeholder can evolve into an ideal state, and effective government supervision can promote the cooperatives to manage the green production of farmers, and then effectively encourage farmers to take the initiative in green production. In order to provide useful suggestions for the government to make safety supervision decisions, to effectively manage cooperatives, and to stimulate active green production behaviors by farmers.

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Section: Discussionmentioning

confidence: 99%

Behavioral decision-making of the government, farmer-specialized cooperatives, and farmers regarding the quality and safety of agricultural products

Teng

Pang

Wei

et al. 2022

Front. Public Health

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show abstract

“…However, in mixed traffic, drivers may experience a vulnerable psychological state. This could affect their driving psychology and behavior, thereby causing traffic problems [37]. This kind of anxiety, panic and psychological fatigue caused by driverless vehicles sharing the road, which the driver feels additionally, and considers himself in a vulnerability state under such complex road conditions, is called the driver's psychological vulnerability judgment in this paper.…”

Section: Research Hypothesismentioning

confidence: 99%

Factors Influencing Driver’s Psychological Vulnerability Judgment When Sharing the Road With Driverless Vehicles

WANG

ZHAO

2023

IEEE Access

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To judge whether drivers of manned vehicles sharing the road with driverless vehicles think they are in a vulnerable state and find out what makes drivers feel they will be in a state we called "driver's psychological vulnerability judgment", this paper conducted a questionnaire to collect information about the attitude, perceived usefulness, trust, perceived risk, and demographic information of drivers in a hypothetical situation involving driving on the same road as driverless vehicles. Our goal was to identify areas where the drivers felt that they would be in a "vulnerable psychological state", i.e., that they would be more vulnerable to making poor psychological judgments. A total of 945 valid questionnaires were collected through Credamo questionnaire survey platform. The survey results indicated that 43.7 % of the respondents believed that they would be in a vulnerable state in mixed traffic competition, 30.2 % of the respondents did not know whether they would be in a vulnerable state. Further, women, people with a higher education, people with a more aggressive driving personality, older people, and those with more driving experience were more inclined to think that they would not be in a vulnerable state. Attitude, trust, and perceived usefulness all had positive impacts on driver's psychological vulnerability judgment, and perceived risk had a negative impact. Therefore, the early promotion of driverless technology should give priority to people with a higher education, more driving experience, older age, and more aggressive driving personality, and focus on attitudes towards this technology, and perceived usefulness, trust, perceived risk.

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“…secara berkala, penerapan pemeliharaan jalan yang baik merupakan salah satu strategi dalam pencegahan kecelakaan lalu lintas (Borovik et al 2018).…”

Section: Identifikasi Perbaikan Programunclassified

Evaluasi Program Pencegahan Kecelakaan Kendaraan Di Pt Freeport Indonesia

Supratikno¹,

Syarief²,

Indrawan³

2021

jabm

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PT Freeport Indonesia (PT FI) applies strict rule to prevent vehicle accident. In fact, the number of vehicle accident is recorded highly enough. The objectives of the research are to (1) identify the most influential factor to the number of light vehicle accident; (2) formulate the right planning to reduce the number of light vehicle accident; (3) provide recommendation to PT FI management to reduce the number of light vehicle accident at PT FI. The research applies used primary and secondary data resource. Secondary data taken from report data of vehicle accident is grouped using Contributory Factor Interaction Model (CFIM) to identify the causing factor of the accidents cause. Afterwards, identification of program improvement planning is conducted using Analytical Hierarchy Process (AHP). The result of the research conveys that the most influential factor of light vehicle accident at PT FI is unsafe behavior of the driver. The right planning to reduce the number of light vehicle accident at PT FI, it is suggested to is conduct the human resources planning by providing training to improve soft skill and hard skill of the driver. Based on this influential factor and the AHP result, the right planning as a recommendation to PT FI Management to reduce the number of light vehicle accident is by applying short-and long-term human resources planning.

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Model of the strategy for reducing the road accident rate in the city

Cited by 10 publications

References 5 publications

Behavioral decision-making of the government, farmer-specialized cooperatives, and farmers regarding the quality and safety of agricultural products

Behavioral decision-making of the government, farmer-specialized cooperatives, and farmers regarding the quality and safety of agricultural products

Factors Influencing Driver’s Psychological Vulnerability Judgment When Sharing the Road With Driverless Vehicles

Evaluasi Program Pencegahan Kecelakaan Kendaraan Di Pt Freeport Indonesia

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