scholarly journals Presentation of Analytical Methods for Better Decision Making about the Most Important Factor Influencing Rural Accidents

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Seyed Mohsen Hosseinian ◽  
Vahid Najafi Moghaddam Gilani ◽  
Hossein Tahmasbi Amoli ◽  
Mohammad Nikookar ◽  
Alireza Orouei
Keyword(s):  
Environmental Factor ◽  
Traffic Accidents ◽  
Surface Condition ◽  
Weather Condition ◽  
Rural Roads ◽  
Factors Affecting ◽  
Vehicle Accidents ◽  
Effective Factor ◽  
The People ◽  
Five Factors

Due to population growth and the increasing number of vehicles on rural roads, traffic accidents have become one of the most important problems in the transportation system, which greatly affects the social and economic situation of the people. The main purpose of this study was to apply the analytical method to investigate the factors affecting the severity of traffic accidents on rural roads of Guilan, Iran, in order to determine the most effective factor in the occurrence of these accidents. At first, the frequency analysis was used to evaluate the variables and their frequency, then the Friedman test (FT) was applied to prioritize the factors, and the exploratory factor analysis (EFA) was used to determine the most effective factor in the occurrence of vehicle accidents in Guilan rural roads. Based on the FT, weather condition was the most important factor effective in these accidents. According to the results of the EFA, five factors were identified as the main factors involved in accidents in which the first factor contributing to accidents was the environmental factor, including weather condition and road surface condition. This indicates that concurrent result of the FT and the EFA, weather condition as an environmental factor, was identified as the most important factor affecting vehicle accidents on rural roads of Guilan. Finally, safety strategies were proposed to increase safety and reduce accidents along these roads.

scholarly journals A study on the Barriers in Accessibility for the Disabled at Bus Terminal

2019 ◽  
Vol 136 ◽  
pp. 04084
Author(s):  
Lee Yin Mun ◽  
Wai Kun Xin ◽  
Salini Devi Rajendran
Keyword(s):  
Quantitative Research ◽  
Structural Barriers ◽  
Disabled People ◽  
Factors Affecting ◽  
The People ◽  
Five Factors ◽  
Level Of Satisfaction ◽  
The Disabled ◽  
Spss Software ◽  
The Relationship

Transportation is a highly significant issue for the people with disabilities. The lack of accessibility in bus terminal has led to drawbacks and restricts many of the disabled from moving around without any restriction. The purpose of this research is to identify the barriers of accessibility for the disabled in bus terminals in Malaysia. The main objective of this work was to analyze the level of satisfaction of disabled toward the accessibility in bus terminal and identify the barriers of accessibility for disabled in bus terminal. This study is only focusing on the structural barriers. There are five factors affecting the structural barriers which are infrastructure, pedestrian environment, vehicle design, planning and information. The relationship between these variables and accessibility of disabled people in bus terminal was studied. This work was carried out based on quantitative research method. Questionnaire was used for data collection and data analysis was done using SPSS software in terms of inferential analysis. The key findings of this work showed that all variable has a significant relationship with accessibility of disabled people in bus terminal.

scholarly journals Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China

2019 ◽  
Vol 16 (9) ◽  
pp. 1542 ◽  
Author(s):  
Xinhua Mao ◽  
Changwei Yuan ◽  
Jiahua Gan ◽  
Shiqing Zhang
Keyword(s):  
Risk Factors ◽  
Traffic Accidents ◽  
Multinomial Logistic Regression ◽  
Weather Condition ◽  
Weather Conditions ◽  
Traffic Density ◽  
Vehicle Speed ◽  
Factors Affecting ◽  
Traffic Characteristics ◽  
Rainy Weather

As a critical configuration of interchanges, the weaving section is inclined to be involved in more traffic accidents, which may bring about severe casualties. To identify the factors associated with traffic accidents at the weaving section, we employed the multinomial logistic regression approach to identify the correlation between six categories of risk factors (drivers’ attributes, weather conditions, traffic characteristics, driving behavior, vehicle types and temporal-spatial distribution) and four types of traffic accidents (rear-end, side wipe, collision with fixtures and rollover) based on 768 accident samples of an observed weaving section from 2016 to 2018. The modeling results show that drivers’ gender and age, weather condition, traffic density, weaving ratio, vehicle speed, lane change behavior, private cars, season, time period, day of week and accident location are important factors affecting traffic accidents at the weaving section, but they have different contributions to the four traffic accident types. The results also show that traffic density of ≥31 vehicle/100 m has the highest risk of causing rear-end accidents, weaving ration of ≥41% has the highest possibility to bring about a side wipe incident, collision with fixtures is the most likely to happen in snowy weather, and rollover is the most likely incident to occur in rainy weather.

PARTICIPATING IN HEALTH INSURANCE AND FACTORS AFFECTING AMONG PERSONS WHOSE ENROLMENT IS VOLUNTARY IN THUA THIEN HUE PROVINCE

2015 ◽  
pp. 89-95
Author(s):  
Thi Hoai Thuong Nguyen ◽  
Hoang Lan Nguyen ◽  
Mau Duyen Nguyen
Keyword(s):  
Health Insurance ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Health Insurance Scheme ◽  
Insurance Scheme ◽  
Cross Sectional ◽  
Factors Affecting ◽  
The People ◽  
Universal Health Insurance Coverage ◽  
The Social

