£113.74

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Springer Jobs-Housing Balance Using Cellphone Big Data - Springer

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Description

This Springer academic publication explores jobs-housing balance and self-containment patterns in major Chinese cities through innovative cellphone big data analysis. The book presents detailed case studies focused on Shenzhen and Shanghai, examining how telecommunications data reveals commuting patterns, residential-employment relationships, and urban spatial dynamics. Ideal for urban planners, researchers, and professionals in sustainable city development, this work bridges database technology with practical urban sustainability applications. The analysis demonstrates how mobile phone data can uncover previously hidden patterns in how workers and residents interact across metropolitan areas, offering evidence-based insights for improving urban livability and reducing transportation strain.

Key Features

Springer publication presenting case studies in Shenzhen and Shanghai using advanced cellphone big data methodology.

Focuses on jobs-housing balance and self-containment metrics essential for sustainable urban planning and development.

Combines database analysis techniques with real-world urban sustainability challenges in major metropolitan centres.

Provides researchers and city planners with evidence-based data on commuting patterns and residential-employment distribution.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 January 2026
Listed Since
21 January 2026

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