03502nam a22005415i 4500 978-981-97-8185-0 DE-He213 20251030114924.0 cr nn 008mamaa 250114s2024 si | s |||| 0|eng d 9789819781850 978-981-97-8185-0 10.1007/978-981-97-8185-0 doi GF RGC bicssc SOC015000 bisacsh RGC thema Zhou, Xingang. author. aut http://id.loc.gov/vocabulary/relators/aut 90267 Jobs-Housing Balance and Self-Containment Using Cellphone Big Data [electronic resource] : Case Studies in Shenzhen and Shanghai / by Xingang Zhou. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIX, 91 p. 38 illus., 23 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Urban Sustainability, 2731-6491 Introduction -- Literature Review -- Research Design... 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. Human geography. 58506 Big data. 57216 Quality of life. 62149 Human Geography. 58506 Big Data. 57216 Quality of Life Research. 66153 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819781843 Printed edition: 9789819781867 Printed edition: 9789819781874 Urban Sustainability, 2731-6491 69350 https://doi.org/10.1007/978-981-97-8185-0 ZDB-2-SLS ZDB-2-SXS 66412 66412