Jobs-Housing Balance and Self-Containment Using Cellphone Big Data: Case Studies in Shenzhen and Shanghai - Couverture rigide
Synopsis
This book addresses the analysis of self-containment of employment (SCE), which measures journey-to-work trips among the percentage of workers who work locally. The interconnections between MUI and SCE are examined in both industrial and commercial areas, to gauge the effect of the industrial-residential mix or commercial-residential mix on SCE.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Xingang Zhou, Associate Professor in the Department of Urban Planning, College of Architecture and Urban Planning in Tongji University. He has published many papers in top journals.
He got his Ph.D. of Urban Planning in Department of Urban Planning and Design in The University of Hong Kong. His research interests include the application of big data in urban planning and transport planning. He is also interested in applying GIS in urban planning.
Anthony GO Yeh, Chair Professor in Urban Planning and Geographic Information System (GIS) at the Department of Urban Planning and Design and the Director of the GIS Research Centre of the University of Hong Kong. He has published over 30 books and monographs and over 180 international journal papers and book chapters. He is an Academician of the Chinese Academy of Sciences and the Academy of Social Sciences in the U.K. He is also the President of the Asia GIS Association and was the Secretary General of the Asian Planning Schools Association.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Jobs-Housing Balance and Self-Containment Using Cellphone Big Data
Edité par
Springer, Berlin, Springer Nature Singapore, Tongji University Press Co., Ltd., Springer, 2025
ISBN 10 : 9819781841
ISBN 13 : 9789819781843
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the analysis of self-containment of employment (SCE), which measures journey-to-work trips among the percentage of workers who work locally. High SCE encourages the use of non-motorized transport and reduces transport-related energy consumption. In this book, mobile phone location data is employed to assess journey-to-work trips and explore spatial variations in SCE at multiple geographic scales. It finds that SCE is significantly higher in the suburbs than that in the central urban areas and tends to decrease as the spatial analysis unit shifts from the macro to the micro scale.The relationship between Jobs-housing balance is found to be more important in self-containment of employment for secondary-sector workers compared with that for tertiary-sector workers. Secondary-sector workers tend to reside near their workplaces because of relatively balanced jobs and housing, whereas tertiary-sector workers tend to reside farther away from their workplaces to save housing cost.A mixed-use index (MUI) in terms of employment is examined. The interconnections between MUI and SCE are examined in both industrial and commercial areas, to gauge the effect of the industrial-residential mix or commercial-residential mix on SCE.This book will enhance readers' understanding of the spatial variations in SCE at multiple scales. In addition, its investigation of the effect of mixed use on SCE will shed new light on the relationship between land use and journey-to-work patterns. 91 pp. Englisch. N° de réf. du vendeur 9789819781843
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Jobs-housing Balance and Self-containment Using Mobile-phone Big Data
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Springer Verlag GmbH, 2025
ISBN 10 : 9819781841
ISBN 13 : 9789819781843
Neuf
Couverture rigide
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Jobs-Housing Balance and Self-Containment Using Cellphone Big Data (Hardcover)
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Springer Verlag, Singapore, Singapore, 2025
ISBN 10 : 9819781841
ISBN 13 : 9789819781843
Neuf
Couverture rigide
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Hardcover. Etat : new. Hardcover. This book addresses the analysis of self-containment of employment (SCE), which measures journey-to-work trips among the percentage of workers who work locally. High SCE encourages the use of non-motorized transport and reduces transport-related energy consumption. In this book, mobile phone location data is employed to assess journey-to-work trips and explore spatial variations in SCE at multiple geographic scales. It finds that SCE is significantly higher in the suburbs than that in the central urban areas and tends to decrease as the spatial analysis unit shifts from the macro to the micro scale. The relationship between Jobshousing balance is found to be more important in self-containment of employment for secondary-sector workers compared with that for tertiary-sector workers. Secondary-sector workers tend to reside near their workplaces because of relatively balanced jobs and housing, whereas tertiary-sector workers tend to reside farther away from their workplaces to save housing cost.A mixed-use index (MUI) in terms of employment is examined. The interconnections between MUI and SCE are examined in both industrial and commercial areas, to gauge the effect of the industrial-residential mix or commercial-residential mix on SCE. This book will enhance readers understanding of the spatial variations in SCE at multiple scales. In addition, its investigation of the effect of mixed use on SCE will shed new light on the relationship between land use and journey-to-work patterns. This book addresses the analysis of self-containment of employment (SCE), which measures journey-to-work trips among the percentage of workers who work locally. The interconnections between MUI and SCE are examined in both industrial and commercial areas, to gauge the effect of the industrial-residential mix or commercial-residential mix on SCE. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789819781843
