Cities are vital for social encounters, and urban planning and design shape how residents form social connections and build social capital. However, the urban form-social capital relationship is only moderately understood. Here, I propose exploring this relationship using an agent-based model designed for this purpose, where users can vary the urban environment’s level of sprawl, park space, and total population. The model simulates residents moving on an environment and forming social ties with other residents whom they encounter, which enables the measurement of synthetic network qualities and comparisons between networks based on urban form qualities. Initial results indicate that population and sprawl may reduce social network function (based on clustering coefficients and average path lengths) within cities, but that low-density housing may be more beneficial. While findings are too coarse for precise policy insights, I identify areas for further refinement and steps for comparisons with in-field research.