Public Transportation Quality of Service

Informationen zum Autor Luigi Dell Olio 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. Klappentext 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. Inhaltsverzeichnis 1. Introduction2. How to study the perceived quality in public transport 3. Public participation techniques and choice of variables 4. Surveys5. Geo-social differences in the perception of quality6. Most basic methods 7. Methods based on random utility theory 8. Structural Equations Models 9. Data mining approaches10. Beyond perceived quality: desired quality11. Inclusion of quality criteria in public transport service contracts

Klappentext

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.

Inhalt

1. Introduction2. How to study the perceived quality in public transport3. Public participation techniques and choice of variables4. Surveys5. Geo-social differences in the perception of quality6. Most basic methods7. Methods based on random utility theory8. Structural Equations Models**9. Data mining approaches10. Beyond perceived quality: desired quality11. Inclusion of quality criteria in public transport service contracts