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.

scholarly journals Usaha Ternak Domba sebagai Jalur Keluar dari Kemiskinan Buruh Tani di Perdesaan

2020 ◽  
Vol 7 (3) ◽  
pp. 189
Author(s):  
Sondi Kuswaryan ◽  
Cecep Firmansyah ◽  
Muhammad Hasan Hadiana
Keyword(s):  
Regression Model ◽  
Poverty Alleviation ◽  
Binary Logistic Regression ◽  
Farm Labor ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Poor Households ◽  
Simple Regression Model ◽  
Poverty Status ◽  
Household Members

ABSTRAKPenelitian ini bertujuan untuk mengevaluasi kemungkinan usaha ternak domba sebagai aktivitas nafkah untuk pengentasan kemiskinan, serta menentukan jumlah kepemilikan domba yang dapat  membawa rumah tangga buruh tani keluar dari kemiskinan. Survey telah dilakukan di Desa Walangsari Kecamatan Kalapanunggal Kabupaten Sukabumi, melibatkan rumah tangga buruh tani miskin sebanyak 65 orang dan 22 orang tidak miskin. Faktor yang berpengaruh terhadap kemiskinan dianalisis menggunakan model regresi logistik biner, sedangkan jumlah kepemilikan domba yang harus dipelihara untuk keluar dari kemiskinan ditentukan dengan model regresi sederhana. Hasil penelitian menunjukkan bahwa usia kepala keluarga, dan pengalaman beternak tidak mempengaruhi kemiskinan, sedangkan jumlah kepemilikan domba, jumlah anggota rumah tangga, keterlibatan dalam kelembagaan, serta sumber pendapatan dari non pertanian mempengaruhi status kemiskinan rumah tangga buruh tani. Pada rata-rata jumlah anggota rumah tangga sebanyak 4,45 orang,untuk keluar dari kemiskinan buruh tani harus memelihara minimal sebanyak 36,63 ekor domba per rumah tangga. Hasil penelitian ini menegaskan bahwa usaha ternak domba dapat digunakan sebagai sarana untuk pengentasan kemiskinan buruh tani, program pengentasan kemiskinan akan efektif bila melibatkan kelembagaan lokal.Kata Kunci: buruh tani, jumlah kepemilikan domba, kemiskinanABSTRACTThis study aims to determine the possibility of sheep farming as a livelihood activity for poverty alleviation and to determine the amount of sheep ownership that can bring farm laborers households out of poverty. Survey research has been carried out in Walangsari Village, Kalapanunggal District, Sukabumi Regency, involving 65 poor farmer households and 22 non-poor households. Factors affecting poverty were analyzed using a binary logistic regression model, while the number of sheep ownership needed to escape poverty was determined by a simple regression model. The results showed that the age of the head of the family, and experience of sheep farmers did not affect poverty, while the number of sheep ownership, number of household members, involvement in institutions, and sources of income from non-agriculture affected the poverty status of farm laborers' households. In the average number of household members as many as 4.45 people, to get out of poverty must maintain a minimum of 36.63 sheep per household. This research explains that sheep farming can be used as a means to reduce the poverty of farm laborers, and poverty alleviation programs will be effective if they involve local institutions.Keywords: farm labor, number of sheep ownership, poverty

scholarly journals Human factor and traffic safety

2017 ◽  
Vol 18 (7-8) ◽  
pp. 49-52
Author(s):  
Ewa Brożyna
Keyword(s):  
Traffic Safety ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Human Person ◽  
Road Transport ◽  
Transport Infrastructure ◽  
Road User ◽  
Road Design

This article deals with issues in the field of traffic engineering. According to its assumptions, traffic is a system consisting of three inseparable elements which are man, vehicle and road. In this article, the author focuses on the relationship between two of these elements: human as a road user and a path that should be a subordinate of the user’s capabilities and convenience. The first part of the article is an introduction to the topic of the article. There are presented the data on the amount of road traffic accidents caused by human factors and the categories of errors committed by drivers. In the further part there were analyzed the biological factors which have influence on driver’s actions such as sight, attention and reaction time with particular emphasis on the imperfections of those factors which should be taken into account when designing roads and organizing traffic because it lets to provide a higher level of road safety. The purpose of this article is to develop practical conclusions for road design and traffic management that will help to better adjust the road transport infrastructure to the capabilities and natural limitations of the human person. These conclusions are included in the summary.

scholarly journals Dietary patterns of primary school pupils according to their sex

2019 ◽  
Vol 65 (3) ◽  
Author(s):  
Anna Dolipska ◽  
Aleksandra Góra ◽  
Karolina Janion ◽  
Elżbieta Szczepańska
Keyword(s):  
Primary School ◽  
Dietary Patterns ◽  
Fast Food ◽  
Primary Schools ◽  
Fruits And Vegetables ◽  
Dietary Habits ◽  
Good Health ◽  
Factors Affecting ◽  
Daily Diet ◽  
Primary School Pupils

