Computational Intelligence & Knowledge-based Systems: Models, Algorithms & Applications – serie

Advanced Statistical Methods for Transportation Economics and Engineering presents recent advances and contemporary approaches in statistics, machine learning, and computational modeling, catered to the evolving demands of transportation systems. It analyses and interrogates smart statistical tools — like machine learning, time-series analysis, and spatial statistics — to help make sense of complex and heterogeneous transport systems.The fields of transportation economics and engineering are undergoing rapid transformation, driven by advancements in transportation systems, emerging technologies, and the imperative for sustainable solutions. To navigate these changes effectively, professionals and researchers require robust statistical tools to analyze the complex interplay of the economic, social, and engineering factors that are shaping modern transportation. Bridging the gap between theory and practice, this book emphasizes innovative approaches, interdisciplinary perspectives, and real-world applications. Emphasis is placed on interpretability and actionable results, ensuring that technical developments translate into practical improvements in transport systems.With contributions from a range of leading interdisciplinary experts and a plethora of real-world case studies, academics, practitioners, and policymakers in transport, sustainability, logistics, and urban planning will find within these pages a crucial resource for applying advanced analytical techniques to the numerous economic and engineering challenges shaping the future of transportation.