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Figure 6 | EPJ Data Science

Figure 6

From: Revealing the determinants of gender inequality in urban cycling with large-scale data

Figure 6

Odd Ratios of minimal logistic models, for all cities in the sample. The charts present estimated ORs of minimal logistic regressions, where the target variable is the binarized \(\sigma _{s}\) regressed against a categorical variable for the protection level of the street (three classes: No protection (baseline), Protected cycleway and Unprotected cycleway). The models are run for each city separately. The squared markers are the point estimates for Protected cycleway and the circular markers are the points estimates for Unprotected cycleway. The straight lines represent the estimated 95% confidence interval for the corresponding OR. Only statistically significant ORs (significance level 0.95) are pictured. For each city, the minimal model are estimated on three different sample selections, with the threshold α corresponding to 0.25 (yellow), 0.33 (light-blue) and 0.40 (dark blue). The ORs are computed exponentiating the corresponding estimated coefficients. Only cities with at least one statistically significant ORs are pictured

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