Models and Applications of Tourists' Travel Behavior

Erscheinungsjahr 2025
ISBN: 978-0-443-26593-8
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm

Models and Applications of Tourists’ Travel Behavior provides an overview of all possible approaches to modeling tourists’ travel behavior, helping readers decide which theoretical approach should be chosen depending on the available type of data. It focuses on the connection between traditional travel behavior theories and tourist studies and introduces specific tourist contexts in travel demand modelling. It goes beyond the theoretical background of tourist travel behavior modeling and offers a practical understanding for choosing the right model and sourcing the right data. The book begins with the role of transport in tourist’ travel behavior, then employs a literature review to establish the necessary background on the topic. It then goes on to describe theoretical approaches, descriptive approaches, and statistical approaches for modelling. It discusses choice models based on both Stated Preference Data and Revealed Preference Data. It concludes with chapters on machine learning methods. This book uniquely

focuses on modeling transport with regard to tourism, including mode choice, modelling waiting time, modelling delay, and more. A variety of readers will find this book a valuable resource: Educators can use it as a basis for courses on the quantification of tourists’ travel behavior; students will learn how to deal with modeling tourists’ travel choices; and researchers will benefit from a good starting point from where new models can be developed.

Autoren/Hrsg.

Pagliara, Francesca

Aria, Massimo

Mauriello, Filomena

Fachgebiete

• Sozialwissenschaften Sport | Tourismus | Freizeit Verkehr: Ratgeber, Sachbuch
• Rechtswissenschaften Wirtschaftsrecht Handels- und Gesellschaftsrecht Transport-, Fracht-, Speditions- und Seehandelsrecht

Inhaltsverzeichnis

1. Role of Transport in Tourists’ Behavior
2. Literature Review on Transport and Toruists’ Travel Choices
3. Theoretical Approach for Modeling Tourists’ Travel Behavior
4. Descriptive Approach for Modeling Tourists’ Travel Behavior
5. Statistical Approach for Modeling for Tourists’ Travel Behavior
6. Choice Models Based on Stated Preference (SP) Data
7. Choice Models Based on Revealed Preference (RP) Data
8. Machine Learning and Tourism
9. Uncovering Patterns in Tourist Behavior through Machine Learning Methods: Naive Bayes, ANN, SVM and Random Forest

Über Autor(innen)

Mauriello, Filomena
Filomena Mauriello is an Assistant Professor at the University of Naples Federico II. She obtained two PhDs, the first in "Engineering of hydraulic transport and territorial systems", the second in "Computational statistics." Her research focuses on Road Safety, regarding two main areas: study of drivers' behavior by analyzing the continuous driving profiles obtained through experiments in the simulated field or the real field; and analysis of road accidents through econometric and machine learning techniques. Recently, her research focused on the study of vulnerable users, such as pedestrians, motorcyclists and cyclists.

Aria, Massimo
Massimo Aria is Full Professor in Statistics for Social Sciences in the Department of Economics and Statistics at the University of Naples Federico II and has a Ph.D. in Computational Statistics. His main research fields are bibliometrics, science mapping, systematic literature reviews, statistical survey, and machine learning. He led several statistical surveys and data science projects in the economic, social, tourism, and healthcare fields. Massimo Aria is the author of over 100 scientific articles published in international journals and co-author of the Bibliometrix R-Package and its Biblioshiny web app which are considered the most complete and user-friendly science mapping software.

Pagliara, Francesca
Francesca Pagliara is Associate Professor in Transport Engineering at the Department of Civil, Architectural and Environmental Engineering of the University of Naples Federico II. She has been Visiting Professor at several European and non-European Universities and has participated in several research projects. Her main fields of research are the wider socio-economic impacts of high-speed rail systems, the analysis and quantification of the impact of the transportation system on the tourism market, public engagement in the transportation decision-making process, Transit Oriented Development Policies and Integrated Land-use/Transport models. She is currently Adjunct Professor at the International Railway Transportation Research Center of Silk Road of the Beijing Jiaotong University. She is author of academic books and of more than 100 papers.