Introduction
Overtourism’ is a relatively new term in the public and academic debate on negative consequences of tourism. However, the phenomenon itself is not a new one, as problematic forms of tourism crowding and their effects on local communities and environment have been studied for decades. Yet, there is much evidence that the character of tourism in many locations is changing rapidly.
It is important to realise that overtourism is still at the very beginning of the policy cycle. The policy-cycle theory states that policies develop through a range of stages, of which the first is the agenda-setting stage. Overtourism has developed well into the agenda-setting stage, but did not enter the policy-making stage at the EU level, and only very rudimentarily at the destination level. Therefore, it is not possible, nor desirable, to describe precise and exact policy measures because there is scarce empirical evidence to found such measures on.
The study highlights that while overcrowding is a well-known phenomenon primarily associated with negative experiences emerging from the presence of too many tourists at certain places and times, overtourism is a much broader and more complex phenomenon. In this study we adopt the following definition of overtourism:
Overtourism describes the situation in which the impact of tourism, at certain times and in certain locations, exceeds physical, ecological, social, economic, psychological, and/or political capacity thresholds.
While overcrowding is seen by the industry as an issue that mainly stands in the way of continued growth, the impacts of overtourism can represent an existential risk for destinations around the world. There are many examples where the cultural and natural heritage of a place is at risk, or where costs of living and real estate have substantially increased and caused a decline in quality of life. The spread of overtourism could cause the loss of authenticity and imply a significant risk to the future attractiveness of a destination. Uncontrolled tourism development can cause significant damage to landscapes, seascapes, air and water quality, as well as the living conditions of residents, causing economic inequalities and social exclusion, amongst many other issues.
Aim
This study aims to improve the understanding of the wider and more recent development of overtourism, to identify and assess the issues associated with it, and to propose policies and practices to mitigate its negative effects. The study involves an extensive literature review; the evaluation of 41 case studies; statistical analyses of selected overtourism factors (such as tourism density (bed-nights per km2) and tourism intensity (bed-nights per resident), Airbnb prevalence, airport proximity, cruise port availability, or UNESCO World Heritage Site status), as well as the critical analysis of relevant policy documents.
Description and overview of overtourism
Many overtourism issues are related to the (negative) perception of encounters between tourists, residents, entrepreneurs and varying tourist groups, due to the perception of high tourist numbers at certain times and places. Root causes of overtourism may relate to low transport costs and technology developments (i.e. digital platforms, social media). Although a lack of available data impedes a thorough analysis of the effects of social media platforms on overtourism, there is evidence of their role in causing concentration effects of visitor flows in time and space, as well as pushing additional growth in visitors’ arrivals.
One of the main results of this study is that the impacts of overtourism can be social, economic, as well as environmental. Perhaps not aligned with the image often portrayed in the media, the case studies’ analysis also suggests that the most vulnerable destinations are not necessarily cities, but rather coastal, islands and rural heritage sites.
An important complication of any assessment of overtourism is the lack of a commonly accepted set of indicators, hindering the effective evaluation of destinations that are at risk of overtourism or have already entered a ‘state of overtourism’. This study is a first attempt to relate a range of statistics at the NUTS 2 (second level of the Nomenclature of Territorial Units for Statistics) regional level to overtourism and to identify regions at risk. In total, over 290 regions were assessed, including 53 with at least one destination already confronted with overtourism. Indicators show widely varying levels for regions at the NUTS 2 level.
Findings from this study suggest that the most relevant indicators for overtourism are:
tourism density (bed-nights per km2) and intensity (bed-nights per resident);
the share of Airbnb bed capacity of the combined Airbnb and booking.com bed capacity;
the share of tourism in regional Gross Domestic Product (GDP); air travel intensity (arrivals by air divided by number of residents); and closeness to airport, cruise ports and UNESCO World Heritage Sites. Though the means and distributions of the indicator values differ significantly, there is a large overlap in values between the groups of regions with and without overtourism. Yet, it is difficult to assign a general value or threshold to an individual or combination of indicators that could serve as a predictor of overtourism. It is thus suggested to assess the risk of overtourism at the regional level. In the analysis, a preliminary number of 15 regions not currently recognised as destinations in a state of overtourism were identified as ‘at a high risk of overtourism’. These are the regions of Valencia, Andalucía and the Canarias in Spain, the regions of Languedoc-Roussillon and Bourgogne in France, the province of Trento in Italy, Madeira and the Algarve in Portugal, and the Ionic Isles and the Peloponnesus in Greece. The UK has five regions in the top-15 at risk of overtourism: Cumbria, Cornwall, West Wales and The Valleys, East Wales and North Yorkshire. Before any effective early warning tool can be implemented, comparable indicators and values must be identified in order to enable the assessment of a more comprehensive list of destinations at ‘risk of’ or ‘in a state of overtourism’. Still, the study provides a preliminary practical check list for destinations or regions to assess whether they may be at risk of overtourism based on a qualitative assessment
https://research4committees.blog/2019/01/17/overtourism-impact-and-possible-policy-responses/
Download the report here:
http://www.europarl.europa.eu/RegData/etudes/STUD/2018/629184/IPOL_STU(2018)629184_EN.pdf
Please refer to the report as:
Peeters, P., Gössling, S., Klijs, J., Milano, C., Novelli, M., Dijkmans, C., Eijgelaar, E., Hartman, S., Heslinga, J., Isaac, R., Mitas, O., Moretti, S., Nawijn, J., Papp, B. and Postma, A. (2018). Research for TRAN Committee - Overtourism: impact and possible policy responses. European Parliament, Policy Department for Structural and Cohesion Policies, Brussels.