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Analysis of the Cycling Flow Between Origin and Destination for Dockless Shared Bicycles Based on Singular Value Decomposition

by Min Cao 1,2,3, Boqin Cai 1,2,3, Shangjing Ma 1,2,3, Guonian Lü 1,2,3 and Min Chen 1,2,3,*
1
Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China
2
State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing 210023, China
3
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(12), 573; https://doi.org/10.3390/ijgi8120573
Received: 18 October 2019 / Revised: 28 November 2019 / Accepted: 9 December 2019 / Published: 11 December 2019
Recently, an increasing number of cities have deployed bicycle-sharing systems to solve the first/last mile connection problem, generating a large quantity of data. In this paper, singular value decomposition (SVD) was used to extract the main features of the cycling flow from the origin and destination (OD) data of shared bicycles in Beijing. The results show that (1) pairs of OD flow clusters can be derived from the pairs of vectors after SVD, and each pair of clusters represents a small part of an area with dockless shared bicycles; (2) the spatial clusters derived from the top vectors of SVD are highly coincident with the hot spot areas in the heatmap of shared bicycles; (3) approximately 30% of the study area accounts for nearly 80% of bike riding; (4) nearly 70% of the clustered area derived from the top 1000 vectors of SVD is associated with subway stations; and (5) the types of point of interest (POI) differ between the origin area and destination area for the clustered area of the top 1000 vectors. View Full-Text
Keywords: singular value decomposition (SVD); dockless bicycle sharing; origin and destination (OD); OD flow singular value decomposition (SVD); dockless bicycle sharing; origin and destination (OD); OD flow
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Cao, M.; Cai, B.; Ma, S.; Lü, G.; Chen, M. Analysis of the Cycling Flow Between Origin and Destination for Dockless Shared Bicycles Based on Singular Value Decomposition. ISPRS Int. J. Geo-Inf. 2019, 8, 573.

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