Geomarketing as a Tool for Spatial Analysis of Regional Tourism Competitiveness
DOI:
https://doi.org/10.31861/geo.2025.854.107-118Keywords:
geomarketing, regional competitiveness, spatial analysis, tourism development,, GIS,, mobility data,, destination management,, geospatial modelling.Abstract
The study is devoted to the theoretical and methodological substantiation and practical application of geomarketing as a tool for spatial analysis of the tourism competitiveness of regions. Based on a review of relevant literature, it was identified that under the current conditions of globalization and the digital transformation of the tourism market, regional competitiveness increasingly depends on the ability to attract tourist flows through analytical understanding of spatial processes. It is shaped not only by natural, recreational, or cultural assets but also through the effective use of spatial data and marketing analytics tools. One of these tools is geomarketing, which integrates geographic information systems (GIS) with marketing methods to analyse consumer behaviour. The application of geomarketing in tourism opens new opportunities for spatial diagnostics of tourism potential, identification of regional tourism clusters, and assessment of territorial attractiveness. At the same time, in Ukraine the methodological principles of applying a geomarketing approach to evaluating regional tourism competitiveness remain insufficiently developed, particularly considering the spatial organization of the tourism services market. This challenge is especially relevant in the context of national economic recovery, where tourism is viewed as an important driver of sustainable regional development, territorial market attractiveness, and informed decision-making. This determines the need for further research aimed at developing a methodology for spatial and marketing evaluation of regional competitive advantages.
The aim of the study is to substantiate the theoretical and methodological foundations of a geomarketing approach to assessing tourism competitiveness of territories, taking into account both objective spatial factors and behavioural characteristics of tourism consumers.
It is substantiated that within the structure of regional tourism competitiveness, a key role is played by the spatially organized system of resources and factors that shape the tourism potential of a territory. It is determined that the core foundation of geomarketing analysis consists of natural landscapes and cultural-historical sites, which define the primary tourist image of a region and form its resource–attractiveness base. These components determine the spatial localization of tourist flows and act as central “points of attraction.” A complementary element is the tourism infrastructure – transport accessibility, accommodation and catering facilities, as well as service and digital solutions that ensure the functionality and usability of the territory for visitors.
The study analyses and systematizes contemporary sources of geomarketing data, reveals the areas of their use in tourism, and outlines their applied significance. It is emphasized that integrating these datasets significantly increases the accuracy and detail of evaluating tourist flows, allowing for mobility analysis, identification of overloaded areas, and detection of zones with development potential.
A geomarketing model for assessing regional tourism competitiveness has been developed, based on the integration of resource, infrastructural, social, institutional, and behavioural factors. The conceptual structure of the model includes four indicator blocks: Attractiveness (A) – natural and cultural attractions, uniqueness of the tourism product; Transport & Access (T) – travel time/cost, availability of transport hubs (airports, railways); Infrastructure & Service (I) - number of accommodation facilities, employment in the hotel sector, service POIs; Marketing Visibility and Market Performance (M) - digital visibility (Google Trends, TripAdvisor mentions), investment activity, tourism revenues. Each block contains a set of indicators that are normalized, weighted, and aggregated into an integrated index of regional competitiveness – G-MCI (Geomarketing - Multidimensional Competitiveness Index).
The proposed geomarketing model enables not only comparative analysis across regions but also spatial identification of clusters, “bottlenecks,” and areas of potential development. The combination of normalized indicators, spatial lags, and network accessibility measures creates a robust analytical basis for targeted tourism policy planning.
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