Bridging the Trust Gap: A Mixed-Methods Study of Paradoxical Leadership in Equitable Public Safety Reform

Abstract Automated traffic enforcement technologies, introduced to reduce human bias, have often reproduced racial inequities and eroded public trust. This paper presents a leadership-centered framework and a pre-registered mixed-methods protocol to examine how paradoxical leadership, Leader–Member Exchange (LMX) quality, and Kotter’s Eight-Step change practices shape equitable, trusted deployment of automated enforcement. The quantitative component surveys N = 250 residents in three U.S. metropolitan areas using validated scales (Paradoxical Leadership, LMX-MDM, trust/procedural fairness), testing bivariate associations (Pearson’s r) and multivariable models (linear regression with LMX moderation). The qualitative component comprises n = 30 semi-structured interviews (community members, city officials, enforcement officers), analyzed in NVivo via inductive-deductive coding and co-occurrence mapping. A convergent integration produces joint displays linking statistical relationships to experiential narratives. Planned outputs include equity dashboards, community audit templates, and testable propositions for future trials. By coupling a rigorously specified design with a guiding framework, this paper provides a feasible, transparent pathway for ethical, participatory reform of automated public safety technologies.