## 4 Results and Discussion  
The results obtained as a consequence of the implementation of the proposed model and methodology are based on the quantitative analysis of the results obtained following the implementation of the spatial analysis stage, both for obtaining databases representing the locations of creative industries and for their management and spatial integration, in order to finally compare the two cities in terms of accessibility to creative industries. The spatial arrangement of creative industries within cities reveals two different patterns in terms of their clustering--patterns that directly influence the spatial arrangement of accessibility ranges. The analysis of hot-spot clusters brings to the fore the clustering in a single hot-spot identified near the centre of Pecs. Instead, three main hot-spots can be identified in the city of Cluj-Napoca: a very well-connected hot-spot in the centre of the city; a hot-spot in the eastern part of the city spatially identified with the largest block of flats (Manastur district) in Cluj-Napoca--thus, in one postal code, several creative industries are identified, but they are on different floors; and a hot-spot in the making (the Grigorescu neighbourhood)--an expanding neighbourhood where many commercial companies have their headquarters but operate in other locations (Figure 3). From the point of view of the spatial arrangement of the cold hot-spots, the city of Cluj-Napoca stands out with such a hot-spot in the northern part; a hot-spot developed due to the expansion over large areas of neighbourhoods with individual homes; and a cold hot-spot in the immediate vicinity of the airport, where more storage spaces and less creative industries are identified. Approximately the same directional distribution is identified in the NE/SW direction imprinted by the inner-city development of the two cities, around the main transport axes that serve them. The activities of the cultural economy are not evenly distributed [47]. In some spaces, they are organised in clusters, especially in larger cities, where there is a complex system of specialised services and a specialised workforce. In regional centres, productive activities are co-located or linked to larger economic sectors such as high-tech and financial services, which depend on cultural and design-based industries as input sources. As we have seen in the business registers, most of the CCI sector is made up of micro and small enterprises and is therefore characterised by both fragmentation and economic networking, specialisation, and flexibility. Spatial proximity provides agglomeration benefits through cost reduction and access to knowledge [48]. These effects can be well exploited in the CCI sector, and a conscious intervention of urban policy can help. In the case of Pecs, the preparation for the European Capital of Culture title has provided a huge opportunity for the renewal of the city's creative industries and their locations [49]. The hot-spots in Pecs show the extent to which economic policy can have an impact on businesses in the CCI sector. The renovation of the Zsolnay district has extended the city centre, creating a new creative quarter within the city. Due to the large number of creative industries (36 depending on the field of activity and their CAEN code), it was decided, within the accessibility comparison analysis, to classify them into 11 classes to highlight their specificity (Table 2). Figure 3: Hot-spot of creative industry distribution.