The question
Which interventions can a destination management organisation use to avoid overcrowding, and how should they be chosen according to visitor pressure and visitors' willingness to change their behaviour?
The method
Conceptual article: review of the literature on destination management organisations, smart destinations, nudging and recommender systems, and proposal of a two-axis framework (visitor pressure and visitor responsiveness) derived from applied research projects; no empirical validation.
What the study finds
- The model arranges five types of intervention in order of increasing intensity: neutral information, nudges and recommendations, pricing, reservation and, as a last-resort emergency step, closing access.
- The authors define visitor pressure as the number of people per unit of time or space, relative to the place's designated capacity; it follows that the same number of visitors weighs more when concentrated in a short time or a small area.
- According to the model, information alone, even on real-time crowding, only works when visitors are very willing to change plans and pressure is low; when pressure is high and willingness is low, the next step is nudges and recommendations, then stronger measures.
- Reservation is presented as potentially very effective, since only those who have booked get in, but it requires physical access-control systems and digital platforms; the authors suggest that after three years of pandemic most visitors are used to such procedures.
- Among examples of digital tools in use, the authors cite a Dubrovnik app that forecasts tourist numbers using cruise arrivals among other inputs, and a Palma de Mallorca app designed to spread out cruise passengers using data from the port and city Wi-Fi network.
- The authors state that the model does not rest on empirical evaluations, because none exist, and offer it as a guide for future evaluation; they also note that no recommender system yet exists that uses sensor data on crowding at points of interest.
For cities facing cruise passenger peaks, the model proposes a gradual ladder of responses, from information to reservation, to be chosen according to how intense the pressure is and how willing visitors are to change their plans. It can help set coherent policies before resorting to emergency closures, bearing in mind that the effectiveness of each intervention has not yet been tested.
Limitations
Purely conceptual and not empirically validated; it does not deal specifically with cruises (mentioned only in examples), and visitor responsiveness remains hard to measure.
Schmücker, D., Reif, J., Horster, E., Engelhardt, D., Höftmann, N., Naschert, L., Radlmayr, C. (2023). The INPReS Intervention Escalation Framework for Avoiding Overcrowding in Tourism Destinations. Tourism and Hospitality, 4, pp. 282–292 (MDPI).
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