Mobility as a Service (MaaS) and Travel Behaviour by Preston, John; Ouelhadj, Djamila;

Short description:

Mobility as a Service (MaaS) and Travel Behaviour: Integrating Human Factors, Transport Planning and Engineering is an essential resource for academics and researchers in human factors, transportation planning, urban development, and policymaking who seek to understand the complexities of MaaS implementation.

Long description:

Mobility as a Service (MaaS) has the potential to transform the way we approach transportation. By offering an integrated platform for planning, booking, navigating, and paying for journeys, MaaS promotes sustainable transport options such as public transit, cycling, and walking, reducing reliance on private vehicles. This book explores the transformative potential of MaaS for urban mobility, emphasizing the importance of placing human needs and experiences at the forefront of system design.

The book provides a comprehensive exploration of how human factors techniques can enhance the design and implementation of MaaS systems, while integrating traditional transportation planning and engineering methods. It applies the double diamond design process across four key stages—Discover, Define, Develop, and Deliver—to approach MaaS as a socio-technical system. Additionally, the book offers a global review of MaaS governance and regulation, featuring the Solent Breeze app as a case study to showcase successful strategies and lessons learned. Readers will gain insights into creating effective and accessible transportation networks that place users at the heart of the design process.

Mobility as a Service (MaaS) and Travel Behaviour: Integrating Human Factors, Transport Planning and Engineering is an essential resource for academics and researchers in human factors, transportation planning, urban development, and policymaking who seek to understand the complexities of MaaS implementation.

Table of Contents:

Part 1: Discover – Barriers and Incentives. 1. Gender and Mobility as a Service: The State of the Art. 2. Insights From a Workplace Travel Survey. 3. Focus Groups on MaaS: Age, Gender and Place. 4. What Do People Want? A MaaS User Requirements Questionnaire. 5. Mobility Credits. Part 2: Define – Iterative Inclusive Design. 6. User-Centred Ecological Interface Design. 7. Designing MaaS Interfaces for Sustainable Travel: A Systems Thinking Approach Using Cognitive Work Analysis. 8. Heuristics Analysis. 9. User Testing. Part 3: Develop – Inclusivity and Optimisation. 10. Accessible and Inclusive Mobility as a Service: A Multi-Criteria Decision-Making Evaluation Framework. 11. Multi-Modal Journey Planning and Optimisation for MaaS. Part Four: Deliver – Travel behaviour change modelling, monitoring and evaluation.12. Mode Preference and Willingness to Pay for Single-Mode and Multi-Modal Journeys in the Solent Area. 13. Travel Behaviour Analysis with Revealed Preference Data.14.Travel Behaviour Change Insights from Focus Groups. 15. Mode Choice Analysis and Modal Shift of MaaS Users. 16. Mobility as a Service User Clustering Through Gaussian Mixture Modelling and Analysis of the Contributing Factors.17. Explainable Machine Learning to Predict MaaS Users’ Mode Choices Between Private Car and Sustainable Transport.18. Programme-Level Impact Evaluation. 19. Programme-Level Process Evaluation. 20. Governance and Regulation. 21.Conclusions.