Developing Regional Strategies Based on Tourist Behaviour Analysis: A Multiple Criteria Approach

2018 ◽  
pp. 187-209 ◽  
Author(s):  
Pavlos Delias ◽  
Evangelos Grigoroudis ◽  
Nikolaos Matsatsinis
Keyword(s):  
Multiple Criteria ◽  
Behaviour Analysis ◽  
Regional Strategies ◽  
Tourist Behaviour

Digital pattern of life based tourist behaviour analysis system

2020 ◽  
Vol 5 ◽  
pp. 78-83
Author(s):  
S.A. Mikhailov ◽  
Keyword(s):  
Neural Networks ◽  
Tourism Industry ◽  
Data Sources ◽  
Tourist Behavior ◽  
Behaviour Analysis ◽  
Travel Experience ◽  
Digital Pattern ◽  
Analysis System ◽  
Tourist Behaviour ◽  
Tourism Services

The tourism industry has grown rapidly in recent years, and IT technology is also having a big impact on tourists. Tourism services, information generated by tourists and other sources can be used to build models of tourist behavior. These models can improve the travel experience in various ways. The author presents the system for analyzing tourist behavior based on the concept of a digital pattern of life. The system determines the tourist, possible data sources, ways of storing and presenting data, as well as tools for analyzing behavior. The author used artifi cial neural networks to analyze behavior from a dataset of tourist travels made with cars. One scenario of tourist behavior using artifi cial neural networks is presented. The collected results will be used for improving tourist services.

scholarly journals Tourist Behaviour Analysis Based on Digital Pattern of Life—An Approach and Case Study

2020 ◽  
Vol 12 (10) ◽  
pp. 165
Author(s):  
Sergei Mikhailov ◽  
Alexey Kashevnik
Keyword(s):  
Tourism Industry ◽  
Behaviour Analysis ◽  
Existing Problems ◽  
Digital World ◽  
Ontological Approach ◽  
Digital Pattern ◽  
Tourism Service ◽  
Tourist Behaviour ◽  
Behaviour Models ◽  
Behaviour Changes

The tourism industry has been rapidly growing over the last years and IT technologies have had a great affect on tourists as well. Tourist behaviour analysis has been the subject of different research studies in recent years. This paper presents the digital pattern of life concept which simplifies the tourist behaviour models’ construction and usage. The digital pattern of life defines the general concepts of tourist behaviour, connects the tourist and the digital world and allows us to track behaviour changes over time. A literature review of the current state of the research in selected fields is performed for identifying the existing problems. The case studies of behaviour analysis based on classification, clustering and time series events behaviour models are shown. An ontological approach and artificial neural networks are used during behaviour model construction, training and evaluation. The gathered results can be used by smart tourism service developers and business stakeholders.

scholarly journals A Big Data Analytics Method for Tourist Behaviour Analysis

2017 ◽  
Vol 54 (6) ◽  
pp. 771-785 ◽  
Author(s):  
Shah Jahan Miah ◽  
Huy Quan Vu ◽  
John Gammack ◽  
Michael McGrath
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Behaviour Analysis ◽  
Tourist Behaviour

Decision Behaviour, Analysis and Support

2009 ◽  
Author(s):  
Simon French ◽  
John Maule ◽  
Nadia Papamichail
Keyword(s):  
Behaviour Analysis

Evaluating tourist behaviour in sport mega-events through a structural equation model

2017 ◽  
pp. 101-126 ◽  
Author(s):  
Marcello Risitano ◽  
Rosaria Romano ◽  
Annarita Sorrentino ◽  
Michele Quintano
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Mega Events ◽  
Tourist Behaviour
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