June 24, 2025The International Journal of Humanities & Social StudiesOpen Access

Multinomial Logistic Regression to Estimate and Predict the Influence of Gentrification and Urban Renewal on Residential Choices in Kisumu City, Kenya

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Odds ratio analysis indicated that gentrification significantly impacts residential choices, especially in low-income neighborhoods.
The study found an increase in the likelihood of selecting homes in low-income neighborhoods due to urban renewal, with an odds ratio of 2.829.
Using a mixed-method research design, the study successfully applied multinomial logistic regression to predict housing preferences in Kisumu City.
These findings are vital for informing housing policy for the national and county governments in Kenya.

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Implication

Multinomial logistic regression reveals urban renewal increases low-income residential choices, while gentrification suggests shifts towards high-income areas.

Cite This Study

Ochengo et al. (2025) studied this question.

synapsesocial.com/papers/68af6d847567bf4f94fea720 https://doi.org/10.24940/theijhss/2025/v13/i5/hs2504-011

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Implication

Multinomial logistic regression reveals urban renewal increases low-income residential choices, while gentrification suggests shifts towards high-income areas.

Multinomial Logistic Regression to Estimate and Predict the Influence of Gentrification and Urban Renewal on Residential Choices in Kisumu City, Kenya

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Discussion

Implication

Cite This Study

Multinomial Logistic Regression to Estimate and Predict the Influence of Gentrification and Urban Renewal on Residential Choices in Kisumu City, Kenya

Key Points

Discussion

Implication

Cite This Study

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