Handbook of Mobility Data Mining, Volume 2 1st Edition

Grab the pulse of modern urban movement with Handbook of Mobility Data Mining, Volume 2 (1st Edition) by Haoran Zhang. This authoritative volume distills cutting-edge methods for extracting actionable insight from the vast streams of GPS, cellular, and sensor data that shape contemporary cities.

Explore a rich, practitioner-focused collection of techniques — from trajectory clustering and spatio-temporal pattern mining to deep-learning approaches, privacy-preserving analytics, and interactive visualization. Real-world case studies span metropolitan environments from Beijing and London to New York, Mumbai, and São Paulo, demonstrating how mobility analytics drive smarter transit planning, traffic management, ride-sharing optimization, and location-based services.

Perfect for researchers, data scientists, urban planners, GIS professionals, and public-sector policymakers, this handbook bridges theory and practice with clear algorithms, reproducible workflows, and application-ready strategies. Whether you’re building predictive models for commuter flow, designing equitable micro-mobility systems, or advancing academic research in spatio-temporal analytics, Zhang’s volume equips you with the tools and insights to make data-driven decisions across global urban contexts.

Packed with rigorous methodology and practical guidance, Handbook of Mobility Data Mining, Volume 2 is an essential reference for professionals shaping the future of smart cities and transport networks. Add this first-edition volume to your collection to stay at the forefront of mobility data science — an indispensable resource for anyone working on mobility challenges in North America, Europe, Asia, Latin America, and beyond. Order your copy today and transform raw movement data into strategic urban solutions.