The Danish Centre for Studies in Research and Research Policy

Maxime Sainte-Marie

The road to direction: Assessing the impact of road asymmetry on street network small-worldness

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Standard

The road to direction : Assessing the impact of road asymmetry on street network small-worldness. / Sainte-Marie, Maxime.

Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings. Springer-Verlag, 2014. p. 206-221 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8684 LNAI).

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Sainte-Marie, M 2014, The road to direction: Assessing the impact of road asymmetry on street network small-worldness. in Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings. Springer-Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8684 LNAI, pp. 206-221, International Conference on Spatial Cognition IX, Spatial Cognition 2014, Bremen, Germany, 15/09/2014. https://doi.org/10.1007/978-3-319-11215-2_15

APA

Sainte-Marie, M. (2014). The road to direction: Assessing the impact of road asymmetry on street network small-worldness. In Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings (pp. 206-221). Springer-Verlag. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.. 8684 LNAI https://doi.org/10.1007/978-3-319-11215-2_15

CBE

Sainte-Marie M. 2014. The road to direction: Assessing the impact of road asymmetry on street network small-worldness. In Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings. Springer-Verlag. pp. 206-221. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8684 LNAI). https://doi.org/10.1007/978-3-319-11215-2_15

MLA

Sainte-Marie, Maxime "The road to direction: Assessing the impact of road asymmetry on street network small-worldness". Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings. Springer-Verlag. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8684 LNAI). 2014, 206-221. https://doi.org/10.1007/978-3-319-11215-2_15

Vancouver

Sainte-Marie M. The road to direction: Assessing the impact of road asymmetry on street network small-worldness. In Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings. Springer-Verlag. 2014. p. 206-221. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8684 LNAI). https://doi.org/10.1007/978-3-319-11215-2_15

Author

Sainte-Marie, Maxime. / The road to direction : Assessing the impact of road asymmetry on street network small-worldness. Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings. Springer-Verlag, 2014. pp. 206-221 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8684 LNAI).

Bibtex

@inproceedings{d24bf24786494c50898660214c4409f0,
title = "The road to direction: Assessing the impact of road asymmetry on street network small-worldness",
abstract = "Small-world networks have proven to be optimal navigational structures, by insuring an adequate balance between local and global network efficiency. In the particular case of road networks, small-world- oriented research has led to widely diverging results, depending on modelling procedures: while traditional, geometric, road-based models fail to observe small-world properties in road networks, a new street-based modelling approach has obtained opposite results, by observing small-world properties for both named-based and angularity-based street graphs. These results are however hampered by the fact that street-based modelling has so far overlooked road asymmetry. Given this, the present research aims at evaluating the impact of road asymmetry on street network {"}small-worldness{"}, by comparing symmetric and asymmetric street graphs by means of a structural indicator recently developed in brain network analysis. Results show that taking into account road asymmetry better highlights not only the small-world nature of street networks, but also the exceptional structure of name-based (odonymic) street topologies.",
author = "Maxime Sainte-Marie",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-11215-2_15",
language = "English",
isbn = "9783319112145",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "206--221",
booktitle = "Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings",
note = "International Conference on Spatial Cognition IX, Spatial Cognition 2014 ; Conference date: 15-09-2014 Through 19-09-2014",

}

RIS

TY - GEN

T1 - The road to direction

T2 - International Conference on Spatial Cognition IX, Spatial Cognition 2014

AU - Sainte-Marie, Maxime

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Small-world networks have proven to be optimal navigational structures, by insuring an adequate balance between local and global network efficiency. In the particular case of road networks, small-world- oriented research has led to widely diverging results, depending on modelling procedures: while traditional, geometric, road-based models fail to observe small-world properties in road networks, a new street-based modelling approach has obtained opposite results, by observing small-world properties for both named-based and angularity-based street graphs. These results are however hampered by the fact that street-based modelling has so far overlooked road asymmetry. Given this, the present research aims at evaluating the impact of road asymmetry on street network "small-worldness", by comparing symmetric and asymmetric street graphs by means of a structural indicator recently developed in brain network analysis. Results show that taking into account road asymmetry better highlights not only the small-world nature of street networks, but also the exceptional structure of name-based (odonymic) street topologies.

AB - Small-world networks have proven to be optimal navigational structures, by insuring an adequate balance between local and global network efficiency. In the particular case of road networks, small-world- oriented research has led to widely diverging results, depending on modelling procedures: while traditional, geometric, road-based models fail to observe small-world properties in road networks, a new street-based modelling approach has obtained opposite results, by observing small-world properties for both named-based and angularity-based street graphs. These results are however hampered by the fact that street-based modelling has so far overlooked road asymmetry. Given this, the present research aims at evaluating the impact of road asymmetry on street network "small-worldness", by comparing symmetric and asymmetric street graphs by means of a structural indicator recently developed in brain network analysis. Results show that taking into account road asymmetry better highlights not only the small-world nature of street networks, but also the exceptional structure of name-based (odonymic) street topologies.

UR - http://www.scopus.com/inward/record.url?scp=84907080087&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-11215-2_15

DO - 10.1007/978-3-319-11215-2_15

M3 - Article in proceedings

AN - SCOPUS:84907080087

SN - 9783319112145

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 206

EP - 221

BT - Spatial Cognition IX - International Conference, Spatial Cognition 2014, Proceedings

PB - Springer-Verlag

Y2 - 15 September 2014 through 19 September 2014

ER -