Assessment Of The Quality Of Passenger Transportation By Train Using Multiple Criteria Decision Making Methods
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Assessment of the Quality of Passenger Transportation by Train Using Multiple Criteria Decision Making Methods
This book presents a study of the rail travel process, where passengers under normal (non-emergency) conditions choose their own itinerary considering the offered timetable, travel expenses, comfort, potential risks, quality of service and other factors. Upon identifying many criteria that are critical for this kind of transport, the authors show how to use them to generate a multicriteria mathematical models to calculate the quality of the travel. The model is used to compare road, rail, and air transport alternatives against each other. The results are presented, together with the technical details to build up the model. This book is intended for students, researchers and decision makers working on the development and quality assessment of rail transport.
Assessment of the Quality of Passenger Transportation by Train Using Multiple Criteria Decision Making Methods
Author: Henrikas Sivilevičius
language: en
Publisher: Springer Nature
Release Date: 2025-04-15
This book presents a study of the rail travel process, where passengers under normal (non-emergency) conditions choose their own itinerary considering the offered timetable, travel expenses, comfort, potential risks, quality of service and other factors. Upon identifying many criteria that are critical for this kind of transport, the authors show how to use them to generate a multicriteria mathematical models to calculate the quality of the travel. The model is used to compare road, rail, and air transport alternatives against each other. The results are presented, together with the technical details to build up the model. This book is intended for students, researchers and decision makers working on the development and quality assessment of rail transport.
Reliability and Statistics in Transportation and Communication: Human Sustainability and Resilience in the Digital Age
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. It presents the most relevant findings discussed at the 24th International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat 2024), which took place as a hybrid event on September 25-28, 2024, in/from Riga, Latvia. The chapters span a broad spectrum of advanced theories and methods, with a special emphasis on smart technologies and algorithms for enhancing sustainability and resilience of transport systems in various sectors.