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.

Transport and the spatial location of population and activities have been important themes of study in engineering, social sciences and urban and regional planning for many decades. However, an integrated approach to the modelling of transport and land use has been rarely made, and common practice has been to model both phenomena independently.

This book presents an introduction to the modelling of land use and transport interaction (LUTI), with a theoretical basis and a presentation of the broad state of the art. It also sets out the steps for building an operational LUTI model to provide a concrete application. The authors bring extensive experience in this cross-disciplinary field, primarily for an academic audience and for professionals seeking a thorough introduction.

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.

Transport and the spatial location of population and activities have been important themes of study in engineering, social sciences and urban and regional planning for many decades. However, an integrated approach to the modelling of transport and land use has been rarely made, and common practice has been to model both phenomena independently.

This book presents an introduction to the modelling of land use and transport interaction (LUTI), with a theoretical basis and a presentation of the broad state of the art. It also sets out the steps for building an operational LUTI model to provide a concrete application. The authors bring extensive experience in this cross-disciplinary field, primarily for an academic audience and for professionals seeking a thorough introduction.