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One of the important segments of pedestrian infrastructure are pedestrian bridges. The importance is greater if these bridges are of historical and cultural significance to the city or region. To manage these bridges, it is important to develop an approach that can enable systematic and organized decision-making for experts and policy makers. Hereby, a recovery of bridges is analyzed for the priority ranking of historic pedestrian bridges. Maps of Europe from XIX. Century for the area of Split-Dalmatia County (SDC) are used to locate the bridges. A total of nine bridges are identified, and a set of relevant criteria are defined to evaluate these bridges. The Analytic Hierarchy Process (AHP) is used for the comparison of criteria, evidential reasoning for the assessment of bridges according to each criterion, and then the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is conducted for priority ranking of bridges for the recovery planning. To achieve the final order of bridges it was crucial to take into account mechanical, dynamical, ecological, financial, and, also, social characteristics of these bridges, which was not an easy task. For this reason, the authors proposed a model of decision support to help policy and decision makers in the managing of recovery activities of historic road bridges. The model was conducted on the bridges in the area of SDC, built until the end of the Austro-Hungarian Monarchy. [ABSTRACT FROM AUTHOR]

Problems in real life usually involve uncertain, inconsistent and incomplete information. An example of such problems is strategic decision making with respect to remediation planning of historic pedestrian bridges. The multiple decision makers and experts, as well as the various mutually conflicting criteria, unknown criteria weights, and vagueness and duality in final decisions, provide motivation to develop a methodology that is able to resist the challenges implicit in this problem. Therefore, the aim of this research was to propose an algorithm based on the theory of rough neutrosophic sets in order to solve the problem of strategic planning with respect to the remediation of historic pedestrian bridges. A new multicriteria decision-making model is developed that is a fusion of rough set and neutrosophic set theory. A new cross entropy is proposed under a rough neutrosophic environment that does not possess the shortcomings of asymmetrical character and unknown occurrences. Additionally, a weighted rough neutrosophic symmetric cross entropy is proposed. Furthermore, a rough neutrosophic VIKOR method is introduced, with which the values of the utility measure, regret measure and VIKOR index are obtained. These values, as well as the weighted rough neutrosophic symmetric cross entropy measure, are used to provide a ranking of historic pedestrian bridges favorable to remediation. Finally, an illustrative example of the strategic planning of remediation for historic pedestrian bridges is solved and compared to other research, demonstrating the robustness, feasibility and efficacy of the model when dealing with complex multicriteria decision-making processes. [ABSTRACT FROM AUTHOR]