Optimising geotrail planning by leveraging least-cost path for sustainable geotourism development: a case study on a Tasmanian west coast post-mining landscape

A novel methodology combining Least-Cost Path (LCP) modeling with the Analytic Hierarchy Process (AHP) demonstrates significant potential for optimizing geotrail planning, particularly in post-mining landscapes like Tasmania's West Coast. This approach enables tailored trail design that aligns with best practices and diverse user personas—such as those interested in mining heritage, natural values, or wilderness adventure—while reducing costs by up to 20% through field validation via GNSS surveys. The validated LCP model enhances accessibility, environmental compliance, safety, and user experience, offering a scalable solution for sustainable geotourism development. A Python toolbox ensures replicability, making this methodology accessible globally.

Williams, M. A., Rolls, S., & McHenry, M. T. (2025). Optimising geotrail planning by leveraging least-cost path for sustainable geotourism development: a case study on a Tasmanian west coast post-mining landscape. Information Technology & Tourism, 27(2), 477–512. https://doi.org/10.1007/s40558-024-00308-w