Volume 3 - 2021

Permanent URI for this communityhttp://repository.kln.ac.lk/handle/123456789/25948

Browse

Search Results

Now showing 1 - 5 of 5
  • Item
    Factors associated with Fatal Motorcycle Accidents (MAs) in Sri Lanka
    (Department of Social Statistics, Faculty of Social Sciences, University of Kelaniya Sri Lanka, 2021) Hapuarachchi, Dimani
    Motorcycle accidents (MAs) account for nearly 40% of road traffic accidents (RTA) reported annually in Sri Lanka. The main objective of this research was to identify the risk factors associated with MAs in Sri Lanka. The binary logistic regression analysis is used in this study to predict the relative likelihood of fatal Mas happening against the non-fatal MAs, to determine the risk factors associated with RTAs in Sri Lanka by considering the secondary data from 2013 – 2019. Weekday, dry road surface, clear weather, daylight, a night with improper street lighting, roundabout, road with no junction, age of driver being 40-59, age of the driver being 18-39, age of the driver being less than 18, having no valid license, male, typical working day, typical weekday, and rural area were the variables identified from the binary logistics regression model. These proved to have a significant positive influence on the odd ratio of fatal motorcycle accident occurrences. In order to reduce the number of accidents the severity of injuries, by utilizing signalization, building bridges for pedestrians, establishing pavement tunnels to minimize exposure to moving vehicles are prominently recommended.
  • Item
    Customer’s Perspectives on Internet Banking based on E-S-Qual Model
    (Department of Social Statistics, Faculty of Social Sciences, University of Kelaniya Sri Lanka, 2021) Gunarathna, Manjula
    In Sri Lanka, the credit growth the banking system improved in 2020 compared to 2019 regardless of the adverse economic effects caused by the ongoing pandemic and nationwide and district-wide lock-down periods. A significant increase was noticed in the usage of internet banking as people were considerably confined to their homes. Consequently, this study focuses on recognizing the view of customers on internet banking based on the E-S-Qual model. This model was established to measure the quality of e-service. Both exploratory and confirmatory factors analyses are classified into three independent factors namely, (i) System availability & fulfilment (ii) Efficiency and (iii) Privacy as common factors of internet banking. Respondents between the ages of 20 to 30 have shown positive perceptions on these three internet banking factors according to the cross-tabulation results. It was also revealed that the female respondents show a higher positive perception (76.9%) in comparison to males (23.1%) on the privacy of internet banking.
  • Item
    Statistical Analysis of Road Traffic Accidents (RTAs) in Sri Lanka
    (Department of Social Statistics, Faculty of Social Sciences, University of Kelaniya Sri Lanka, 2021) Kodithuwakku, D.S.; Peiris, T.S.G.
    Road Traffic Accidents (RTAs) are one of the most prominent public health problems as it is a leading cause of death by injury and all deaths globally. This study, therefore, intended to determine the significant factors associated with RTAs in Sri Lanka (2005 - 2019) and the impact of those factors using data obtained from the Department of Police, Sri Lanka. The leading causes for RTAs are overtaking, speed driving and diversion and about 80% RTAs are due to these factors. The percentage of RTAs due to alcohol consumption by the driver is around 9%. Both exploratory and confirmatory factors analysis found that the causes for RTAs can be classified into two independent factors namely, (i) negligence of pedestrians & drivers and (ii) lack of attention of the driver. These factors are invariant by the factor extraction method and the type of orthogonal rotation. The condition of road the surface, light condition of the road, the situation of weather, type of vehicle and age of the driver are significantly influential factors in fatal accidents. The highest percentage of fatal accidents have occurred when the road is wet and light condition is poor during night. The inferences derived from this study can be effectively used for policy decisions related to traffic in order to minimize RTAs in Sri Lanka. The study confirmed the benefits of data-driven decision-making for policy decision process.
  • Item
    Value at Risk Estimation for the BRICS Countries: A Comparative Study
    (Department of Social Statistics, Faculty of Social Sciences, University of Kelaniya Sri Lanka, 2021) Salem, Ameni Ben; Safer, Imene; Khefacha, Islem
    This paper aims to investigate some statistical methods to estimate the value-at-Risk (VaR) for stock returns in the BRICS countries from 2011 to 2018. Four different risk methods are used to estimate VaR: Historical Simulation (HS), Risk metrics, Historical Method and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) Process. By applying the Backtesting technique, we test the effectiveness of these different methods by comparing the calculated VaR with the actual realized losses (or gains) of the portfolio or the index. The results show that for the all-BRICS countries and at different confidence levels, the Historical Method and the Historical Simulation are the appropriate methods, while the GARCH model failed to predict precisely the VaR for all BRICS countries.
  • Collection
    Issue 01