Selelah Okoth
Description
The data included herein provides findings from a study on assessment of the level of awareness on premature end of life vehicles and their impacts among households and relevant public and private insititutions within Nairobi City County, Kenya. Data collection was done by developing data collection instruments in which case, semi-structured questionnaires were administered for households while key informant interviews were conducted for public and private insitituions. Stratified sampling was employed in dividing the whole study area with the strata being levels of income (high, medium and low). The fifteen estates which were picked for the study from the three strata were as follows; High income residential estates being Runda, Kileleshwa, Nyayo Embakasi, Ngong and South C; middle income residential estates being Race Course, South B, Buruburu, Utawala, Fedha and Kariokor; and low income residential estates being Kasarani, Umoja, Lucky Summer and Kariobangi. Systematic random sampling was then employed in the selection of households. The questionnaire was administered to 170 households in comliance with the defined income strata. In areas with high concentration of households, the questionnaire was adminsitered in every 10th household, while in sparsely populated areas, the questionnaire was administered in every 15th household.Interviews were conducted for 88 key informants from various institutions. These institutions were categorized by work they do namely; a) policy making institutions i.e. State Department of Environment and State Department of Transport; b) regulators i.e. National Environment Management Authority (NEMA), National Transport and Safety Authority (NTSA), Directorate of Occupational Safety and Health Services (DOSHS), County Government of Nairobi (Environment, Transport and Planning departments), and Traffic Police Department, and Matatu (public service vehicles) Owners Association. Collected data were entered into an MS Excel spreadsheet for cleaning and preparation. The statistical package used (SPSS V.26) was used to analyze the data. The key focus on households and key informants was their understanding of premature ELVs and their level of awareness on management of premature ELVs within the study area. Socio-demographic data particularly gender analysis and duration of stay for households as well as years of experience for key informants were obtained from the respondents. To test the statistical significance of the opinions of the key informants on their awareness of premature ELVs and their impacts, ANOVA test was conducted. A G-test of independence was conducted to test the statistical significance of the awareness level of institutions and households on the existing management mechanisms for premature ELVs. The variable with probability value p of less than 0.05 was considered significant and informed findings and conclusions that should support effective management of premature ELVs including policy actions.
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The data included herein provides findings from a study on assessment of the management mechanisms for premature end of life vehicles within Nairobi City County, Kenya. Data collection was done by developing data collection instruments where, semi-structured questionnaires were administered for households while key informant interviews were conducted for public and private insitituions. Stratified sampling was employed in dividing the whole study area with the strata being levels of income (high, medium and low). The fifteen estates which were picked for the study were as follows; High income residential estates being Runda, Kileleshwa, Nyayo Embakasi, Ngong and South C; middle income residential estates being Race Course, South B, Buruburu, Utawala, Fedha and Kariokor; and low income residential estates being Kasarani, Umoja, Lucky Summer and Kariobangi. Systematic random sampling was then employed in the selection of households. The questionnaire was administered to 170 households in line with the defined income strata. In areas with high concentration of households, the questionnaire was administered in every 10th household, while in sparsely populated areas, the questionnaire was administered in every 15th household. Interviews were conducted for 88 key informants from various institutions. These institutions were categorized by work they do namely; a) policy making institutions i.e. State Department of Environment and State Department of Transport; b) regulators i.e. National Environment Management Authority, National Transport and Safety Authority, Directorate of Occupational Safety and Health Services, County Government of Nairobi (Environment, Transport and Planning departments), Traffic Police Department, and Matatu (public service vehicles) Owners Association. Collected data were entered into an MS Excel spreadsheet for cleaning and preparation. The statistical package used (SPSS V.26) was used to analyze the data. The key focus on the households and key informants was their understanding of existing mechanisms used in the management of premature ELVs within the study area. Socio-demographic data particularly gender analysis and duration of stay for households as well as years of experience for key informants were obtained from the respondents. The key informants were categorized in various work sectors namely; policymaking, law enforcement and regulation, insurance firms, salvage and disposal. A G-test of independence was conducted to test the statistical significance of the knowledge of institutions and households on the existing management mechanisms for premature ELVs. To test the statistical significance of the factors determining the choice of management mechanism among the respondents, ANOVA test was conducted. The variable with probability value p of less than 0.05 was considered significant and informed findings and conclusions that should support effective management of premature ELVs including policy actions.