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Spatio-Temporal Change Characteristics of Spatial-Interaction Networks: Case Study within the Sixth Ring Road of Beijing, China

College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
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ISPRS Int. J. Geo-Inf. 2019, 8(6), 273; https://doi.org/10.3390/ijgi8060273
Received: 26 April 2019 / Revised: 24 May 2019 / Accepted: 5 June 2019 / Published: 12 June 2019
(This article belongs to the Special Issue Human-Centric Data Science for Urban Studies)
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Abstract

Spatial-interaction networks are an important factor in geography that could help in the exploration of both human spatial-temporal behavior and the structure of urban areas. This paper analyzes changes in the spatio-temporal characteristics of the Spatial-Interaction Networks of Beijing (SINB) in three consecutive steps. To begin with, we constructed 24 sequential snapshots of spatial population interactions on the basis of points of interest (POIs) collected from Dianping.com and various taxi GPS data in Beijing. Then, we used Jensen–Shannon distance and hierarchical clustering to integrate the 24 sequential network snapshots into four clusters. Finally, we improved the weighted k-core decomposition method by combining the complex network method and weighted distance in a geographic space. The results showed: (1) There are three layers in the SINB: a core layer, a bridge layer, and a periphery layer. The number of places greatly varies, and the SINB show an obvious hierarchical structure at different periods. The core layer contains fewer places that are between the Second and Fifth Ring Road in Beijing. Moreover, spatial distribution of places in the bridge layer is always in the same location as that of the core layer, and the quantity in the bridge layer is always superior to that in the core layer. The distributions of places in the periphery layer, however, are much greater and wider than the other two layers. (2) The SINB connected compactly over time, bearing much resemblance to a small-world network. (3) Two patterns of connection, each with different connecting ratios between layers, appear on weekdays and weekends, respectively. Our research plays a vital role in understanding urban spatial heterogeneity, and helps to support decisions in urban planning and traffic management. View Full-Text
Keywords: spatial-interaction network; change characteristic; snapshot; weighted k-core decomposition spatial-interaction network; change characteristic; snapshot; weighted k-core decomposition
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Yang, J.; Yi, D.; Qiao, B.; Zhang, J. Spatio-Temporal Change Characteristics of Spatial-Interaction Networks: Case Study within the Sixth Ring Road of Beijing, China. ISPRS Int. J. Geo-Inf. 2019, 8, 273.

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