While spatial accessibility characterises and identifies high-altitude mountain and protected areas in The Alps―monitoring the number of visitors is still largely grounded to the accommodation facilities and/or transport links in the...
moreWhile spatial accessibility characterises and identifies high-altitude mountain and protected areas in The Alps―monitoring the number of visitors is still largely grounded to the accommodation facilities and/or transport links in the bordering valleys/municipalities. The local spatial planning instruments which might permit a change in tourism bed-density as a key indicator, e.g., municipal space and landscape plans, have a fundamental impact on the surrounding near-natural areas. Yet, the pattern of the non-technical visitor flow (trails) in high-altitude areas is not fully monitored or analysed. In fact, several recent studies focus on the visitor counting methods utilised at observation-based points for the monitoring of tourism flow, i.e., visitor count per hour per point, without equally elaborating on methodology(ies) to identify these points―apart from a selection criteria. Thus, this paper addresses, quantifies and geo-visualises the question of: what points-of-eco/cultural-interest (POIs) of a mountain landscape are being consumed as a commodity―for the monitoring of tourism flow and multi-purpose impact surveys for policy-testing? The POIs are subjected to a profound temporality as a result of the change in landscape consumption, i.e., through the promotion of clusters of POIs. Founded on the cartographic theory and field landscape documentation surveys in Alto Adige/Südtirol (and The Alps), this paper introduces a cartographic and spatio-market planning methodology and indicator to answer the above question. It spatially segments the POIs in the high-altitude mountain and protected areas, based on accessibility and topography, and land cover and feature type (characteristics/geodiversity); and analyses the connectivity clusters of the POIs (preference). All destinations, i.e., nodes (ultimate POIs), within the boundary of a particular high-altitude mountain and protected area, are identified through cross-referencing all available sectoral/industry sources, where the total POIs on all possible routes to a specific node form a single preference (connectivity) cluster. The clusters overlap to create low/medium/high frequency POIs. Thus, the methodology funnels the landscape into a pattern of multiple frequency consumption POIs (quantification) of specific characteristics for the monitoring of tourism flow in actual market terms, and maps these preference (connectivity) clusters for use in local/regional spatial planning instrumentation (protected area and municipal plans), i.e., geodata tool (geo-visualisation). The methodology has formative and comparative implementation in high-altitude mountain and protected areas in The Alps, namely, with regards to conservation and area connectivity. The impact of visitors along the trails is assessed by an impact indicator, i.e., through the aggregation of the multiple frequency POIs into multiple frequency unit areas (localised grid). As an ultimate result, the indicator ‘Impact Density of Tourism Flow’, equals, the number of medium/high frequency unit areas per particular high-altitude area (total area). The geo-visualisation of this indicator act as a management tool to identify medium/high frequency unit areas for the monitoring tourism flow. The latter is mentioned in terms of unit areas not POIs―because within each of the unit areas there might be several medium/high frequency POIs, where only one POI (highest frequency) will be used as a monitoring point to avoid any visitor double-counts. Thus, the monitoring would occur based on both, the patterns of the POIs inside each unit area and the unit areas across a particular high-altitude mountain and protected areas―while factoring-in the geodiversity (characteristics) of the landscape as a unique offering identified at the POIs level (competitive advantage/economy of difference). The monitoring of tourism flow through the implementation of the spatio-market methodology and the use of the indicator: ‘Impact Density of Tourism Flow’―directly facilitates the cooperation between the supralocal stakeholders: nature protection and tourism associations and businesses, municipalities, etc. The identified and quantified POIs and unit areas are associated with the Sustainable Tourism Management policy in the study-area, i.e., namely, nature conservation, beyond the approach based on the accommodation facilities and/or transport links in the bordering valleys/municipalities. Hence, nature conservation is 1 out 15 key issue areas addressed by the Sustainable Tourism Observatory of South Tyrol, part of the data-driven long-term UNWTO-INSTO International Network of Sustainable Tourism Observatories. Moreover, this policy is aligned with the AlpCon - Alpine Convention’s Tourism protocol, article 8 on Controlling Tourists Flows, particularly in protected areas, and AlpArc’s Alpine Park 2030, recommendation 10 on Direct and Concentrate Touristic Impact.