Month January 2025

GeoTour Data Analytics Model

This model is designed to integrate and harmonize heterogeneous datasets, enabling a comprehensive, data-driven assessment of tourism trends, private sector activity, and urban mobility patterns. By systematically combining lodging statistics (including traditional accommodations and private-sector platforms such as Airbnb), granular…

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Accessibility Analysis

This model empowers users to conduct reachable range analysis by leveraging various transit modes including walking, driving, cycling, and bus across customizable time frames. Users can further enhance accuracy by incorporating either real-time or historical traffic data. Once the isochrone…

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Guest Nights

The Guest Nights Model is a platform that seamlessly integrates data from accommodation providers and business registries, facilitating a holistic evaluation of tourism dynamics and their economic contributions. By integrating information from these diverse sources, the system delivers granular insights…

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Tourism Economy on The Map

The geo-economic analysis model leverages financial datasets from corporate entities to elucidate economic activities associated with tourism. This analytical framework integrates geospatial and economic variables, enabling users to delineate study areas at multiple spatial scales such as counties, municipalities, or…

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Traffic Flow Analysis

This model enables efficient and high-precision analysis of traffic flow data collected from the nation’s traffic safety cameras (speed cameras), which capture vehicular passages with ~95% accuracy. The system supports both individual camera analysis (e.g. localized traffic patterns) and aggregated…

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Rapid Mobility Gap & Economic Impact Analysis Using D.U.GIS – A Case Study of Stockholm Hotels

The D.U.GIS tool is being developed at the CeTLeR Lab  at Dalarna University, Sweden. It is designed to support advanced geospatial analysis through seamless data integration and efficient processing workflows. In this demonstration, the tool is used to perform two distinct analyses…

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