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Models and Applications of Tourists’ Travel Behavior

Buch | Softcover
250 Seiten
2025
Elsevier - Health Sciences Division (Verlag)
978-0-443-26593-8 (ISBN)
CHF 188,55 inkl. MwSt
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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.

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. 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. 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.

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

Erscheint lt. Verlag 2.6.2025
Verlagsort Philadelphia
Sprache englisch
Maße 152 x 229 mm
Themenwelt Sachbuch/Ratgeber Natur / Technik Fahrzeuge / Flugzeuge / Schiffe
Recht / Steuern EU / Internationales Recht
Recht / Steuern Privatrecht / Bürgerliches Recht Transportrecht
ISBN-10 0-443-26593-3 / 0443265933
ISBN-13 978-0-443-26593-8 / 9780443265938
Zustand Neuware
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