Spatial Development Analysis of the Southern Area of Beijing Based on Multisource Data

  • Wenqi LinEmail author
  • Liang Ma
  • Qiao Chu
  • Yong Gao
Part of the Advances in Geographic Information Science book series (AGIS)


The Action Plan of Promoting the Development of Southern Area of Beijing has been implemented by the local government since 2009. How this action plan influences the southern area of Beijing and what lessons we can draw from this experience are required to be assessed before schemes can be discussed for the next stage. This chapter is proposed to provide multidimensional analysis on the development path and existing problems of the southern area of Beijing. Permanent population, property price, infrastructure construction and utilization, and relative popularity of space units to different transport modes are considered based on multisource data, such as taxi GPS data, transit smart card data, secondhand property pricing data, and demographic data of Beijing. The Action Plan of Promoting the Development of Southern Area of Beijing is proved to stimulate the growth of the southern area in this chapter. However, the southern area is still below average in many aspects, such as the spatial structure and the economy vitality, which does not meet the targets stated in related documents.


Spatial analysis Data-oriented analysis Decision-making support system The Action Plan of Promoting the Development of Southern Area of Beijing 


  1. Beijing Development and Reform Commission. (2009). Report of the action plan of promoting the development of southern area of Beijing: A future vibrant area in new Beijing. Frontline, 12, 29–31.Google Scholar
  2. Beijing Development and Reform Commission, The Second Stage Action Plan of Promoting the Development of Southern Area of Beijing (2013–2015). Available:
  3. Bram, J., & Mckay, A. (2005). Evolution of commuting patterns in the New York City metro area[J]. Current Issues Econ Finance, 11, 1–7.Google Scholar
  4. Gao, Z., Tang, X., & Zhao, B. (2014). The application of mobile signalling data in urban planning: A case study of Chongqing urban and suburban integrated planning. Chongqing Mountainous Region Planning.Google Scholar
  5. Hillier, B., & Hanson, J. (1984). Social logic of space. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  6. Leng, B., & Zhao, W. (2014). Region ridership characteristic clustering using passenger glow data. Journal of Computer Research and Development, 51(12), 2653–2662.Google Scholar
  7. Li, Y. (2009). Research in assessment indicator system of urban network based on space syntax theory. Central South University.Google Scholar
  8. Wang, J., Mao, Q., & Dang, A. (2008). An evolution model of Beijing— A discussion on the evolution of Urban Spatial and functional patterns based on space syntax. Journal of Urban Planning, 21(3), 82–88.Google Scholar
  9. Wang, J., Li, C., Xiong, Z., & Shan, Z. (2014). Survey of data-centric smart city. Journal of Computer Research & Development, 51(2), 239–259.Google Scholar
  10. Wang, D., Wang, C., Xie, D., et al. (2015). Comparison of retail trade areas of retail centers with different hierarchical levels: A case study of East Naning Road, Wujiaochang, Anshan Road in Shanghai. Journal of Urban Planning, 3, 50–60.Google Scholar
  11. Yang, X. (2012, April). Action of South Beijing: Rebuild a new South Beijing. Beijing Daily.Google Scholar
  12. Zhang, H. (2010). South Beijing: Move to the rapid development. China Real Estate Market, Z1, 110–111.Google Scholar
  13. Zhao, F. (2013). Review the South Beijing at the final year. Beijing Investment, 67–70.Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Key Laboratory of Urban-Rural Eco Planning & Green Building, Ministry of EducationTsinghua UniversityBeijingChina
  2. 2.Beijing Tsinghua Tongheng Urban Planning & Designing InstituteBeijingChina
  3. 3.Beijing Branch of Shenzhen Urban Transport Planning CenterBeijingChina

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