Introduction: Nutrition is one of the most important environmental factors affecting human health. The frequency, as well as the quality and quantity of consumed foods are significant. Regular and rational dietary habits and correct meal composition ensure good health and fitness, whereas poor dietary habits in childhood account for an early risk of overweightness and obesity. The aim of this study was to evaluate the dietary patterns of girls and boys attending primary schools in Poland, and to identify any associations between the pupils’ dietary patterns and their sex. Materials and methods: The study was carried out in spring 2017. It covered a total of 1138 primary school pupils. A proprietary questionnaire specially designed for the study was used to investigate the pupils’ dietary patterns. The findings were then analysed with the use of MS Excel 2010 and Statistica 12.0 software.Results: According to the survey, 67.36% of the female respondents and 55.4% of the male respondents ate the recommended number of meals each day. Among the respondents 72% of the girls and 73.27% of the boys reported eating breakfast daily. Fruits and vegetables were eaten several times per day by 60.38% and 43.11% of girls, respectively, v. 50.44% and 32.39% of boys, respectively. The frequency of milk and natural yoghurt consumption was adequate in 20.07% and 10.12% of girls, respectively, v. 20% and 11.5% of boys. Sweets and salty snacks were excluded from the diet of 2.97% and 2.27% of girls, respectively, v. 3.19% and 2.12% of boys, respectively. Sweetened carbonated drinks were consumed by 11.17% of girls and 6.55% of boys. Fast food and instant foods were eliminated from the daily diet of 7.16% and 45.03% of girls, respectively, v. 6.02% and 43.19% of boys, respectively.Conclusions: Some incorrect dietary habits were identified both in girls and boys, however girls generally reported more beneficial habits. Statistically significant associations were found between the majority of dietary patterns in the studied population and the respondents’ sex. The results of the study indicate a need for more intense nutritional education among primary school pupils, diversified for boys and girls.

scholarly journals Factors Affecting Technology Integration in EFL Classrooms: The Case of Kuwaiti Government Primary Schools

2020 ◽  
Vol 9 (4) ◽  
pp. 10
Author(s):  
Maha Bader Alghasab ◽  
Anaam Alfadley ◽  
Amel M. Aladwani
Keyword(s):  
Primary School ◽  
Language Learning ◽  
Parental Support ◽  
Primary Schools ◽  
Computer Assisted ◽  
Structured Interviews ◽  
Factors Affecting ◽  
Use Of Technology ◽  
Positive Attitudes ◽  
Efl Teachers

Previous Computer Assisted Language Learning (CALL) research has shown that technology is beneficial for promoting language learning, but some teachers neither use technology as an assisted tool nor integrate it into their language classrooms. It has also been argued that the integration of technology has been unsuccessful in Kuwait. This study aims to explore the factors influencing teachers’ use of technology in English as a foreign language (EFL) classroom in Kuwaiti government primary schools. More specifically, it aims to highlight factors promoting and hindering EFL teachers’ use of technology. For the purpose of this study, 55 questionnaire responses were collected from different primary school teachers in Kuwait, followed up with 15 semi-structured interviews. The study findings show that Kuwaiti primary school EFL teachers who participated in the current study demonstrated positive attitudes towards using technology and acknowledged the implementation of some cutting-edge technologies in their classrooms. Enhancing students’ language learning, innovation and school support were the main factors that encouraged the participating teachers to use technology. Other factors hindered the use of technology; particularly those related to lack of parental support, personal expenses and health problems, teachers’ lack of skills and training, poor classroom infrastructure, and time constraints/workload. The findings also reveal that the lack of professional development training workshops provided by the Ministry of Education led the Kuwaiti teachers to rely more on informal training in which they worked and learnt together with their colleagues in small sub-groups to improve their use of technology. The study findings have implications for policymakers and other stakeholders intending to integrate technology in Kuwaiti primary schools.

scholarly journals Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents

2018 ◽  
Vol 14 (4) ◽  
pp. 10-21
Author(s):  
Ahmet Tortum ◽  
Alireza Motamadnia
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Motor Vehicle ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Road Surface ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Surface Conditions

Abstract The nature of urban and rural accidents has been different from each other in some of the factors and even the severity of damage rate, mayhem, and death. In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age, gender, education level, the color of the pedestrian dress, season of accident, time of accident, the speed of the vehicle colliding with pedestrians and road surface conditions at the time of accident on the way of death (at the scene of the incident or in the hospital) pedestrians who have been traumatized. After the creation of the binary logistic regression model, it was determined that only the parameters of speed and the accident time have been significant in the level less than 5%. And other parameters such as age, gender, the season of accident occurrence, the color of the pedestrian dress, road surface conditions and education level had no significant effect in terms of statistical on the incidence of mortality arising from a pedestrian accident with the motor vehicle. The results revealed that by adopting decisions related to the traffic calming, attention to passages lighting and brightness the mortality rate of a pedestrian due to the urban accidents can be reduced.

