Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach

2022 ◽  
Vol 165 ◽  
pp. 106517
Author(s):  
Reuben Tamakloe ◽  
Subasish Das ◽  
Eric Nimako Aidoo ◽  
Dongjoo Park
Keyword(s):  
Data Mining ◽  
Signalized Intersections ◽  
Factors Affecting ◽  
Logit Regression ◽  
Regression Approach ◽  
Binary Logit ◽  
Binary Logit Regression

scholarly journals Meyveli Maden Suyu Tercihlerini Etkileyen Faktörlerin Logit Modeli ile Analizi: Beypazarı İlçesi Örneği

2014 ◽  
Vol 2 (2) ◽  
pp. 92
Author(s):  
Rüveyda Kızıloğlu ◽  
Halil Kızılaslan ◽  
Nuray Kızılaslan
Keyword(s):  
Water Consumption ◽  
Urban Areas ◽  
Food Industry ◽  
Mineral Water ◽  
Factors Affecting ◽  
Logit Regression ◽  
Binary Logit ◽  
Binary Logit Regression ◽  
Current Potential ◽  
Main Material

This study aimed to determine the factors affecting the consumption of fruit mineral water by households living in the urban areas in Beypazari. The main material of the study consisted of data collected through a questionnaire from 240 households. The study also aimed to reveal the features of the households and the preferences, tastes and thoughts of the households affecting the consumption. Binary Logit Regression method was employed to determine the factors affecting the fruit mineral water consumption. Seven variables affecting the likelihood of fruit mineral water consumption were identified based on the regression analysis employed. The companies in food industry are expected to increase the number of their consumers while they are determining their strategies to raise income rates or while they are increasing the current potential through studies aiming women and young people.

scholarly journals Factors Affecting Adoption of Recommended Management Practices in Stocker Cattle Production

2010 ◽  
Vol 42 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Rachel J. Johnson ◽  
Damona Doye ◽  
David L. Lalman ◽  
Derrell S. Peel ◽  
Kellie Curry Raper ◽  
...  
Keyword(s):  
Regression Models ◽  
Management Practices ◽  
Cattle Production ◽  
Factors Affecting ◽  
Logit Regression ◽  
Stocker Cattle ◽  
Binary Logit ◽  
Production Strategy ◽  
Binary Logit Regression ◽  
Recommended Management Practices

Binary logit regression models were used to estimate factors affecting adoption of recommended management practices. Variables analyzed include aspects of farm structure, human capital, farm objectives, and production system employed by the producer. Results reveal that operation size and dependency upon income from the stocker operation, in particular, influence the adoption of recommended practices. Older producers and those pursuing a year-round production strategy were found to lag in adoption.

scholarly journals Comparison of Crash Severity Risk Factors at Signalized and Stop-Controlled Intersections in Urban and Rural Areas in Alabama

2018 ◽  
Vol 7 (5) ◽  
pp. 50
Author(s):  
Sumalatha Kesavareddy ◽  
Kirolos Haleem ◽  
Mehrnaz Doustmohammadi ◽  
Michael Anderson
Keyword(s):  
Traffic Control ◽  
Rural Areas ◽  
Signalized Intersections ◽  
Crash Severity ◽  
Factors Affecting ◽  
Side Impacts ◽  
Binary Logit ◽  
Urban And Rural Areas ◽  
New Variables ◽  
Significant Factors

Understanding the factors that affect crash severity at intersections is essential to develop strategies to alleviate safety deficiencies. This paper identifies and compares the significant factors affecting crash severity at signalized and stop-controlled intersections in urban and rural areas in Alabama using recent five-year crashes. A random forest model was used to rank variable significance and a binary logit model was applied to identify the significant factors at both intersection types in urban and rural areas. Four separate models (urban signalized, urban stop-controlled, rural signalized, and rural stop-controlled) were developed. New variables that were not previously explored were used in this study, such as the roadway type (one-way vs. two-way) and traffic control functioning (yes or no). It was found that one-way roadways were associated with a reduction in crash severity at urban signalized intersections. In all four models, rear-end crashes showed lesser severity than side impacts. Head-on crashes, higher speed limits, and curved sections showed higher severity in urban signalized and stop-controlled intersections. In rural stop-controlled intersections, right-turning maneuvers had a severity reduction. Female drivers showed 15% and 45% higher severity likelihood (compared to males) at urban and rural signalized intersections, respectively. Strategies to alleviate crash severity are proposed.

