Public Transportation Quality of Service: Factors, Models, and Applications is the first book to help researchers better understand the contributing factors that can improve public transportation perception among users. The book compiles in one place metrics currently dispersed in journal articles, government publications and book chapters. It critically analyzes currently available modeling methodologies such as the Ordered Logit/Probit model and Models of Structural Equations, highlighting their advantages and disadvantages. The book addresses models of desired quality, including the views of users and non-users, discussing the gap between desired and perceived quality.
The book also examines data mining approaches such as decision trees and neural networks, showing how to involve the public in the decision-making process to create policies that encourage public transport demand. Measuring passenger's views on public transportation is of critical concern to promote wider transit use in cities around the world.
He is a member of the Council of the Association for European Transport, Guest Editor of Transportation Research Part A: Policy and Practice and Procedia of Social and Behavioural Science, Editor of the Journal of Scientific Research and Reports, and Editorial Board Member of the Journal of Logistics and Operational Research. Has is Guest Editor of Transportation Research Part A: Policy and Practice and Procedia of Social and Behavioural Science. Juan de Ona, Professor of Transportation and Director of the Transportation and Safety Research Group, University of Cantabria. He's the author of more than 150 journal and conference publications. Rocio de Ona, Assistant Professor of Transportation, University of Granada. She has participated in numerous international research projects and is the author of more than 40 journal and conference publications on transit service quality, travel behavior, and road safety.
1. Introduction 2. How to study the perceived quality in public transport 3. Public participation techniques and choice of variables 4. Surveys 5. Geo-social differences in the perception of quality 6. Most basic methods 7. Methods based on random utility theory 8. Structural Equations Models 9. Data mining approaches 10. Beyond perceived quality: desired quality 11. Inclusion of quality criteria in public transport service contracts