| Abstract [eng] |
The aim of this study was to develop a methodology for assessing the complexity of hiking routes using geographic information systems (GIS) and associated databases. The central hypothesis proposed that the complexity of hiking routes can be effectively evaluated using GIS technologies. To achieve this aim, five key objectives were established: 1. Identify the principles used by hiking organizations to assess route complexity. 2. Present and analyze existing projects that apply complexity assessment methodologies. 3. Conduct an analysis of hiking routes using GIS tools. 4. Develop a methodological framework for assessing route complexity. 5. Provide recommendations to aid in the planning and organization of hiking trips based on complexity assessments. The literature review discusses both local and international criteria used to evaluate the complexity of hiking routes. It also examines various recording and navigation applications commonly used by hikers. While international literature offers a growing body of knowledge on hiking assessment, there is a notable lack of research in Lithuania to support strong conclusions. The methodology section outlines the data collection devices and sources used in the research. It also introduces a conceptual GIS model implemented in ArcGIS Pro using the ModelBuilder environment. As part of the study, a GIS model was created to assist in identifying and quantifying roads along hiking routes. Route analysis revealed that the road surface does not significantly influence the speed of a hiker with average physical fitness. Across ten routes of similar length, a consistent average speed was recorded. The highest speeds were observed at the beginning of each route, gradually decreasing over time. Terrain, road passability, and surrounding vegetation were found to be key factors affecting hiking speed. The research utilized ArcGIS Pro, QGIS, and ArcGIS Online software. Maps were produced to support the visualization of hiking routes. |
