The objective of this study is twofold. First (1), it aims at assessing the built envi- ronment, where harassments occurred within the municipality of Valencia, Spain. Second (2), it characterizes the people, who are experiencing harassment within the municipality. Hence, this study follows the structure of an initial descriptive to a confirmatory analysis. Data from a Valencian Mobility Survey, collected from De- cember 23, 2020, to January 4, 2021, within the European research project TIn- nGO, open data from the municipality of Valencia, and data collected during field- work serve as the base of the analysis. Regarding (1), fieldwork in combination with the use of Geographical Information Systems (QGIS), was carried out to character- ize the areas and places of harassment and to develop a proximity analyses. For (2), python and stata were used to develop a binary logit regression model, aiming at explaining the dependent variable ‘harassment’ within the municipality of Valencia. The findings show that various commonalities within the place and area character- istics were found. Low visibility leading to poor natural surveillance and high prox- imity to vegetation, bike infrastructure and bus stops capture a large share of the harassment locations. On the other hand, the binary logistic regression model shows that harassment within the municipality of Valencia is to a higher degree situational than based on individual characteristics. While using your own bike, traveling with an independent person, and longer trip durations, on the other hand, having a disability are key determinants for harassment within the study area. These findings suggest that safety interventions need to be location specific and that they can vary between situational and individual factors. Moreover, these implica- tions should guide the work of urban planners within their mobility and safety in- terventions, eventually allowing to uptake sustainable urban mobility options.