The perception of security has important effects on daily life and mobility choices, and this is often in parallel to the reality of safety itself.
We have developed and validated urban security metrics through fieldwork with local communities in Guadalajara, Mexico. The model was validated using qualitative and quantitative methods, demonstrating that it is possible to generate reliable results that help decision-makers take action to improve urban safety.
Initially, we conducted an integrative review of 150 peer-reviewed articles and built a set of metrics on urban safety. We then conducted a two-week field observation in Guadalajara and evaluated these urban metrics in focus groups and survey results. Based on these metrics, we built an agent-based model (ABM) to prototype the interconnections between the underlying risk metrics in this community and public space. This study is relevant to the extent that analysis metrics were not available and allows real-time feedback on real urban actions with multiple objectives around mobility and safe interactions.
The perception of security has important effects on daily life and mobility choices, and this is often in parallel to the reality of safety itself.
We have developed and validated urban security metrics through fieldwork with local communities in Guadalajara, Mexico. The model was validated using qualitative and quantitative methods, demonstrating that it is possible to generate reliable results that help decision-makers take action to improve urban safety.
Initially, we conducted an integrative review of 150 peer-reviewed articles and built a set of metrics on urban safety. We then conducted a two-week field observation in Guadalajara and evaluated these urban metrics in focus groups and survey results. Based on these metrics, we built an agent-based model (ABM) to prototype the interconnections between the underlying risk metrics in this community and public space. This study is relevant to the extent that analysis metrics were not available and allows real-time feedback on real urban actions with multiple objectives around mobility and safe interactions.