Background:To provide information helps building policy that meets the practical situation and needs of the people with the aim at achieving the goal of universal health insurance coverage, we conducted this study with two objectives (1) To determine the rate of participating health insurance among persons whose enrolment is voluntary in some districts of ThuaThien Hue province; (2) To investigate factor affecting their participation in health insurance. Materials and Methodology:A cross-sectional descriptive study was conducted in three districts / towns / city of ThuaThien Hue in 2014. 480 subjects in the voluntary participation group who were randomly selected from the study settings were directly interviewed to collect information on the social, economic, health insurance participation and knowledge of health insurance. Test χ2 was used to identify factors related to the participation in health insurance of the study subjects. Results:42.5% of respondents were covered by health insurance scheme. Factors related to their participation were the resident location (p = 0.042); gender (p = 0.004), age (p <0.001), chronic disease (p <0.001), economic conditions (p<0.001) and knowledge about health insurance (p <0.001). Conclusion: The rate of participating health insurance among study subjects was low at 42,5%. There was "adverse selection" in health insurance scheme among voluntary participating persons. Providing knowledge about health insurance should be one of solutions to improve effectively these problems. Key words: Health insurance, voluntary, Thua Thien Hue

THE PROFILE OF A LEADER AND HIS LEDERSHIP

2018 ◽  
Vol 28 (1) ◽  
pp. 345-350
Author(s):  
Ali Hajro
Keyword(s):  
Leadership Skills ◽  
Real Power ◽  
Governmental Organization ◽  
Factors Affecting ◽  
The Real ◽  
The Core ◽  
Behavior Code ◽  
The People ◽  
Study Case ◽  
Personal Skills

The Current and future leaders live in a turbulent and chaotic environment, where the real power of acting derives from the recognition of the concept of change and looking for options. In this type of environment a lot of competence is necessary for the leaders to survive. The aim of this study case was to explore i.e. gain a clearer picture of the position of the leader, their characteristics, functions, levels, the core and the factors affecting the leader and their leadership. To see what type of leader the people want simply to draw conclusions about the characteristics, qualities and techniques of a leader and their leadership. So that in the end, to have empirical proof of the leader. The set goal in this study case is today’s leaders in everyday process, starting from the very beginning of their work, to serve as an example in developing inter-personal skills at the same time as treating people with dignity and respect. In other words, they have to possess leadership skills, characteristics and the necessary actions. This research aims at finding out the real attributes that is the profile of a leader and their leadership running an organization regardless if it is economic, political, and military or some other non-governmental organization. The values are more than a set of rules, they are not only behavior code, and they say what a leader should be every day in every action that they take. The values shade the leaders’ identity and the organization that they run.

Analysis of Driver's Characteristics Based on Internet of Vehicles

2014 ◽  
Vol 505-506 ◽  
pp. 1148-1152
Author(s):  
Jian Qun Wang ◽  
Xiao Qing Xue ◽  
Ning Cao
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Classification Model ◽  
Economic Losses ◽  
Lane Changing ◽  
Internet Of Vehicles ◽  
Factors Affecting ◽  
The Road ◽  
The University ◽  
Driver’S Characteristics

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

The Nature and Origin of Common Phobic Fears

1979 ◽  
Vol 134 (4) ◽  
pp. 343-351 ◽  
Author(s):  
Svenn Torgersen
Keyword(s):  
Environmental Factors ◽  
Social Adjustment ◽  
Twin Study ◽  
Genetic Factors ◽  
Factor Analyses ◽  
Factors Affecting ◽  
Five Factors

SummaryBy means of a twin study an attempt was made to throw light upon the aetiology and nosology of phobic fears. Factor analyses revealed five factors, namely separation fears, animal fears, mutilation fears, social fears and nature fears. The study demonstrated that, apart from separation fears, genetic factors play a part in the strength as well as content of phobic fears. Environmental factors, affecting the development of dependence, reserve and neurotic traits generally, seemed also to be of some importance. It was further demonstrated that phobic fears were related to emotional and social adjustment and this was true to an even greater extent for separation fears.

scholarly journals The Effects of Picking Up Primary School Pupils on Surrounding Street’s Traffic: A Case Study in Hanoi

2020 ◽  
Vol 14 (1) ◽  
pp. 237-250
Author(s):  
Dinh Hiep ◽  
Vu V. Huy ◽  
Teppei Kato ◽  
Aya Kojima ◽  
Hisashi Kubota
Keyword(s):  
Primary School ◽  
Traffic Safety ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Primary Schools ◽  
Traffic Accidents ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Almost All

Introduction: One of the significant characteristics of schools in Vietnam is that almost all parents send their children to school and/or pick up their children from school using private vehicles (motorcycles). The parents usually stop and park their vehicle on streets outside the school gates, which can lead to serious congestion and increases the likelihood of traffic accidents. Methods: The objective of this study is to find out factors affecting the picking up of pupils at primary school by evaluating the typical primary schools in Hanoi city. A binary logistic regression model was used to determine factors that influence the decision of picking up pupils and the waiting duration of parents. The behavior of motorcyclists during the process of picking up pupils at the primary school gate has been identified and analyzed in detail by the Kinovea software. Results and Discussion: The study showed that, on the way back home, almost all parents use motorbikes (89.15%) to pick up their children. During their waiting time (8.48 minutes in average), they made a lot of illegal parking actions on the street there by, causing a lot of “cognitive” errors and “crash” points surrounding in front of the primary school entrance gate. Risky picking-up behaviors were significantly observed, i.e. picking-up on opposite side of the school, making a U-turn, backing-up dangerously, parking on the middle of street, and parking on the street next to sidewalk). Conclusion: Based on the analyzed results, several traffic management measures have been suggested to enhance traffic safety and reduce traffic congestion in front of school gates. In addition, the results of the study will provide a useful reference for policymakers and authorities.

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