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Open transport data for maximising reuse in multimodal route planners : a study in Flanders

Pieter Colpaert UGent, Mathias Van Compernolle UGent, Nils Walravens, Peter Mechant UGent, Jan Adriaenssens, Femke Ongenae UGent, Ruben Verborgh UGent and Erik Mannens UGent (2017) IET INTELLIGENT TRANSPORT SYSTEMS. 11(7). p.397-402
abstract
The European Data Portal shows a growing number of governmental organisations opening up transport data. As end users need traffic or transit updates on their day-to-day travels, route planners need access to this government data to make intelligent decisions. Developers however, will not integrate a dataset when the cost for adoption is too high. In this paper, the authors study the internal and technological challenges to publish data from the Department of Transport and Public Works in Flanders for maximum reuse. Using the qualitative Engage STakeholdErs through a systEMatic toolbox (ESTEEM) research approach, they interviewed 27 governmental data owners and organised both an internal workshop as a matchmaking workshop. In these workshops, data interoperability was discussed on four levels: legal, syntactic, semantic and querying. The interviews were summarised in ten challenges to which possible solutions were formulated. The effort needed to reuse existing public datasets today is high, yet they see the first evidence of datasets being reused in a legally and syntactically interoperable way. Publishing data so that it is reusable in an affordable way is still challenging.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
keyword
IBCN, portals, traffic engineering computing, decision making, open systems, query processing, open transport data, European data portal, multimodal route planners, Flanders, governmental data organisations, transit updates, traffic updates, intelligent decision making, qualitative ESTEEM research approach, querying level, semantic level, syntactic level, legal level, data interoperability
journal title
IET INTELLIGENT TRANSPORT SYSTEMS
volume
11
issue
7
pages
397 - 402
place of publication
Jun, 2016
conference name
11th Intelligent Transport Systems European Congress
conference location
Glasgow, SCOTLAND
Web of Science type
Article
Web of Science id
000412510900006
ISSN
1751-956X
1751-9578
DOI
10.1049/iet-its.2016.0269
language
English
UGent publication?
yes
classification
A1
id
8537123
handle
http://hdl.handle.net/1854/LU-8537123
date created
2017-11-13 10:01:21
date last changed
2017-11-16 09:05:44
@article{8537123,
  abstract     = {The European Data Portal shows a growing number of governmental organisations opening up transport data. As end users need traffic or transit updates on their day-to-day travels, route planners need access to this government data to make intelligent decisions. Developers however, will not integrate a dataset when the cost for adoption is too high. In this paper, the authors study the internal and technological challenges to publish data from the Department of Transport and Public Works in Flanders for maximum reuse. Using the qualitative Engage STakeholdErs through a systEMatic toolbox (ESTEEM) research approach, they interviewed 27 governmental data owners and organised both an internal workshop as a matchmaking workshop. In these workshops, data interoperability was discussed on four levels: legal, syntactic, semantic and querying. The interviews were summarised in ten challenges to which possible solutions were formulated. The effort needed to reuse existing public datasets today is high, yet they see the first evidence of datasets being reused in a legally and syntactically interoperable way. Publishing data so that it is reusable in an affordable way is still challenging.},
  author       = {Colpaert, Pieter and Van Compernolle, Mathias and Walravens, Nils and Mechant, Peter and Adriaenssens, Jan and Ongenae, Femke and Verborgh, Ruben and Mannens, Erik},
  issn         = {1751-956X},
  journal      = {IET INTELLIGENT TRANSPORT SYSTEMS},
  keyword      = {IBCN,portals,traffic engineering computing,decision making,open systems,query processing,open transport data,European data portal,multimodal route planners,Flanders,governmental data organisations,transit updates,traffic updates,intelligent decision making,qualitative ESTEEM research approach,querying level,semantic level,syntactic level,legal level,data interoperability},
  language     = {eng},
  location     = {Glasgow, SCOTLAND},
  number       = {7},
  pages        = {397--402},
  title        = {Open transport data for maximising reuse in multimodal route planners : a study in Flanders},
  url          = {http://dx.doi.org/10.1049/iet-its.2016.0269},
  volume       = {11},
  year         = {2017},
}

Chicago
Colpaert, Pieter, Mathias Van Compernolle, Nils Walravens, Peter Mechant, Jan Adriaenssens, Femke Ongenae, Ruben Verborgh, and Erik Mannens. 2017. “Open Transport Data for Maximising Reuse in Multimodal Route Planners : a Study in Flanders.” Iet Intelligent Transport Systems 11 (7): 397–402.
APA
Colpaert, P., Van Compernolle, M., Walravens, N., Mechant, P., Adriaenssens, J., Ongenae, F., Verborgh, R., et al. (2017). Open transport data for maximising reuse in multimodal route planners : a study in Flanders. IET INTELLIGENT TRANSPORT SYSTEMS, 11(7), 397–402. Presented at the 11th Intelligent Transport Systems European Congress.
Vancouver
1.
Colpaert P, Van Compernolle M, Walravens N, Mechant P, Adriaenssens J, Ongenae F, et al. Open transport data for maximising reuse in multimodal route planners : a study in Flanders. IET INTELLIGENT TRANSPORT SYSTEMS. Jun, 2016; 2017;11(7):397–402.
MLA
Colpaert, Pieter, Mathias Van Compernolle, Nils Walravens, et al. “Open Transport Data for Maximising Reuse in Multimodal Route Planners : a Study in Flanders.” IET INTELLIGENT TRANSPORT SYSTEMS 11.7 (2017): 397–402. Print.