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Understanding shared micromobility in China using massive user-generated trip data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding shared micromobility in China using massive user-generated trip data / by Yongping Zhang.
Author:	Zhang, Yongping.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xiii, 193 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	Chapter 1. The development of shared micromobility in China -- Chapter 2. Dynamic changes of the usage patterns of shared micromobility from 2020 to 2023 in Zhejiang Province, China -- Chapter 3. Revealing biking islands in cities using percolation theory -- Chapter 4. Estimating environmental benefit of bike-sharing using massive trip data -- Chapter 5. Assessing spatial equity of shared micromobility using various indicators -- Chapter 6. Identifying the relationship between shared micromobility and public transport -- Chapter 7. Developing 15-minute cities with the support of shared micromobility -- Chapter 8. A geofencing planning framework for shared micromobility.
Contained By:	Springer Nature eBook
Subject:	Cycling - China. -
Online resource:	https://doi.org/10.1007/978-981-96-8492-2
ISBN:	9789819684922

Understanding shared micromobility in China using massive user-generated trip data
Zhang, Yongping.

Understanding shared micromobility in China using massive user-generated trip data [electronic resource] /by Yongping Zhang. - Singapore :Springer Nature Singapore :2025. - xiii, 193 p. :ill. (chiefly col.), digital ;24 cm. - Urban sustainability,2731-6491. - Urban sustainability..

Chapter 1. The development of shared micromobility in China -- Chapter 2. Dynamic changes of the usage patterns of shared micromobility from 2020 to 2023 in Zhejiang Province, China -- Chapter 3. Revealing biking islands in cities using percolation theory -- Chapter 4. Estimating environmental benefit of bike-sharing using massive trip data -- Chapter 5. Assessing spatial equity of shared micromobility using various indicators -- Chapter 6. Identifying the relationship between shared micromobility and public transport -- Chapter 7. Developing 15-minute cities with the support of shared micromobility -- Chapter 8. A geofencing planning framework for shared micromobility.

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.

ISBN: 9789819684922

Standard No.: 10.1007/978-981-96-8492-2doiSubjects--Topical Terms:

3792343
Cycling
--China.

LC Class. No.: HE5739.C6

Dewey Class. No.: 388.34720951

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505 0 $a Chapter 1. The development of shared micromobility in China -- Chapter 2. Dynamic changes of the usage patterns of shared micromobility from 2020 to 2023 in Zhejiang Province, China -- Chapter 3. Revealing biking islands in cities using percolation theory -- Chapter 4. Estimating environmental benefit of bike-sharing using massive trip data -- Chapter 5. Assessing spatial equity of shared micromobility using various indicators -- Chapter 6. Identifying the relationship between shared micromobility and public transport -- Chapter 7. Developing 15-minute cities with the support of shared micromobility -- Chapter 8. A geofencing planning framework for shared micromobility.
520 $a 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.
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