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Crowdsourcing a cyclist perspective on suggested recreational paths in real-world networks

Kevin Baker UGent, Kristien Ooms UGent, Steven Verstockt UGent, Pascal Brackman, Philippe De Maeyer UGent and Rik Van de Walle UGent (2017) CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE.
abstract
Routing and navigation services for leisure activities are conditioned by special needs and trade-offs. The advent of online communities and large crowdsourced datasets offers opportunities to improve the adoption of a user's perspective in these suggested paths. This paper focuses on achieving two goals. First, the presented methodology analyses a dataset of 190 610 historical GPS traces to gain insights into the appreciation or attractiveness of each edge in a real-world network for a specific leisure activity (i.e. road cycling). Second, as literature on these leisure activities is still sparse, we want to create a thorough understanding of the activities at hand for future work. An appreciation model is proposed and the spread of this score is analyzed in shortest-path alternatives of popular routing engines for this activity. This analysis successfully discriminates these shortest paths based on the scoring value and three morphological parameters of the path. However, the robustness of the model should be improved to ensure the viability of the proposed approach in future work. More specifically, further research on the local optimality of the route choices will be imperative.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Routing, Leisure, User-generated content, Online Communities, Mapping, Crowdsourcing
journal title
CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE
Cartogr. Geogr. Inf. Sci.
issue title
Mapping Through Crowdsourcing
DOI
10.1080/15230406.2016.1192486
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
7212134
handle
http://hdl.handle.net/1854/LU-7212134
date created
2016-05-13 15:28:30
date last changed
2017-01-12 13:05:22
@article{7212134,
  abstract     = {Routing and navigation services for leisure activities are conditioned by special needs and trade-offs. The advent of online communities and large crowdsourced datasets offers opportunities to improve the adoption of a user's perspective in these suggested paths. This paper focuses on achieving two goals. First, the presented methodology analyses a dataset of 190 610 historical GPS traces to gain insights into the appreciation or attractiveness of each edge in a real-world network for a specific leisure activity (i.e. road cycling). Second, as literature on these leisure activities is still sparse, we want to create a thorough understanding of the activities at hand for future work. An appreciation model is proposed and the spread of this score is analyzed in shortest-path alternatives of popular routing engines for this activity. This analysis successfully discriminates these shortest paths based on the scoring value and three morphological parameters of the path. However, the robustness of the model should be improved to ensure the viability of the proposed approach in future work. More specifically, further research on the local optimality of the route choices will be imperative.},
  author       = {Baker, Kevin and Ooms, Kristien and Verstockt, Steven and Brackman, Pascal and De Maeyer, Philippe and Van de Walle, Rik},
  journal      = {CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE},
  keyword      = {Routing,Leisure,User-generated content,Online Communities,Mapping,Crowdsourcing},
  language     = {eng},
  title        = {Crowdsourcing a cyclist perspective on suggested recreational paths in real-world networks},
  url          = {http://dx.doi.org/10.1080/15230406.2016.1192486},
  year         = {2017},
}

Chicago
Baker, Kevin, Kristien Ooms, Steven Verstockt, Pascal Brackman, Philippe De Maeyer, and Rik Van de Walle. 2017. “Crowdsourcing a Cyclist Perspective on Suggested Recreational Paths in Real-world Networks.” Cartography and Geographic Information Science.
APA
Baker, Kevin, Ooms, K., Verstockt, S., Brackman, P., De Maeyer, P., & Van de Walle, R. (2017). Crowdsourcing a cyclist perspective on suggested recreational paths in real-world networks. CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE.
Vancouver
1.
Baker K, Ooms K, Verstockt S, Brackman P, De Maeyer P, Van de Walle R. Crowdsourcing a cyclist perspective on suggested recreational paths in real-world networks. CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE. 2017;
MLA
Baker, Kevin, Kristien Ooms, Steven Verstockt, et al. “Crowdsourcing a Cyclist Perspective on Suggested Recreational Paths in Real-world Networks.” CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE (2017): n. pag. Print.