College of Science

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https://ir.knust.edu.gh/handle/123456789/15

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Browsing College of Science by Subject "Accra"

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    An empirical study of attitude towards mobile insurance in Accra
    (October, 2019) Adjei, Adolf;
    Attitude towards mobile insurance products and services are influenced by socio-economic and background characteristics of the mobile phone users. This study examined possible determinants of attitude towards mobile insurance in Accra. The data for the study was obtained through the use of a questionnaire. Exploratory Factor Analysis (EFA) and Binary Logistic Regression were used to analyze and fit the data for predicting uptake or otherwise of mobile insurance. The findings of the study revealed that there are three main factors explaining the attitude towards mobile insurance products and services in Accra. These factors are the affect (feelings) attitude, cognitive and conative or behaviour. The findings of the study showed the attributes of risk, convenience, price and investment as the main (significant) predictors of attitude toward mobile insurance in Accra. Gender, age, income status, employment status, number of dependents were found to be significant at 5% level of significant as predictors of attitude towards mobile insurance in Accra. It is recommended that the insurance companies on the mobile platform take advantage of the results on the attributes and the socio-economic and background characteristics that influence attitude towards m-insurance to formulate and implement relevant marketing strategies, aimed at improving their existing marketing strategies and most importantly targeting the uninsured.
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    Flood control and assessment of Accra using the weap hydrological model
    (January, 2018) Anderson, Ekow Akyen;
    The increase in the frequency and intensity of flood in some parts of Greater Accra Region is becoming a matter of great concern to the entire nation due to its negative effects on the development of the region. These floods have over the years been attributed to numerous factors including; climate change, urbanization, poor drainage systems, sea level rise and over population. The study used Water Evaluation and Planning (WEAP) hydrological model to estimate the surface runoffs for the sub-basins and also to find the correlation between Standardized Precipitation Index (SPI) and the historical flood events in Greater Accra. The study also determined the surface runoffs generated within each sub-basin. The WEAP model was used to generate surface runoff from 1990 to 2040 taking 1990 as the base year. ArcGIS 10.3 was used to delineate eight sub-basins and thereafter deter mined the characteristics of the sub-basins. Rainfall normalization was performed using the Standardized Precipitation Index and the results were verified against historical flood events for the basin over the study period. The model output was compared to observed stream flow measurement. In general a good correlation of 0.81 and 0.71 were obtained for correlation coefficient and coefficient of determination respectively. The study re vealed that, a minimum rainfall of about 60 mm would cause flood across all the eight (8) sub-basins. Also, extreme rainfall with SPI of 1.5 or more would cause flood in Greater Accra. The month of June was found to produce the highest volumes of surface runoff while December generated the least volumes of surface runoff with average runoffs of 2.4 ii× 106 m3 and 1.0 × 106 m3 respectively. It was confirmed from the research that, higher volumes of rainfalls in the sub-basins generates higher surface runoffs and therefore there are higher tendencies for floods to occur when rainfalls are high.