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Jobs-Housing Balance and Self-Containment Using Cellphone Big Data: Case Studies in Shenzhen and Shanghai (Urban Sustainability)
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Jobs-Housing Balance and Self-Containment Using Cellphone Big Data
Edité par
Springer, Springer Nature Singapore Jan 2025, 2025
ISBN 10 : 9819781841
ISBN 13 : 9789819781843
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the analysis of self-containment of employment (SCE), which measures journey-to-work trips among the percentage of workers who work locally. High SCE encourages the use of non-motorized transport and reduces transport-related energy consumption. In this book, mobile phone location data is employed to assess journey-to-work trips and explore spatial variations in SCE at multiple geographic scales. It finds that SCE is significantly higher in the suburbs than that in the central urban areas and tends to decrease as the spatial analysis unit shifts from the macro to the micro scale. The relationship between Jobs-housing balance is found to be more important in self-containment of employment for secondary-sector workers compared with that for tertiary-sector workers. Secondary-sector workers tend to reside near their workplaces because of relatively balanced jobs and housing, whereas tertiary-sector workers tend to reside farther away from their workplaces to save housing cost.A mixed-use index (MUI) in terms of employment is examined. The interconnections between MUI and SCE are examined in both industrial and commercial areas, to gauge the effect of the industrial-residential mix or commercial-residential mix on SCE.This book will enhance readers' understanding of the spatial variations in SCE at multiple scales. In addition, its investigation of the effect of mixed use on SCE will shed new light on the relationship between land use and journey-to-work patterns.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch. N° de réf. du vendeur 9789819781843
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Jobs-Housing Balance and Self-Containment Using Cellphone Big Data: Case Studies in Shenzhen and Shanghai (Urban Sustainability)
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Jobs-Housing Balance and Self-Containment Using Cellphone Big Data : Case Studies in Shenzhen and Shanghai
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10 : 9819781841
ISBN 13 : 9789819781843
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the analysis of self-containment of employment (SCE), which measures journey-to-work trips among the percentage of workers who work locally. High SCE encourages the use of non-motorized transport and reduces transport-related energy consumption. In this book, mobile phone location data is employed to assess journey-to-work trips and explore spatial variations in SCE at multiple geographic scales. It finds that SCE is significantly higher in the suburbs than that in the central urban areas and tends to decrease as the spatial analysis unit shifts from the macro to the micro scale.The relationship between Jobs-housing balance is found to be more important in self-containment of employment for secondary-sector workers compared with that for tertiary-sector workers. Secondary-sector workers tend to reside near their workplaces because of relatively balanced jobs and housing, whereas tertiary-sector workers tend to reside farther away from their workplaces to save housing cost.A mixed-use index (MUI) in terms of employment is examined. The interconnections between MUI and SCE are examined in both industrial and commercial areas, to gauge the effect of the industrial-residential mix or commercial-residential mix on SCE.This book will enhance readers' understanding of the spatial variations in SCE at multiple scales. In addition, its investigation of the effect of mixed use on SCE will shed new light on the relationship between land use and journey-to-work patterns. N° de réf. du vendeur 9789819781843
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Jobs-Housing Balance and Self-Containment Using Cellphone Big Data: Case Studies in Shenzhen and Shanghai (Urban Sustainability)
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Jobs-housing Balance and Self-containment Using Cellphone Big Data: Case Studies in Shenzhen and Shanghai
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