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.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.