SCIENTIA GEOGRAPHICA SINICA ›› 2017, Vol. 37 ›› Issue (8): 1159-1169.doi: 10.13249/j.cnki.sgs.2017.08.005

• Orginal Article • Previous Articles     Next Articles

Urban and Rural Spatial Recognition and Analysis Based on Road Networks Segmentation: A Case Study of Beijing-Tianjin-Hebei

Guoliang Zhao(), Xinqi Zheng(), Fei Liu, Dongya Liu   

  1. School of Information Engineering, China University of Geosciences, Beijing 100083, China
  • Received:2016-10-08 Revised:2017-01-04 Online:2017-08-15 Published:2017-08-15
  • Supported by:
    Non-profit Industry Financial Program of Ministry of Land and Resources of China (201511010).

Abstract:

In recent years, urban expansion is grim with rapid urbanization in China. Border recognition for urban and rural space is the technical prerequisite of urban sprawl control. Existing urban-rural boundary identification methods could accurately extract the city boundaries in theory, but also has some difficulties including data acquisition, poor real-time and heavy workload. Therefore, we proposed an approach based road networks segmentation applied to quickly identify urban border in regional scale. The method was based on strong coupling link between road network and urban spatial structure. Rural patches and urban patches were generated with a geographic division of the road network. By calculating optimal solution of the evaluation accuracy with land use map, rural patches and urban patches were used to identify urban and rural space. Taking Jing-Jin-Ji as an example, the space of urban and rural area was extracted and the related accuracy was verified. Then this article analyzed the spatial pattern of urban and rural, characteristics of road network and economic efficiency of urban land. Results indicated that: 1) The extraction accuracy by this method is high, and it can be used for low-cost, fast and efficient identification for urban-rural space on regional scale; 2) Urban spatial distribution of Jing-Jin-Ji presented a significant differences of “bigger Beijing and Tianjin, smaller Hebei”, and characteristics of road network density presented three remarkable high-density region in Beijing, Tianjin and Shijiazhuang, exhibiting high coupling with urban spatial distribution; 3) The economic efficiency of urban land in Jing-Jin-Ji was generally good in 2015 and overall efficiency value in Shijiazhuang, Baoding and Chengde was poor and needed to further improve the efficiency of land use. In total, spatial identification for urban and rural based on road network data have an advantage from real-time data and relatively high computational efficiency, furtherly enriching the existing urban-rural boundary extraction methods.

Key words: urban-rural area, regional scale, road network, spatial analysis, Beijing-Tianjin-Hebei

CLC Number: 

  • F291