scholarly journals Driver behaviour and traffic accident involvement among professional heavy semi-trailer truck drivers in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260217
Author(s):  
Wanli Han ◽  
Jianyou Zhao ◽  
Ying Chang
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Principal Component ◽  
Binary Logistic Regression ◽  
Driving Behavior ◽  
Truck Drivers ◽  
Driver Behaviour ◽  
Professional Drivers ◽  
Accident Prediction ◽  
Driving Time

The purpose of this study was to develop a driving behavior scale for professional drivers of heavy semi-trailer trucks in China, and study the causes of such driving behavior and its impact on traffic safety operation. Data was processed by IBM SPSS 25. In addition to principal component analysis, Promax rotation, Bartlett’s test, Cronbach’s alpha, correlation analysis and binary logistic regression were examined. A DBQ with 4 dimensions and 20 items, and a PDBQ with 1 dimension and 6 items were developed for professional drivers of heavy semi-trailer trucks in China. The KMO coefficients of PDBQ and DBQ were 0.822 and 0.852, respectively, and the significant level of Bartlett’s popularity test was p < 0.0001. The accident prediction model showed that the variables related to traffic accidents were negligence/lapses and driving time of heavy semi-trailer truck drivers. 1–5 a.m. was found to be the most dangerous period for drivers of medium and heavy semi-trailer trucks, during which accidents were most likely to happen. As negligence/lapses increased by one unit, the probability of traffic accidents increased by 2.293 times.

scholarly journals Portable Telematic System as an Effective Traffic Flow Management in Workzones

2015 ◽  
Vol 16 (2) ◽  
pp. 99-106 ◽  
Author(s):  
Marek Ščerba ◽  
Tomáš Apeltauer ◽  
Jiří Apeltauer
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Traffic Control ◽  
Traffic Management ◽  
Traffic Accidents ◽  
Intelligent System ◽  
Economic Losses ◽  
Road Users ◽  
Traffic Flow Management ◽  
Negative Impacts

Abstract Traffic infrastructure localities with temporal restrictions for example due to reconstructions, or modernization, are important aspects influencing the traffic safety and traffic flow. On the basis of our research, we can identify main factors, which generate travel time loses, and which often cause traffic accidents in bottlenecks. First of all, it is improper late merge, speeding, tailgating, lower tolerance and consideration to other road users. Nervousness and ignorance of drivers also play an important role in generation of traffic congestions, lower level of service and resulting external economic loses. One of the tools eliminating the traffic restriction negative impacts is usage of portable telematics systems. In 2011 to 2013,project ViaZONE was in progress, which was to design an intelligent system with the aim to eliminate the mentioned risks and reduce economic losses generated by traffic congestions. Using available data and information, we have proved profitability and cost-effectiveness of dynamic systems for traffic control of work zones. Regarding traffic management, the system showed some problems due to indisciplined drivers and the system proved that speeding in these hazardous road segments is a common practice which caused accidents and congestions.

Drivers’ Saccade Characteristics in Curves of Extra-Long Urban Underwater Tunnels

2020 ◽  
Vol 2674 (2) ◽  
pp. 102-111
Author(s):  
Fangtong Jiao ◽  
Zhigang Du ◽  
Shoushuo Wang ◽  
Yudan Ni ◽  
Rui He
Keyword(s):  
Traffic Safety ◽  
Coefficient Of Variation ◽  
Traffic Congestion ◽  
Traffic Accidents ◽  
Small Radius ◽  
Time Ratio ◽  
Real Vehicle

Traffic accidents in extra-long urban underwater tunnels are characterized by high numbers of causalities and severe traffic congestion. Analyzing drivers’ saccade characteristics under different curvature conditions in urban underwater tunnels can provide solutions to reduce the rates of such accidents and increase traffic safety. This paper reports real vehicle tests conducted in extra-long urban underwater tunnels, on curved sections of radii of 400, 680, 1,000, 1,500, and 3,000 m, and also on straight sections. Indicators of drivers’ saccade behavior, such as saccade angle, time, and frequency, and the saccade time ratio were evaluated. The coefficient of variation was used to analyze the discreteness of the saccade angle. The driver’s saccade characteristics, such as saccade time and frequency, were explored by combining the visual distances for different curved sections. The results demonstrated that (a) small angles in the range of [0, 10°] constituted the main distribution section of the driver’s saccade angle in extra-long urban underwater tunnels, and the saccade angle discreteness increased with increase in the radius, (b) the driver’s average saccade time increased while the average saccade frequency decreased with the increase of the radius, (c) the driver’s visual load was higher for long straight sections and small-radius curves, (d) the driver’s safety was generally higher on right-curving sections than on left-curving sections.

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