scholarly journals The Influences of Health Insurance and Access to Information on Prostate Cancer Screening among Men in Dominican Republic

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Joseph Kangmennaang ◽  
Isaac Luginaah
Keyword(s):  
Prostate Cancer ◽  
Health Insurance ◽  
Cancer Screening ◽  
Dominican Republic ◽  
Prostate Cancer Screening ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Logit Regression ◽  
Binary Logit ◽  
Binary Logit Regression

Objectives.Although research demonstrates the public health burden of prostate cancer among men in the Caribbean, relatively little is known about the factors that underlie the low levels of testing for the disease among this population.Study Design.A cross-sectional study of prostate cancer testing behaviours among men aged 40–60 years in Dominican Republic using the Demographic and Health Survey (2013).Methods.We use hierarchical binary logit regression models and average treatment effects combined with propensity score matching to explore the determinants of prostate screening as well as the average effect of health insurance coverage on screening. The use of hierarchical binary logit regression enabled us to control for the effect of unobserved heterogeneity at the cluster level that may affect prostate cancer testing behaviours.Results.Screening varied significantly with health insurance coverage, knowledge of cholesterol level, education, and wealth. Insured men were more likely to test for prostate cancer (OR = 1.65,p=0.01) compared to the uninsured.Conclusions.The expansion and restructuring of Dominican Republic universal health insurance scheme to ensure equity in access may improve health access that would potentially impact positively on prostate cancer screening among men.

scholarly journals Community participation in the Kampung KB Program in Jambi Province

2021 ◽  
Vol 9 (4) ◽  
pp. 343-352
Author(s):  
Hardiani Hardiani ◽  
Dwi Hastuti ◽  
Hasriati Nasution
Keyword(s):  
Quality Of Life ◽  
Community Participation ◽  
Primary Data ◽  
Development Programs ◽  
Logit Regression ◽  
Study Results ◽  
Binary Logit ◽  
Logit Regression Model ◽  
Binary Logit Regression

Kampung Keluarga Berkualitas (Kampung KB) is one of the development programs to create quality families in Indonesia. Kampung KB is a village-level regional unit with integration and convergence in implementing empowerment and strengthening of family institutions in all its dimensions to improve the quality of human resources, families, and communities. The growth of Kampung KB in Jambi Province shows the high government's attention to this program to improve the quality of life of its people. However, the Kampung KB's success in improving the community's quality of life is largely determined by the level of community participation itself. This study analyzes the factors that influence community participation in the Kampung KB Program in Jambi Province. This study uses primary data obtained through target group respondents in Kampung KB in Jambi Province. Data were analyzed using descriptive statistics and a binary logit regression model. The study results found that the overall level of community participation in the Kampung KB Program was moderate. The level of community participation was significantly related to education, length of stay at the location, and distance from house to the place of activity.

scholarly journals Déterminants de l’accès aux crédits agricole par les producteurs d’anacarde au nord-Bénin

2021 ◽  
Vol 15 (4) ◽  
pp. 1605-1618
Author(s):  
Jean-Marie S. Awo ◽  
Nouroudine Ollabodé ◽  
Jacob A. Yabi
Keyword(s):  
Soil Protection ◽  
Agricultural Credit ◽  
Access To Credit ◽  
Agricultural Income ◽  
Logit Regression ◽  
Binary Logit ◽  
Socioeconomic Data ◽  
Logit Regression Model ◽  
And Training ◽  
Binary Logit Regression

Pour sécuriser les revenus agricoles des producteurs béninois, des mécanismes de financement sont mis en place dans la production d’anacarde. La présente étude identifie les déterminants de l’accès au financement par les producteurs d’anacarde. A cet elffet, des données socioéconomiques ont été collectées par enquête auprès de 160 producteurs de noix de cajou choisis aléatoirement dans deux communes du Nord-Bénin. La statistique descriptive a été utilisée pour caractériser les types de financement. Un modèle de régression Logit binaire a été estimé pour déterminer les variables influençant l’accès aux crédits par les producteurs d’anacarde. Les principaux résultats de cette étude indiquent trois types de financement sont obtenus par les producteurs d’anacarde et financés par divers acteurs. Le sexe, l'âge, l'appartenance à une organisation, les contacts avec les services de vulgarisation et la formation à la production d’anacarde déterminent l'accès au crédit agricole au nord du Bénin. Enfin, a promotion du financement agricole dans la zone d’étude permettra de réguler la capacité à introduire l’agroforesterie dans l’exploitation agricole dans le contexte d’amélioration des conditions de vie et la protection des sols.   English title: Determinants of access to agricultural credits by casnacard growers in north Benin In order to secure the agricultural income of producers in Benin, agricultural financing mechanisms have been put in place in cashew production. This study aimed at identifying the determinants of access to finance by cashew producers. To this end, socioeconomic data was collected through a survey of 160 cashew producers chosen at random from two municipalities in North Benin. Descriptive statistics were used to characterize the types of funding. A binary logit regression model was estimated to determine the variables influencing access to credit by cashew producers. The main results of this study indicate three types of financing obtained by cashew producers, which are financed by various actors. In addition, gender, age, membership of an organization, contacts with extension services and training in cashew production determine access to agricultural credit in northern Benin. Finally, the promotion of this financing in the study area will make it possible to regulate the capacity to introduce agroforestry on the farm, all of which contributes to the improvement of living conditions and soil protection.

