Improvement of Regional Spatial Interaction Based on Spatial Traffic System Accessibility: A Case Study in Shandong Province, China

  • Yu ZhangEmail author
  • Shouzhi Xu
  • Fengguang Kang
  • Shihua Yin
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 546)


In order to quantitatively analyze the spatial interaction among regions, a new approach on reconstruction of intercity spatial interactional model based on spatial traffic system accessibility was proposed in this paper. Multi-indicators were used to comprehensively measure urban quality instead of a single demographic or economic index. Time distance combined with traffic distance was made as the final distance instead of Euclidean distance. The coefficient of the model is modified considering the proportion of passenger quantity and freight capacity, and the shortest travel time and so on. And then an example of reconstruction of intercity gravity model in Shandong Province has been done. The results showed that Qingdao has the most comprehensive strength, while Jinan has the highest spatial interaction. Although the comprehensive development level of a city has a great influence on its radiation capacity, the accessibility of the transportation system between cities also plays a certain role. The results prove that traffic accessibility has a guide significance to the spatial interaction among regions, and the new model is fit for the actual than the older one. It is a reasonable and effective method to analysis and research the capability of spatial interaction among cities.


Spatial interaction Traffic system accessibility Gravity model Shandong Province City 



This study is supported by the National Natural Science Foundation of China (No. 71773117) and Basic Research Fund of Chinese Academy Surveying and Mapping (No. 7771718). We would also like to acknowledge Prof. Xizhi Wu with his generous support for this research.


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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Yu Zhang
    • 1
    Email author
  • Shouzhi Xu
    • 2
  • Fengguang Kang
    • 1
  • Shihua Yin
    • 3
  1. 1.Chinese Academy of Surveying and MappingBeijingChina
  2. 2.National Calibration Center for Surveying InstrumentsBeijingChina
  3. 3.Liaoning Technology UniversityFuxinChina

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