scholarly journals THE WORKER CHARACTERISTIC: THE DECISION TO COMMUTE OR NOT

2020 ◽  
Vol 3 (2) ◽  
pp. 12
Author(s):  
I Gusti Agung Ayu Karishma Maharani Raijaya ◽  
Chotib Chotib
Keyword(s):  
Metropolitan Area ◽  
Binary Logistic Regression ◽  
Individual Characteristics ◽  
Mobility Patterns ◽  
Binary Logistic Regression Model ◽  
Work Factors ◽  
The Social ◽  
Special Pattern ◽  
Training Courses ◽  
And Training

Indonesia has entered a third trend of three mega-demographics trends, namely the transition of migration to mobility. Most of the population do mobility due to work factors. Commuting is a type of non-permanent mobility where a person works in a different place from his residence. They leave the residence in the morning and returns in the afternoon or evening every day or back to residence no longer than 24 hours. Many problems will arise when the rate of mobility is high. Jabodetabek certainly have a special pattern in the mobility of its workers or maybe the year change can also change the mobility patterns in Jabodetabek. Therefore, this study will try to analyze and estimate the influence of the social and demographic characteristics of workers in the Jakarta metropolitan area on their decision to commute or not. If more commuter workers are less educated and do not have training certificates, this will have an impact on the burden of the Jabodetabek Metropolitan area. This study uses Sakernas 2018 data, using the Binary Logistic Regression model. The results of this study are the choose of mobility depend on individual characteristics such as education, sex, age, marital status, income, and training/courses.

scholarly journals Mobility Trends before and after the Pandemic Outbreak: Analyzing the Metropolitan Area of Barcelona through the Lens of Equality and Sustainability

2021 ◽  
Vol 13 (14) ◽  
pp. 7908
Author(s):  
Lucía Mejía-Dorantes ◽  
Lídia Montero ◽  
Jaume Barceló
Keyword(s):  
Metropolitan Area ◽  
Spatial Arrangement ◽  
Individual Characteristics ◽  
Sources Of Information ◽  
Mobility Patterns ◽  
Multiple Sources ◽  
Temporal Dimension ◽  
Population Groups ◽  
Highly Educated ◽  
Before And After

The spatial arrangement of a metropolis is of utmost importance to carry out daily activities, which are constrained by space and time. Accessibility is not only shaped by the spatial and temporal dimension, but it is also defined by individual characteristics, such as gender, impairments, or socioeconomic characteristics of the citizens living or commuting in this area. This study analyzes mobility trends and patterns in the metropolitan area of Barcelona before and after the COVID-19 pandemic outbreak, with special emphasis on gender and equality. The study draws on multiple sources of information; however, two main datasets are analyzed: two traditional travel surveys from the transport metropolitan area of Barcelona and two coming from smartphone data. The results show that gender plays a relevant role when analyzing mobility patterns, as already highlighted in other studies, but, after the pandemic outbreak, some population groups were more likely to change their mobility patterns, for example, highly educated population groups and those with higher income. This study also highlights that e-activities may shape new mobility patterns and living conditions for some population segments, but some activities cannot be replaced by IT technologies. For all these reasons, city and transport planning should foster sustainable development policies, which will provide the maximum benefit for society.

scholarly journals Bullying and Cyberbullying among Italian Adolescents: The Influence of Psychosocial Factors on Violent Behaviours

2021 ◽  
Vol 18 (4) ◽  
pp. 1558
Author(s):  
Antonio Tintori ◽  
Giulia Ciancimino ◽  
Giorgio Giovanelli ◽  
Loredana Cerbara
Keyword(s):  
Protective Factors ◽  
Binary Logistic Regression ◽  
Well Being ◽  
Risk And Protective Factors ◽  
Individual Characteristics ◽  
Bivariate Analysis ◽  
Binary Logistic Regression Model ◽  
Social Discomfort ◽  
Individual Variables ◽  
Statistical Sample

Background: The study of adolescents’ behaviours and attitudes is crucial to define interventions for the containment of deviance and social discomfort. New ways of social interaction are crystallising violent behaviours which are moving more than ever on a virtual sphere. Bullying and cyberbullying share a common behavioural matrix that has been outlined through specific environmental and individual characteristics. Methods: A survey carried out in Italy in 2019 on a statistical sample of 3273 students highlighted the influence of several social and individual variables on deviant phenomena. Risk and protective factors in relation to the probability of involvement in bullying and cyberbullying have been shown through a bivariate analysis and a binary logistic regression model. Results: The study shows that presence of stereotypes and social prejudices, tolerance to violence and high levels of self-esteem have resulted as the main risk factors. On the other hand, low levels of tolerance related to the consumption of alcohol and drugs, high levels of trust towards family and friends and being female have been identified as protective factors. Conclusions: This research confirms the validity of several theories on bullying and cyberbullying phenomena. Furthermore, it identifies specific risk and protective factors and their influence on deviant behaviours, with a focus on environmental characteristics which appear as the key field of work to enhance adolescents’ well-being.

