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Ruben Verborgh

Geospatially Partitioning Public Transit Networks for Open Data Publishing

by Harm Delva, Julián Rojas Meléndez, Pieter Colpaert, and Ruben Verborgh

Public transit operators often publish their open data in a data dump, but developers with limited computational resources may not have the means to process all this data efficiently. In our prior work we have shown that geospatially partitioning an operator’s network can improve query times for client-side route planning applications by a factor of 2.4. However, it remains unclear whether this works for all network types, or other kinds of applications. To answer these questions, we must evaluate the same method on more networks and analyze the effect of geospatial partitioning on each network separately. In this paper we process three networks in Belgium: (i) the national railways, (ii) the regional operator in Flanders, and (iii) the network of the city of Brussels, using both real and artificially generated query sets. Our findings show that on the regional network, we can make query processing 4 times more efficient, but we could not improve the performance over the city network by more than 12%. Both the network’s topography, and to a lesser extent how users interact with the network, determine how suitable the network is for partitioning. Thus, we come to a negative answer to our question: our method does not work equally well for all networks. Moreover, since the network’s topography is the main determining factor, we expect this finding to apply to other graph-based geospatial data, as well as other Link Traversal-based applications.

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Published in 2021 in Journal of Web Engineering.

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Cite this article easily using its BibTeX entry:

@article{delva_jwe_2021,
  author = {Delva, Harm and Rojas Mel\'endez, Juli\'an and Colpaert, Pieter and Verborgh, Ruben},
  title = {Geospatially Partitioning Public Transit Networks for Open Data Publishing},
  journal = {Journal of Web Engineering},
  year = 2021,
  month = jun,
  volume = 20,
  number = 4,
  url = {https://journals.riverpublishers.com/index.php/JWE/article/view/5961/6965},
  doi = {https://doi.org/10.13052/jwe1540-9589.2045},
}

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IEEE
H. Delva, J. Rojas Meléndez, P. Colpaert, and R. Verborgh, “Geospatially Partitioning Public Transit Networks for Open Data Publishing,” Journal of Web Engineering, vol. 20, no. 4, Jun. 2021.
ACM
Harm Delva, Julián Rojas Meléndez, Pieter Colpaert, and Ruben Verborgh. 2021. Geospatially Partitioning Public Transit Networks for Open Data Publishing. Journal of Web Engineering 20, 4 (June 2021).
LNCS
Delva, H., Rojas Meléndez, J., Colpaert, P., Verborgh, R.: Geospatially Partitioning Public Transit Networks for Open Data Publishing. Journal of Web Engineering. 20, (2021).
APA
Delva, H., Rojas Meléndez, J., Colpaert, P., & Verborgh, R. (2021). Geospatially Partitioning Public Transit Networks for Open Data Publishing. Journal of Web Engineering, 20(4).
MLA
Delva, Harm, et al. “Geospatially Partitioning Public Transit Networks for Open Data Publishing.” Journal of Web Engineering, vol. 20, no. 4, June 2021.

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