## 3 Results
### Tools and Models
[19] using three methods to assess the distance from a patient's residence to hospital, i.e., Euclidean, Manhattan and Minkowski. The results showed that measurements of distances and travel times cannot be used directly in spatial analytical modelling. [PERSON] and [PERSON] [22] compared in 2015 two modelling methods used to make decisions on the locations of healthcare facilities and pertaining infrastructure, which are based on seven main criteria (environment and safety, size, total costs, accessibility, design, risks and population profile) and 28 sub-criteria. By developing and studying decision-making models, they contributed to the rationalisation of the selection of healthcare facility and infrastructure locations, particularly in future decisions. On the other hand, the study by [PERSON] et al. [30] in 2019 proposed a new multiple target mathematical model to devise a healthcare system, increase the level of coverage and reduce operating costs. The model is devised to ensure that all services required by each town within a district are provided. Among the numerous tools for seeking the optimal location of healthcare facilities is an open-source tabular tool, which serves as support for decision making and is presented in an article in 2019 by [PERSON], [PERSON] and [PERSON] [29]. Using the tool in a healthcare case study, computer tests showed that comparable values can be optimally solved in decision making on the location of facilities. A study analysing the balance of the spatial distribution of hospitals in Wuhan in China includes analyses of the accessibility of healthcare facilities and proposes the multi-criteria evaluation (MCE) to assess location when constructing new hospitals [23]. Its objective was to improve the Huff model. It showed that the accessibility of healthcare facilities is better in central urban areas than in the suburbs, and that the proposed model may significantly improve the accessibility of healthcare facilities. In contrast with complex approaches used by the GIS tools or complex analytical modelling, simple spatial simulations for urban planning in small municipalities provide information support to urban planners, architects and policymakers to tackle interrelated challenges of urban systems and assess the consequences of special planning strategies [24]. Such tools are useful in daily administrative procedures in small municipalities and can contribute to more useful sustainable urban planning, taking into the consideration the walking distances to healthcare centres as a spatial attractiveness and on the other hand the ground values being the highest in the city centres and lowest in the outskirts. As a response to growing demand for greater prudence regarding public investments by taking into account the quality of services and addressing spatial issues, [PERSON], [PERSON] and [PERSON] analysed [21] the decision-making processes on the siting of large public buildings using an example of defining the best location for a public hospital in a Portugal region. The analysis showed that segmentation to macrolocations and microlocations is a special feature of the used approach, and that the merger of the relative criteria keys (better/worse), the contributions of the geospatial analysis (e.g., centres of gravity) and quantitative data (e.g., minimum travel time) with other sources were crucial to the decision-making process regarding the location of public buildings.