A systematic methodology for condition assessment of the historic road bridges was needed because of the poor and inadequate condition of bridges which cannot satisfy everyday-day dynamic loads and deteriorations due to the aging process. Thus in this study, a new expert system based on the knowledge approach has been proposed to develop a systematic procedure for condition assessment of these bridges using fuzzy logic and sets of $\alpha$-cuts. Each bridge is divided into three components: superstructure, substructure, and equipment, and each component is divided into relevant elements. These elements are evaluated by an expert and their ratings are fuzzified according to defined fuzzy sets, their membership functions, and linguistic values. Furthermore, fuzzy structural importance is given to ratings of each element. Combinations of these two values are calculated to obtain a fuzzy rating of the component using the Fuzzy Weighted Geometric Mean (FWGM). Finally, for the defuzzification of the component rating, the centroid method is proposed. The Analytic Hierarchy Process (AHP) is used for comparison of the components. The bridge condition rating is achieved by summering all the components ratings multiplied by their relative importance, and it is presented as a value of the Historic Road Bridge Condition Assessment Index (HRBCAI). The validation is conducted on the bridges built until the end of the Austro-Hungarian Monarchy in Split-Dalmatia County, Croatia.

The aim of this paper is to present a new decision support concept (DSC) related to the ever-growing problem of the maintenance of damaged asphalt pavements. In the process of defining a sustainable approach to resolving this problem, we found complexity in the different needs considering economic, social, and technical aspects. An additional contribution to the problem’s complexity was the many road sections that need to be ranked based on their need for maintenance. The priority ranking was based on the multicriteria Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) method and the Analytic Hierarchy Processing (AHP) method. The DSC implementation contained the inclusion of relevant stakeholders and the definition of goals through identification of several different criteria and their weights. This approach to criteria determination provided a final ranking list of spatial units for maintenance, satisfying the needs of all stakeholders. The DSC presented in this paper was tested in the city of Split for the most important roads needing maintenance of asphalt pavements.

The construction barrier removal (for the physically disabled) policy selection is a complex task and a vital part of the planning phase within the management of such construction projects. This paper deals with design of the decision support concept for this kind of task. It focused on support for identification, selection, and priority ranking of schools’ facilities, and adoption of this concept improves the project realization. The implementation of the concept began with analysis of the issue and identification of relevant stakeholders followed by a goal analysis. Combining the gained goal tree and its objectives and criteria with the multicriteria decision-making methods analytic hierarchy process (AHP) and Preference Ranking Organization Method For Enrichment Evaluation (PROMETHEE) II, the priority ranking of schools’ facilities was determined. Afterward, using budget and/or other constraints introduced by the PROMETHEE V method, several different sets of schools to be sequentially funded in the following investment years were defined. Depending on introduced constraints, three policy design styles were defined (budget, spatial-functional, and combined) and compared mutually, and one was selected. Validating the proposed concept in Split-Dalmatia County, Croatia showed that a high-quality policy to achieve a construction barrier–free environment (by adapting 95 facilities in 4 years) can be selected in a sustainable and systematic manner.

The planning of nautical tourism development and especially, the planning of its supporting infrastructure development, is important topic of the maritime spatial planning. The focus of research is the integration of multicriteria analysis and stakeholders within concept modeling that will provide support to the spatial planning specialists in the design of plans related to the development of anchorage capacities for small vessels. It examines economic, environmental, ecological, social, and civil engineering concerns related to the use of coastal water. It is a complex and ill-defined civil engineering problem because of multiple stakeholders with diverse interests, numerous conflicting goals and criteria, huge quantities of information and data, limited resources, etc. The research is concentrated on an integral approach to sustainable decision-making within maritime spatial planning by the modeling decision support concept to the processes of identification, validation, comparison, and the selection of locations for anchorage construction, based on multicriteria methods, goal analysis, and the logic of the decision support system. The concept is tested on the island of Šolta, Croatia, and has been proven as being an applicable, consistent, efficient, and effective methodology for the planning of the anchorage locations.

This article presents a decision support concept for management of rehabilitation projects. The focus of the research is on the application of multicriteria methods of decision-making in planning a historic bridge rehabilitation project. The problem addressed in this research is a major one from many different perspectives, such as civil engineering, economics, etc., which indicates a need for the evaluation of different rehabilitation methods using several different criteria. Therefore, a decision support concept for a historic bridge rehabilitation method based on the PROMETHEE method has been designed. Three groups of stakeholders have been included (civil engineering experts, economic experts, and government experts) to define appropriate criteria, their weights, and preference functions. For determination of criteria weights, the AHP method has been used. The model has been tested on the problem of choosing the rehabilitation method for the Pavića Bridge in Croatia.

In environmental projects, decision-making can be a complex and challenging task due to the in-built existence of compromises between environmental, socio-political, and economic factors. This paper explores a systematic approach to developing a decision support concept that includes the analysis of wastewater treatment problems, knowledge acquisition, and the identification and evaluation of criteria that bring forth an optimal solution to the location selection of wastewater treatment plants (WWTPs). The objective of this research is to develop a decision support concept (DSC) to aid in the planning phases of complex engineering projects, such as the construction of WWTP. The development of the concept starts with an assessment of the issue and an identification of relevant stakeholders accepting their different views and attitudes in an attempt to resolve this issue. The DSC was tested on a real case project—WWTP location selection within the town of Kutina, Croatia. Results indicate that it is possible to develop such a concept based on multicriteria methods on which decision-makers can rely.