scholarly journals Intensive agriculture, marketing and social structure: the case of south-eastern Spain

2018 ◽  
Vol 64 (No. 8) ◽  
pp. 367-377 ◽  
Author(s):  
Rafael Gonzalo Herranz De ◽  
Sebastián Fernandez-Prados Juan
Keyword(s):  
Decision Making ◽  
Social Structure ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
Decision Making Process ◽  
Binary Logistic Regression Model ◽  
Auction Houses ◽  
The Social ◽  
Decision Making Processes ◽  
Marketing Variables

The main purpose of this study was to analyse the opinions of farmers in the province of Almería concerning the state of the fruit and vegetable sector, to learn about the main considerations in their decision-making processes when marketing their products and their assessment of the image of companies and cooperatives and to analyse the social structure of this collective. To that end, the analysis was conducted on three levels: a descriptive analysis on two levels – a quantitative analysis of the socio-demographic, socio-economic and marketing characteristics of farmers in the province of Almería and a qualitative analysis based on the opinions of farmers and a group of experts in the sector; and an explanatory analysis, based on a binary logistic regression model, to show how decision-making occurs in the marketing dialectic, whether it either be at the source (auction) or the end-point (cooperative). The conclusion is that the marketing variables that are most tied to context – such as price, timeframe or certification – better explain the decision-making process of farmers in the province of Almería when marketing their products, both for cooperative members and for those who sell their products in alhóndigas (traditional auction houses).

scholarly journals Analisis Pemilihan Moda Angkutan Umum atau Pribadi Pekerja Mobilitas Non-Permanen di Sepuluh Wilayah Metropolitan Indonesia

2019 ◽  
Vol 3 (2) ◽  
pp. 142-156 ◽  
Author(s):  
Chotib Chotib
Keyword(s):  
Logistic Regression ◽  
Metropolitan Area ◽  
Public Transportation ◽  
Metropolitan Areas ◽  
Binary Logistic Regression ◽  
Individual Characteristics ◽  
Seasonal Migration ◽  
Place Of Residence ◽  
Metropolitan Regions ◽  
Destination Area

There are several types of non-permanent mobility which are generally related to location difference between places of residence and places of work. Non-permanent mobility consists of commuting, circular, and seasonal migration. Commuting is a type of non-permanent mobility where a person works in a different place from his residence, he/she leaves in the morning and returns in the afternoon or evening every day. Circular is a type of non-permanent mobility where a person lives in a workplace (which is different from his place of residence) for less than three months but more than one day. Whereas seasonal migrantion is a type of non-permanent mobility where the person lives in the workplace (destination area) between 3 and 6 months. This study aims to identify the probability of public transportation use by workers, both as movers and stayers, in ten metropolitan regions in Indonesia, namely Mebidang (Medan metropolitan area), Palapa (Padang metropolitan area), Patungraya Agung (Palembang metropolitan area), Jabodetabek (Greater Jakarta), Bandung Raya (Bandung metropolitan area), Kedungsepur (Semarang metropolitan area), Gerbangkertosusila (Surabaya metropolitan area), Sarbagita (Denpasar metropolitan area), Banjar Bakula (Banjarmasin metropolitan area), and Maminasata (Makassar metropolitan area). The results of the analysis with Binary Logistic Regression on the Sakernas 2017 data shows that the probability of using public transportation varies according to individual characteristics, patterns of mobility and varies over Metropolitan Areas.

scholarly journals Adoption of good agricultural practices by cattle farmers in the Binh Dinh Province of Vietnam

2020 ◽  
Vol 24 (4) ◽  
pp. 151-160
Author(s):  
Gia Hung Hoang
Keyword(s):  
Beef Cattle ◽  
Agricultural Practices ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Good Agricultural Practices ◽  
Ict Adoption ◽  
Ict Tools ◽  
Livestock Farmers ◽  
Large Farm ◽  
And Training

This study examined factors that affect the adoption of good agricultural practices (VietGAP) by Vietnamese beef cattle farmers. A random sample of 305 farmers was drawn from a total of 1279 farmers who produced and marketed beef cattle in the Binh Dinh province of Vietnam. Percentages, means, standard deviations, chi squares test, t-test and binary logistic regression model were employed to analyse the data. The study found that the young farmers with a higher education level, who had a large number of cattle, possessed a large farm, owned ICT tools for marketing, participated in credit and training programs, had a high income and communicated with extension officers, had a greater tendency to adopt VietGAP. Improving education, providing technical training and credit services, promoting the farmers’ use of ICT tools for marketing and developing agricultural extension services for livestock farmers is a way to facilitate the adoption of VietGAP by farmers. Keywords: beef cattle farmers, ICT, adoption, VietGAP, Binh Dinh Province

scholarly journals Predicting the Likelihood of Using Car-Sharing in the Greater Cairo Metropolitan Area

