Bridges are a fundamental component of transportation infrastructure networks and society as a whole, as their failure may cause fatalities, business disruption (e.g. traffic delay), and hinder rescue operations. The current critical condition of many of these structures, as highlighted by many recently observed failures worldwide, underscores the urgency of their assessment and, if necessary, subsequent retrofitting (or replacement). To this end, different strengthening solutions of increasing technological level are nowadays available to achieve an adequate seismic structural capacity, according to code-based requirements. The appropriateness of any given solution depends, in addition to structural criteria, to other objectives imposed by societal demands. This aspect creates the need of identifying the most appropriate solution with respect to multiple Decision Variables (DVs), of structural, social, economic, technical, and environmental nature. This study focuses on the identification of optimal seismic retrofitting interventions for a case-study bridge located in northern Italy, using multiple objectives, characterised by different uncertainty levels. The considered retrofitting strategies include RC jacketing, steel jacketing, and FRP confinement of piers, as well as seismic isolation of the deck, all combined with the baseline replacement of non-conforming seismic joints and designed through standard engineering practice. Multiple-stripe analysis is used to estimate the nonlinear response of the various bridge configurations to quantify different DVs, including, amongst others, direct economic losses, mean annual limit state exceedance rates, environmental impact, and material consumption. Finally, based on the quantified DVs, the performance of the different retrofitting strategies is compared and discussed to identify the preferable solution(s), according to various performance objectives.