Analysis of the Accommodation Density in Coastal Tourism Areas of Insular Destinations from the Perspective of Overtourism

Abstract

Accommodation saturation is transcendental in island destinations; especially when we include it in the sustainability paradigm. A coastal tourism area is considered saturated when tourists feel the area is overbuilt. This can lead to unpleasant experiences that decrease tourist satisfaction—diminishing the competitiveness of the destination. This issue is especially relevant in insular areas. However, estimating optimal levels of accommodation density is complex, with many conceptual, methodological and operational controversies. Moreover, there is a lack of measurement data and assessment standards at the micro-local scale. The main objective of this paper is to analyse tourist accommodation density because it is commonly used to measure the level of saturation in urban coastal tourism areas. The intention is to identify from the perspective of overtourism, the weaknesses of using tourist accommodation density as a parameter to assess the urban saturation of coastal tourism areas located in the destination, the Canary Islands, Spain. A systematic method of observation and interpretation is employed to examine the use of density indicators and assess their efficiency. The main conclusion is to determine the optimal accommodation density. In order to achieve this, we must consider more than just the pressure and condition indicators; we also have to examine other related responses to the behaviour of the demand and, more specifically, the level of satisfaction of the tourists. The objective of this work is to evaluate the weaknesses of using tourist bed places as an indicator of the level of saturation in a coastal tourism area.

Changes of tourism in Croatia in the post-socialist period

“…Tourism Density Index (Vojnovic, 2018), Schneider's Rate (Gogonea et al, 2017;Hacia, 2014), Tourist Accommodation Density Index (Markovic et al, 2017;Simancas Cruz, Penarrubia Zaragoza, 2019), Baretje-Defert's Index (Podhorecka, Dudek, 2019), Average Length of Stay (Duro, 2018), Accommodation Development Index (Wiweka, Arcana, 2016) and Charvát Index (Przybyla, Kulczyk-Dynowska, 2017;Stefko et al, 2018) were used in this paper. Presenting the structure of each of them is pointless because they are commonly used indicators in the description of tourist traffic and tourism development and their construction has been repeatedly described in the literature (Wiskulski, 2019).…”

Tourist Experiences at Overcrowded Attractions: A Text Analytics Approach

“…The perceived service quality decreases due to insufficient staff and facilities available for tourists [ 30 ]. Also, there is a relationship between perceived value, congestion, and tourist satisfaction [ 31 ]. Yet, other studies have pointed out some of the positive viewpoints.…”

Measuring Overtourism: A Necessary Tool for Landscape Planning

“…There are few papers which have created specific indicators to measure overtourism [7,8,14]. The remaining papers either apply existing indicators to their area or simply reflect already published data.…”

“…Other works calculate beds per resident, but do not name the index in the same way: Muler et al [33] speak of the tourism function index and Baños et al [15] of the tourism specialisation index. Although most focus on the supply of regulated accommodation, some papers have also calculated the supply of unregulated accommodation and second homes [14,31]. To ascertain the pressure of second homes, Carballo et al [16] calculate the ratio between the total number of properties and the resident population.…”