Research Article
Intraurban Analysis of Domestic Solid Waste Disposal Methods in a Sub-Sahara African City
Table 4
Multinomial logistic regression model of association between solid waste disposal methods and socioeconomic characteristics of residents.
| | Parameters | Roadside | Dumping in the drains | Nearby open space | | 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 | .364 | .190 | .697 | .364 | .190 | .697 | .190 | .087 | .415 | | High | 3.670 | 2.029 | 6.637 | 3.670 | 2.029 | 6.637 | 1.086 | .639 | 1.845 | | Income group | | | | | | | | | | | Low income | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | Middle income | .243 | .107 | .553 | .243 | .107 | .553 | .795 | .359 | 1.757 | | High income | .743 | .404 | 1.366 | .743 | .404 | 1.366 | .902 | .504 | 1.614 | | Age group | | | | | | | | | | | 19–30 (youths) | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | 31–55 (young adults) | .543 | .196 | 1.505 | .543 | .196 | 1.505 | .225 | .076 | .665 | | 56–65 (adults) | .479 | .225 | 1.022 | .479 | .225 | 1.022 | .759 | .377 | 1.530 | | School educational status | | | | | | | | | | | Primary school education | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | Secondary school education | 3.534 | .348 | 35.902 | 3.534 | .348 | 35.902 | 1.456 | .222 | 9.526 | | Tertiary school education | .478 | .242 | .944 | .478 | .242 | .944 | .584 | .302 | 1.132 | | Length of stay | | | | | | | | | | | 1–10 years | 1.000 | — | — | 1.000 | — | — | 1.000 | — | — | | 11–25 years | 1.322 | .081 | 21.685 | 1.322 | .081 | 21.685 | 1.825E9 | .000 | — | | 26–40 years | .716 | .042 | 12.190 | .716 | .042 | 12.190 | 2.036E9 | .000 | — | | Model (−2log likelihood) | 49.341 | | | 36.350 | | | 47.450 | | | | 135 | | | 91 | | | 71 | | |
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