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Sinopsis
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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Acerca del autor
Yongping Zhang is a tenure-track assistant professor at the School of Public Affairs, Zhejiang University, China. He also serves as the deputy director of the ZJU-CMZJ Joint Lab on Data Intelligence and Urban Future, the director of the City+ Research Network, and the editorial board member of the Journal of Transport Geography. He has a research interest in urban big data analysis, smart cities, digital urban governance, sustainable transport and GIS, with a focus on understanding various urban issues by emerging quantitative methods and urban data sources. At present, he has published more than 40 peer-reviewed papers in international journals such as Applied Energy, Cities, Environment and Planning B, Journal of Transport Geography, and Sustainable Cities and Society. He received his PhD degree in Advanced Spatial Analysis from University College London (the UK). Before this, he obtained three master degrees: one in European Spatial Planning and Environmental Policy from Cardiff University (the UK), one in Environment and Society Studies from Radboud University Nijmegen (the Netherlands), and one in Urban and Regional Planning from Peking University (China). He obtained his bachelor degree in Geographic Information System (GIS) from Wuhan University (China).
De la contraportada
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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Understanding Shared Micromobility in China Using Massive User-Generated Trip Data (eng)
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Understanding Shared Micromobility in China Using Massive User-Generated Trip Data
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Neuware - 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. Nº de ref. del artículo: 9789819684915
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Understanding Shared Micromobility in China Using Massive User-Generated Trip Data
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Springer, Springer Nature Singapore Sep 2025, 2025
ISBN 10: 9819684919
ISBN 13: 9789819684915
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch. Nº de ref. del artículo: 9789819684915
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