Modeling Household Solid Waste Generation in Urban Estates Using Socio-Economic and Demographic Data, Kisumu City, Kenya
Journal Title: Scholars Journal of Arts, Humanities and Social Sciences - Year 2017, Vol 5, Issue 5
Abstract
Abstract: Knowledge on household solid waste quantity is essential for planning solid waste management strategy for a given city. Lack of reliable studies on household solid waste (HSW) generation is a key challenge in proper HSW management. The objective of this study was to model HSW generation using socio-economic and demographic data in urban estates. The study adopted a cross-sectional descriptive research design. Three estates representing three socio-economic groups; High Income (Milimani), Middle Income (Migosi), Low Income (Obunga) were selected through multi-stage simple random sampling. A stratified proportionate random sample of 368 households was selected from a study population of 8651 households. Household survey questionnaires were used to obtain primary data on socio-economic and demographic characteristics of households while Direct Waste Weighing was used to obtain primary data on the amount of monthly HSW generated. Multiple linear regression was used to model the amount of HSW generated in Kilograms based on household size, household monthly income, household monthly expenditure on food and age of the household head. The findings of this study revealed that household size, household monthly income, household monthly expenditure on food and age of the household head explained over 97% of monthly HSW generation at 95% confidence level across high income (R2 =0.975 ) middle income (R2 =0.984) and low income ( R2 =0.976 ) socio-economic groups respectively indicating that the predictor variables selected for the regression are good predictors of HSW generation. The study concluded that socio-economic and demographic data were appropriate in modeling HSW generation. The models predicting solid waste generation are useful analytic tools in the design of solid waste management programs and are useful in areas where there is urgent need of planning for solid waste management. Keywords: Household solid waste generation, predictor variables, socio-economic and demographic data, planning, socio-economic group.
Authors and Affiliations
Jenniffer Vera Atieno, Boniface Oindo, Esna Bosire
Keywords
Related Articles
- EP ID EP380684
- DOI -
- Views 68
- Downloads 0
The Vanishing of the American Dream in 1920s’ America: An Analysis of the Deep Meanings of the Image of Green Light in The Great Gatsby
Fitzgerald’s The Great Gatsby depicts the whole tragic life of Gatsby and unravels the vanishing of the American Dream in 1920s’ America. In this novel, the image of green light serves as an important clue and carries de...
In Pursuit of the Successful Implementation of the New Curriculum in Zimbabwe’s Primary and Secondary Schools
This study investigated how the successful implementation of the New Curriculum in Zimbabwe’s Primary and Secondary Schools can be attained. The Convergent parallel design underpinned this study. Observation triangulated...
Research of classroom question design in beverage technology teaching
This paper explored classroom question design of beverage technology. The following principles were considered: constructing classroom question based on actual production situation, dialectical analysis and making the be...
Covariates of Stress and BMI in males of Uttarakhand, India
Abstract: Stress and Body Mass Index (BMI) have grave psychophysiological impacts, some of which are reported to be either more or specifically in males, like, hypertension, male infertility, etc. Hence, it is necessary...
Wrestling With Criteria of Legal Validity
We speak of law as a system of norms for regulating human conduct in society. Diverse people see law as relative to cultures, and views concerning absence of a universal legal culture tend to eliminate the idea of ultima...