Print Email Facebook Twitter Constructing Transit Origin-Destination Matrices using Spatial Clustering Title Constructing Transit Origin-Destination Matrices using Spatial Clustering Author Luo, D. (TU Delft Transport and Planning) Cats, O. (TU Delft Transport and Planning) van Lint, J.W.C. (TU Delft Transport and Planning) Date 2017 Abstract So-called tap-in–tap-off smart card data have become increasingly available and popular as a result of the deployment of automatic fare collection systems on transit systems in many cities and areas worldwide. An opportunity to obtain much more accurate transit demand data than before has thus been opened to both researchers and practitioners. However, given that travelers in some cases can choose different origin and destination stations, as well as different transit lines, depending on their personal acceptable walking distances, being able to aggregate the demand of spatially close stations becomes essential when transit demand matrices are constructed. With the aim of investigating such problems using data-driven approaches, this paper proposes a k-means-based station aggregation method that can quantitatively determine the partitioning by considering both flow and spatial distance information. The method was applied to a case study of Haaglanden, Netherlands, with a specified objective of maximizing the ratio of average intra-cluster flow to average inter-cluster flow while maintaining the spatial compactness of all clusters. With a range of clustering of different K performed first using the distance feature, a distance-based metric and a flow-based metric were then computed and ultimately combined to determine the optimal number of clusters. The transit demand matrices constructed by implementing this method lay a foundation for further studies on short-term transit demand prediction and demand assignment. To reference this document use: http://resolver.tudelft.nl/uuid:3cff03e8-508f-4ad4-b109-a7c9fe8d8a75 DOI https://doi.org/10.3141/2652-05 ISSN 0361-1981 Source Transportation Research Record, 2652, 39-49 Event 96th Annual Meeting of the Transportation Research Board, 2017-01-08 → 2017-01-12, Walter E. Washington Convention Center, Washington, United States Part of collection Institutional Repository Document type journal article Rights © 2017 D. Luo, O. Cats, J.W.C. van Lint Files PDF Luo_et_al_2017_TRR.pdf 2.84 MB Close viewer /islandora/object/uuid:3cff03e8-508f-4ad4-b109-a7c9fe8d8a75/datastream/OBJ/view