Tracking Tourism Waves: Insights from Automatic Identification System (AIS) Data on Maritime–Coastal Activities

The demand for maritime–coastal tourism has been intensifying, but its offerings are sometimes limited to a few activities. Some of these activities do not require specific skills or certifications, while others do. This study aimed to investigate what type of activities are carried out by tourism and recreational vessels in the coastal area of the central Algarve (Portugal). To this end, data from the automatic identification system (AIS) of recreational vessels was used to monitor and categorise these activities in a non-intrusive manner. A model (TORMA) was defined to facilitate the analysis of AIS data and relate them to five independent variables (distance from the coast, boat speed, bathymetry, seabed type, and number of pings). The results of the analysis of more than 11 thousand hourly AIS records for passenger, sailing, and charter vessels showed that the 14 most regular ones had strong seasonal patterns, greater intensity in summer, and spatial patterns with more records near some coastal cliffs. This study provides valuable information on the management of motorised nautical activities near the coast and at sea, contributing to more informed and effective tourism regulation and planning.

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Publication Details

Journal
Tourism and Hospitality
Published
2025-05-31
DOI
https://doi.org/10.3390/tourhosp6020099
Primary Topic
Cruise Tourism Development and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Tracking Tourism Waves: Insights from Automatic Identification System (AIS) Data on Maritime–Coastal Activities

Jorge Ramos, Benjamin Drakeford, Francisco Leitão, Ana Madiedo et al.
Tourism and Hospitality
Cruise Tourism Development and Management
article

Tracking Tourism Waves: Insights from Automatic Identification System (AIS) Data on Maritime–Coastal Activities

Jorge Ramos, Benjamin Drakeford, Francisco Leitão, Ana Madiedo, Joana Costa
article en

Abstract

The demand for maritime–coastal tourism has been intensifying, but its offerings are sometimes limited to a few activities. Some of these activities do not require specific skills or certifications, while others do. This study aimed to investigate what type of activities are carried out by tourism and recreational vessels in the coastal area of the central Algarve (Portugal). To this end, data from the automatic identification system (AIS) of recreational vessels was used to monitor and categorise these activities in a non-intrusive manner. A model (TORMA) was defined to facilitate the analysis of AIS data and relate them to five independent variables (distance from the coast, boat speed, bathymetry, seabed type, and number of pings). The results of the analysis of more than 11 thousand hourly AIS records for passenger, sailing, and charter vessels showed that the 14 most regular ones had strong seasonal patterns, greater intensity in summer, and spatial patterns with more records near some coastal cliffs. This study provides valuable information on the management of motorised nautical activities near the coast and at sea, contributing to more informed and effective tourism regulation and planning.

Tourism and HospitalityVol. 6(2)
University of Portsmouth (GB), University of Algarve (PT)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 87%
Cruise Tourism Development and Management
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Tracking Tourism Waves: Insights from Automatic Identification System (AIS) Data on Maritime–Coastal Activities — Jorge Ramos, Benjamin Drakeford, et al. · Tourism and Hospitality (2025) | TGRS Research Map | TGRS