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Spatial Integration Based on Big Data—A Case Study on the Integration of Nanjing and Ma’anshan

  • 2022
  • OriginalPaper
  • Chapter
Published in:
Authors
Xiaofeng Lou
Hong Zhang
Published in
Green Connected Automated Transportation and Safety
Publisher
Springer Singapore

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Abstract

The chapter delves into the spatial integration of Nanjing and Ma’anshan, leveraging big data to uncover the flow and connections of urban elements such as population, capital, and materials. Traditional methods, relying on static cross-sectional data, are found lacking in accuracy and timeliness. The study introduces a technical framework for analyzing multi-source big data, revealing the characteristics of integration at both regional and city levels. It evaluates the current state of integration and provides guidance for developing key areas, highlighting the potential of big data in advancing integrated planning and regional development strategies.
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previous chapter Vehicle Detection at Night Based on the Feature of Taillight and License Plate
next chapter A Method of Household Car Ownership Prediction Using Ordered Probit Model
Title
Spatial Integration Based on Big Data—A Case Study on the Integration of Nanjing and Ma’anshan
Authors
Xiaofeng Lou
Hong Zhang
Copyright Year
2022
Publisher
Springer Singapore
Book
Green Connected Automated Transportation and Safety

Print ISBN: 978-981-16-5428-2

Electronic ISBN: 978-981-16-5429-9

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-16-5429-9_56
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