Identifying safe(r) public spaces for women in Mexico City. Part 2: From quantitative to qualitative analysis

<p>In&nbsp;<a href="https://dppd.medium.com/identifying-safe-r-public-spaces-for-women-in-mexico-city-4f3d49d269d6" rel="noopener">the first installment of this series</a>, we recounted our initial steps in using the Data Powered Positive Deviance (DPPD)&nbsp;<a href="https://www.sciencedirect.com/science/article/pii/S2352728521000324" rel="noopener ugc nofollow" target="_blank">method</a>&nbsp;to find public spaces in Mexico City that were safer for women than other spaces with similar characteristics. This included clustering AGEBs &mdash; the basic geostatistical areas used in Mexico City &mdash; into three homogenous groups and using the number of female victims of crimes &mdash; that took place in public spaces &mdash; in investigation files as our performance measure to identify positive deviants. In this second installment, we share our latest progress.</p> <p>GIZ and the United Nations Development Programme (UNDP) in Mexico are collaborating with the Government of Mexico City to carry out this project, particularly,&nbsp;</p> <p><a href="https://acclabs.medium.com/identifying-safe-r-public-spaces-for-women-in-mexico-city-223c9aee6b4"><strong>Learn More</strong></a></p>