Improving resource efficiency by better understanding the available amount, value, structure, ownership, use, etc. of resources within a given locality is crucial to planning and implementing good resource-based spatial policies. For the adaptive and sustainable development of a territory, the decision-makers need exact information about the potential and consumption (new working places, culture-based economy, innovation ecosystem, etc.) of resources related to the development processes of a given place. Geographic information systems (GISs), through the large analysis capacity of spatial databases, offer multiple possibilities for evaluating a territory, taking into account the main components that generate dysfunction or that impose functionality in the territory [5; 6; 7; 8; 9; 10; 11; 12; 13; 14; 15]. An integrated analysis of the components, as spatially referenced databases, through the integrated applications and analysis models developed, produces notable results that support analysis and decision-making [16; 17; 18; 19]. Analyses based on the point distribution of territorial infrastructures [20; 21], here including industrial locations such as creative industries within large urban centres, lend themselves very well to the development of simple GIS spatial analysis models that are implemented mainly through spatial proximity analysis [22; 23], spatial interpolation [24; 25], or spatial geostatistics [26; 27]. The development of these types of GIS spatial analysis models has a number of limitations that derive from the fact that only point location and distance are considered in the spatial analysis process. The development of GIS spatial analysis models for identifying areas with certain degrees of functionality requires the integrated analysis of several factors that contribute to determining the type of territorial functionality. This requires the development of integrated spatial analysis models that do not rely solely on the facilities offered by geoinformation software--models that include in their structure the correlative analysis of spatial databases of different types, in terms of structure and geometry [28]. Integrating into this modern trend of GIS spatial analysis, a series of models have been developed to assess territorial dysfunctions using network analysis as a method to study the relationships between the components of a network and the locations of industrial centres that generate different types of territorial functionality [29; 30; 31]. The present study is outlined as a GIS model of spatial analysis that takes into account only the locations of the creative industries chosen as test elements, excluding the population component, focusing on the quantitative analysis of the impact of accessibility within territorial structures with different geometries and surfaces. The main aim of the present investigation is to propose a GIS model for spatial analysis that allows for the comparative analysis of two urban centres that are different in terms of the spatial extension, shape, and placement of analysed infrastructures, namely Cluj-Napoca, Romania, and Pecs, Hungary. The focus of the study is the spatial distribution of creative industries (as territorial arranged test infrastructures), using network analysis as the main methodological approach to identify their cumulative impact in terms of accessibility. In order to achieve the proposed main objective, an integrated geographic information system (GIS) model for spatial analysis has been developed, focusing on pedestrian accessibility in view of the role of the recently developed and implemented 15 min cities concept in large urban centres.