Urban Science ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 61 ◽  
Author(s):  
Abdelrahman Samaha ◽  
Hamid Mostofi
Keyword(s):  
Metropolitan Area ◽  
Stated Preference ◽  
Statistical Significance ◽  
Revealed Preference ◽  
Binary Logistic Regression ◽  
Current Mode ◽  
Access Time ◽  
Car Sharing ◽  
Binary Logistic Regression Model ◽  
Greater Cairo

This research investigates the influencing variables that affect the likelihood of choosing car-sharing if it launches in the Greater Cairo Metropolitan Area, Egypt. It adopts a binary logistic regression model to analyze the findings of an online stated preference survey. The results include 419 valid responses with different choice scenarios, which are based on the revealed preference of each respondent. The generated model shows statistical significance for age, car ownership, cost, and buffer time of the current mode of transport, travel time, and leisure trips. In addition, car-sharing experience, public transit, ride-hailing, walking, and biking also have significant effects. The highest-impact attributes are the car-sharing cost and access time, as the combination of setting the fare to 2 EGP per minute and limiting the access time of the shared vehicle to nearly 5 min achieved a likelihood of choosing car-sharing in nearly 77% of the responses.

scholarly journals Bystanders’ Views on the Use of Automated External Defibrillators for Out-of-Hospital Cardiac Arrest: Implications for Health Promotions

2021 ◽  
Vol 18 (3) ◽  
pp. 1241
Author(s):  
Susan Ka Yee Chow
Keyword(s):  
Online Survey ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Automated External Defibrillators ◽  
Health Promotions ◽  
The Social ◽  
Widespread Availability ◽  
Knowledge And Attitude ◽  
Cross Sectional Design

Despite the widespread availability of automated external defibrillators, not everyone is enthusiastic about using them. The aim of this study was to examine the reasons for not using an automated external defibrillator (AED) and predictors of the reasons. The study had a cross-sectional design using an online survey. Data were collected in eighteen districts in Hong Kong to be representative of the city. The questionnaire consisted of questions on demographics, knowledge and attitude towards AED use, reasons for not using AED, and whether the kind of victim could affect the decision of the bystanders. There was a high significant correlation between knowledge and attitude, with r = 0.782 and p < 0.001. Of the respondents, 53.3% agreed that the kind of victim would affect their willingness to operate an AED. A binary logistic regression model revealed that a higher education (OR 6.242, 95% CI: 1.827–21.331), concern about the kind of victim involved (OR 2.822, 95% CI: 1.316–6.052), and a younger age were significant predictors of worrying about taking on responsibility in using AED. Other than knowledge, other barriers included a desire to avoid legal liability, and the kind of victim they encountered. Life experiences in adulthood could possibly affect the social responsibility and influence the behaviors of adults to operate AEDs.

Clinical Update: Pain and Suffering

2003 ◽  
Vol 8 (1) ◽  
pp. 5-5
Author(s):  
Sheila Wendler
Keyword(s):  
Subjective Experience ◽  
Personal Injury ◽  
Treatment Interventions ◽  
Medical Expenses ◽  
Affective Component ◽  
Pain Behaviors ◽  
The Social ◽  
Patient’S Experience ◽  
Pain And Suffering ◽  
And Training

Abstract Attorneys use the term pain and suffering to indicate the subjective, intangible effects of an individual's injury, and plaintiffs may seek compensation for “pain and suffering” as part of a personal injury case although it is not usually an element of a workers’ compensation case. The AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), Fifth Edition, provides guidance for rating pain qualitatively or quantitatively in certain cases, but, because of the subjectivity and privateness of the patient's experience, the AMA Guides offers no quantitative approach to assessing “pain and suffering.” The AMA Guides also cautions that confounders of pain behaviors and perception of pain include beliefs, expectations, rewards, attention, and training. “Pain and suffering” is challenging for all parties to value, particularly in terms of financial damages, and using an individual's medical expenses as an indicator of “pain and suffering” simply encourages excessive diagnostic and treatment interventions. The affective component, ie, the uniqueness of this subjective experience, makes it difficult for others, including evaluators, to grasp its meaning. Experienced evaluators recognize that a myriad of factors play a role in the experience of suffering associated with pain, including its intensity and location, the individual's ability to conceptualize pain, the meaning ascribed to pain, the accompanying injury or illness, and the social understanding of suffering.

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

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