Zhong S. Logic-Driven Traffic Big Data Analytics...2022 torrent

Textbook in PDF format

This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.
Logic-Driven Traffic Big Data Analytics: An Introduction
A Spatio-temporal Distribution Model for Determining Origin–Destination Demand from Multisource Data
Spatiotemporal Evolution of Ridesourcing Markets Under the New Restriction Policy: A Case Study in Shanghai
A Regression Discontinuity-Based Approach for Evaluating the Effect of Exclusive Bus Lanes on Average Vehicle Speeds
Analyzing Spatiotemporal Congestion Pattern on Urban Roads Based on Taxi GPS Data
Travel Time Estimation Based on Built Environment Attributes and Low-Frequency Floating Car Data
Exploring the Spatially Heterogeneous Effects of Urban Built Environment on Road Travel Time Variability
Taxi Driver Speeding: Who, When, Where and How? A Comparative Study Between Shanghai and New York
Effects of Congestion on Drivers’ Speed Choice: Assessing the Mediating Role of State Aggressiveness Based on Taxi Floating Car Data
Analysis of the Spatio-temporal Distribution of Traffic Accidents Based on Urban Built Environment Attributes and Microblog Data
Taxi Hailing Choice Behavior and Economic Benefit Analysis of Emission Reduction Based on Multi-mode Travel Big Data
Assessing Built Environment and Land Use Strategies from the Perspective of Urban Traffic Emissions: An Empirical Analysis Based on Massive Didi Online Car-Hailing Data