scholarly journals Analysis of Fish Consumption Pattern among Kogi State University Students, Anyigba, Kogi State, Nigeria

2020 ◽  
pp. 43-55
Author(s):  
F. O. Oyibo ◽  
Y. E. Ajibade ◽  
O. E. Haruna ◽  
S. D. Samuel
Keyword(s):  
University Students ◽  
Fish Consumption ◽  
Health Benefit ◽  
Primary Data ◽  
Consumption Pattern ◽  
Efficient Production ◽  
State University ◽  
Logit Regression ◽  
Binary Logit ◽  
Binary Logit Regression

This study analyzed the pattern of fish consumption among Kogi State University students in Anyigba. It described the socio- economic characteristics of respondents, determine the effects of socio-economic characteristics on fish consumption, describe the types, forms, reasons for fish consumption and identify the constraints affecting fish consumption among the respondents. Multi-stage random sampling technique was used to select a sample size of 150 respondents. Well structured questionnaire coupled with interview scheduled were used to elicit primary data from the respondents. Descriptive statistics, binary logit regression and 3- point likert scale were used for data analyzing. The results showed that majority (60%) of the respondents were female, 72% were unmarried with an average household size of 3 persons and average income of N 20, 000 per month. Their sources of income were from parents and guardians. The result of the binary logit regression indicated that age (-1.21), income (0.99), price (-0.19), taste (0.65), health benefit (2.31) and price of substitute (0.68)  influenced the consumption of fish at 1%, 5% and 10% level of significant respectively. The types of fish consumed were majorly mackerel fish (45.33%), followed by tuna (27.34%). Iced fish were  mostly (40%) consumed, followed by 20.67% steamed fish and 7.33% were consumed in grilled form. 43.33% consumed  fish for health benefits, 24% consumed fish due to affordability and 14% consumed fish due to availability. Among the constraints facing fish consumption were allergy, proximity, storage and cost with mean score of 2.37, 2.16, 2.10, 2.36 and 2.38 respectively. Thus, fish and fish products were mostly consumed by the respondents with high consumption rate recorded by the female students. The prices of fish should be stabilized, adequate cold storage facilities should be purchased by the fish mongers and the university Fishery department should expand their ponds for efficient production.

scholarly journals THE STRATEGIC RATIONAL OF BANKING ACQUISITION IN EMERGING MARKET

2018 ◽  
Vol 2 (1) ◽  
pp. 13-21
Author(s):  
Suwinto Johan
Keyword(s):  
Emerging Market ◽  
Current Ratio ◽  
Asset Return ◽  
Return On Equity ◽  
Logit Regression ◽  
Binary Logit ◽  
Asset Turnover ◽  
Equity Ratio ◽  
Regulated Industries ◽  
Binary Logit Regression

The purpose of the research is to study the determinants of banks acquisitions in Indonesia over the period of 2004-2014. The banking industry is one of the fastest growing and well regulated industries during the last ten years. We analyzed seven financial ratios (current ratio, asset turnover, debt to equity ratio, return on asset, return on equity, earning before tax per revenue and earning after tax per revenue) determinants banks take over. This research used the binary Logit regression technique. The empirical results show that the determinants of bank targeted for all types of takeover are the current ratio. The higher current ratio, the higher possiblity be the target acquisitions. there is no significantof debt to equity ratio, asset turnonver, return on asset, return on equity, earning before tax per revenue and earning after tax per revenue as the determinants of the acquisition of banks in Indonesia.

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