Research Article
Intraurban Analysis of Domestic Solid Waste Disposal Methods in a Sub-Sahara African City
Table 3
Multinomial logistic regression model of association between solid waste disposal methods and socioeconomic characteristics of residents.
| | Parameters | Burning | LAWMA refuse facilities | Accredited PSP | | Exp(β) | 95% CI for Exp(β) | Exp(β) | 95% CI for Exp(β) | Exp(β) | 95% CI for Exp(β) | | Lower | Upper | Lower | Upper | Lower | Upper |
| | Residential densities | | | | | | | | | | | Low | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | Medium | .000 | .000 | — | .666 | .356 | 1.246 | 1.707 | .910 | 3.202 | | High | .396 | .214 | .733 | .405 | .228 | .719 | 1.643 | .951 | 2.839 | | Income group | | | | | | | | | | | Low income | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | Middle income | 2.616 | .922 | 7.423 | .745 | .335 | 1.659 | 2.693 | 1.181 | 6.140 | | High income | .727 | .386 | 1.366 | 2.320 | 1.248 | 4.312 | 1.037 | .576 | 1.866 | | Age group | | | | | | | | | | | 19–30 (youths) | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | 31–55 (young adults) | .000 | .000 | — | .467 | .177 | 1.233 | .629 | .238 | 1.663 | | 56–65 (adults) | 1.248 | .544 | 2.866 | .582 | .257 | .993 | 1.716 | .858 | 3.432 | | School educational status | | | | | | | | | | | Primary school education | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | Secondary school education | .000 | .000 | — | .401 | .038 | 4.195 | 1.619 | .160 | 16.339 | | Tertiary school education | .606 | .278 | 1.317 | .505 | .257 | .993 | 1.522 | .794 | 2.917 | | Length of stay | | | | | | | | | | | 1–10 years | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | 11–25 years | .000 | .000 | — | 1.650E9 | .000 | — | .950 | .058 | 15.574 | | 26–40 years | .000 | .000 |
— | 1.120E9 | .000 | — | 1.160 | .069 | 19.635 | | Model (−2 likelihood) | 34.713 | | | 49.883 | | | 49.638 | | | | 51 | | | 99 | | | 172 | | |
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