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Figure 4 | EPJ Data Science

Figure 4

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

Figure 4

The case of New York City: streets characteristics and \(\sigma _{s}\). a) The map displays streets in the borough of Manhattan included in the final sample. A 10-quantile color scheme has been used for the value of \(\sigma _{s}\). The inset is the distribution of \(\sigma _{s}\) for streets included in the final sample (computed over the entire city of New York). b) The map displays the protection level of streets in the borough of Manhattan included in our sample. Yellow: no cycleway, light-blue: unprotected cycleway, dark blue: protected cycleway. The inset displays the box plots of \(\sigma _{s}\) for streets with different levels of protection (computed over the entire city of New York). ‘ns’, ‘*’, ‘**’, ‘***’, ‘****’ indicate the significance level of a Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, with the following p-values thresholds: 1e–4:‘****’, 1e–3: ‘***’, 1e–2: ‘**’, 0.05: ‘*’, 1: ‘ns’

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