Understanding Shared Micromobility in China Using Massive User-generated Trip Data

This book provides a data-driven analysis of shared micromobility in China. Both bike-sharing and e-bike-sharing are considered and several Chinese cities (e.g., Shanghai and Hangzhou) are selected as study cases. It adopts a variety of methods including GIS, big data analytics, social network analysis and machine learning, to support the analysis. The research topics cover travel characteristics of shared micromobility, external impacts of shared micromobility (e.g., the environmental and equity impacts and the relationship with 15-minute cities) and the planning issues of e-fences and bike lanes. This book is an invaluable read for undergraduate and graduate students who are interested in urban and transport planning, travel behaviour and shared micromobility. It can also be used by urban geographers, transport researchers, and general readers interested in the area of shared micromobility in China.