## 6 Conclusions  
As part of the work, a model was formed to determine the volume of traffic generated by shopping centres in medium-sized towns in two countries of the Southeast Europe region (the Republic of Serbia and Bosnia and Herzegovina). The construction of shopping centres arrived in our region late and changed the habits of customers. It has previously been known that land use change generates new trips, so shopping centres as constant all-day zones of attraction are especially interesting for analysis in terms of their impact on changes in traffic conditions on surrounding roads. In the first part of the paper, through the procedures of analysis and synthesis, the current knowledge about the connections between the purpose of areas with the spatial and temporal distribution of travel was considered. Despite the fact that any change in land use at a location creates the need for adequate analysis, definition of requirements and sizing of the transport network, it was concluded that there are no models in our region on the basis of which an objective assessment of the size could be performed, as well as spatial and temporal distribution of the generated newly created traffic. Shopping centres, as objects of high attraction throughout the day, require special attention. The second part of the paper presents a survey conducted at eight different locations throughout the territory of Bosnia and Herzegovina and the Republic of Serbia. The survey included the complete working hours of all shopping centres on the representative day, which enabled the formation of a database on the size of the generated traffic. After the formation of the database, the mutual relations and connections between the size of traffic attracted by shopping centres were analyzed depending on the characteristics of shopping centres and the characteristics of the environment in which they are located. Based on the conducted analyses, models based on linear regression analysis were defined to estimate the total daily number of shopping centre users and the expected total daily number of vehicles accessing the shopping centre parking lot. The analysis explored several different aspects of trip generation, including the relationship between trip generation and combinations of several independent variables. The conclusion is that the total sales area of shopping centres is the most significant for predicting the generated customer journeys. The results of the model were tested at a randomly selected shopping centre location, where research \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Facility**} & \multicolumn{2}{c}{**Measured Values of**} & \multicolumn{2}{c}{**Values Obtained by the Model**} \\ \cline{2-5}  & **Number of** & **Daily Vehicle Number** & **Number of** & **Daily Vehicle Number** \\  & **Visitors (UBO)** & **(UBV)** & **Visitors (UBO)** & **(UBV)** \\ \hline Object LOC\_1 & 6639 & 4159 & 6356 & 4042 \\ Object LOC\_2 & 6283 & 4030 & 5896 & 3724 \\ Object LOC\_4 & 4799 & 3053 & 5431 & 3458 \\ Object LOC\_5 & 2637 & 1589 & 3506 & 2261 \\ Object LOC\_6 & 3049 & 1972 & 2814 & 1831 \\ Object LOC\_7 & 3858 & 2513 & 3065 & 2000 \\ Object LOC\_8 & 2831 & 1936 & 2975 & 1957 \\ \hline \hline \end{tabular}
\end{table} 
Table 17: Comparative presentation of measured values and values obtained with Model 4 (UBO and UBV) at other locations. was also conducted, but data from this location were not taken into account when forming the model. In this way, the test results showed the validity and reliability of the formed models to estimate the average daily number of shopping centre users and the average number of vehicles appearing in the shopping centre parking lot. The obtained model is applicable in the procedures of planning and operational analyses when selecting optimal locations for the construction of new shopping centres in medium-sized towns, i.e., locations with the least negative impact on the deterioration of traffic conditions.