Algarve hotel price determinants: A hedonic pricing model

IP Soler, G Gemar, MB Correia, F Serra - Tourism Management, 2019 - Elsevier
This study sought to assess customers' willingness to pay for a wide variety of characteristics
and attributes of hotels in Portugal's Algarve region. After collecting nearly all the information …

Hybrid SVR-SARIMA model for tourism forecasting using PROMETHEE II as a selection methodology: a Philippine scenario

DPM Abellana, DMC Rivero, ME Aparente… - Journal of Tourism …, 2021 - emerald.com
Purpose This paper aims to propose a hybrid-forecasting model for long-term tourism
demand forecasting. As such, it attempts to model the tourism demand in the Philippines …

Challenge for planning by using cluster methodology: The case study of the algarve region

D Bienvenido-Huertas, F Farinha, MJ Oliveira… - Sustainability, 2020 - mdpi.com
This study analyses the most appropriate methodology to make similarity classifications
among the cities of the Algarve (Portugal) according to 105 sustainability indicators …

Development of Hainan Cruise Tourism Industry Based on Big Data Tourism Demand Forecast

X Yang, L Chen - International Conference On Signal And Information …, 2021 - Springer
As our country's largest special economic zone and province with the largest sea area,
Hainan has always been at the forefront of land acquisition and is the pioneer area of our …

Gestão Municipal de Resíduos Urbanos um Diagnóstico para a Região do Algarve

ALV Custódio - 2020 - search.proquest.com
Embora a Gestão Municipal de Resíduos Urbanos seja amplamente abordada a nível
nacional, estudos que contribuam para a Gestão de Resíduos Urbanos (GRU), em …

Previsões das Dormidas em Hotéis de três Regiões de Portugal

MPCD da Silva - 2021 - search.proquest.com
This Master's work has as its variable of study overnight stays in hotels in three Portuguese
regions-Algarve, Metropolitan Area of Lisbon (AML) and Madeira-seeking to develop …

[引用][C] Previsao de biotoxinas marinhas em moluscos bivalves baseada em aprendizagem automática

LS da Silva Ramalheira - 2019