Big Data Support of Urban Planning and Management The Experience in China /

In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies fo...

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Corporate Author: SpringerLink (Online service)
Other Authors: Shen, Zhenjiang. (Editor, http://id.loc.gov/vocabulary/relators/edt), Li, Miaoyi. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Advances in Geographic Information Science,
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-51929-6
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505 0 |a Chapter 1: Overview: Big Data Support for Urban Planning and Management in China -- Part 1: Social Big Data for Exploring Human Behaviors and Urban Structure -- Chapter 2: Early Warning of Human Crowds Based on Query Data from Baidu Map: A Lesson from Shanghai Stampede -- Chapter 3: Research on Spatial Distribution Characteristics of Residents’ Emotions Based on Sina Weibo Big Data: A Case Study of Nanjing -- Chapter 4: Measuring by Movements: Hierarchical Clustering of Cities in China Based on Aggregated Massive Positioning Data -- Chapter 5: Assessment of Regional Economic Integration Based on Relational Data: The Case of the Yangtze River Delta -- Chapter 6: The Recognition of CAZ in Shanghai Based on Evaluated POI -- Chapter 7: The Fear of Ebola: A Tale of Two Cities in China -- Part 2: POI for Exploring Urban Space Recognition -- Chapter 8: Identifying and Evaluating Urban Centers for the Whole China Using Open Data -- Chapter 9: Geographic Big Data’s Applications in Retailing Business Market -- Chapter 10: Redefinition the Social Space Based on Social Atlas Analysis: A Case Study of Dongguan, China -- Chapter 11: The Spatial and Temporal Evolution of Innovative Function of Science and Technology of Beijing Based on the Analysis of Enterprise Data -- Part 3: Mobile Device Data for Integrating Land Use and Transportation Planning -- Chapter 12: Spatial Development Analysis of the Southern Area of Beijing Based on Multi-Source Data -- Chapter 13: Study on Population Dynamics and Mobility of Shanghai Based on Cell Phone Signaling Data -- Chapter 14: The Application of Big Data in the Study of Urban Spatial Structure -- Chapter 15: Application of Cellular Data in Traffic Planning -- Chapter16: Extract the Spatial-temporal Distribution of Transit Trips from Smart Card Transaction Data: A Comparison between Shanghai and Singapore -- Part 4: Cyber Infrastructure for Urban Management -- Chapter 17: Traffic Big Data and Its Application in Road Traffic Performance Evaluation-Illustrated by the Case of Shenzhen -- Chapter 18: Understanding Job-Housing Relationship from Cell Phone Data Based on Hadoop -- Chapter 19: Towards Mobility Turn in Urban Planning: Smart Travel Planning Based on Space-Time Behavior in Beijing, China -- Chapter 20: Observing and Quantifying Vitality of Dashilanr: An Automatic Human Activity Data Collection Experiment -- Chapter 21: Urban wind path planning based on meteorological and remote sensing data and GIS based ventilation analysis -- Chapter 22: A Synthesized Urban Science in the Context of Big Data and Cyber infrastructure. 
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650 2 4 |a Data Mining and Knowledge Discovery.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I18030 
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