Reliable Decision-Making for Sustainable Transportation

About the book

Key Features

Introduces reliability concepts in decision-making, providing insights into the robustness of strategic choices for sustainable transportation Presents practical case studies within the transportation sector to illustrate the application of reliability principles in decision-making, offering tangible solutions to everyday challenges Provides reliable strategies for existing public transportation systems, considering the unique challenges faced by investment departments and engineers in the planning process.

Description

Reliable Decision-Making for Sustainable Transportation explores decision-making methods that incorporate expert and decision-maker opinions for improved reliability. The book examines fuzzy sets that capture ambiguity and enable a more comprehensive analysis of stakeholder perspectives, focusing on transportation case studies to demonstrate techniques for weighing criteria, ranking alternatives, and selecting optimal and reliable decisions. It seeks to advance transportation planning, traffic engineering, road safety, and sustainability by integrating state-of-the-art decision support systems that leverage AI and multiple stakeholder viewpoints. This approach will benefit researchers and professionals across transportation, decision sciences, supply chain management, and operations looking for innovative ways to model uncertainty and decision-maker reliability and providing methodologies and frameworks for more robust group decisions.

Table of contents

Chapter 1. An overview of group decision-making reliability for sustainable transportation

Chapter 2. Citizen participation and transport sustainability: a reliable analytic hierarchy process model under fuzzy ZE-numbers

Chapter 3. Leveraging blockchain technology for real-time decision-making to enhance supply chain sustainability and logistics resilience

Chapter 4. Blockchain-enabled decision system for reliable transportation planning in reverse logistics networks

Chapter 5. Assessment of relief transport challenges in areas with outdated infrastructure based on the reliability concept of ZE numbers

Chapter 6. Decision support reliability under fuzzy ZE-numbers in urban climate change policy for transportation activities

Chapter 7. Consolidating perspectives of experts and decision-makers by fuzzy ZE-TOPSIS for sustainable urban transportation

Chapter 8. Assessment of perishable goods transportation challenges using decision-making under fuzzy ZE-numbers

Chapter 9. Fuzzy ZE-VIKOR for estimating sustainable mobility system

Chapter 10. Enhancing urban transportation by shared mobility solutions surveyed with fuzzy ZE-based decision-making

Chapter 11. Artificial intelligence techniques in road safety for sustainable mobility: an investigation into applications, challenges, and opportunities