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Are routes aligned with the street network less complex?: a comprehensive analysis
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Spatial Cognitive Engineering)ORCID iD: 0009-0003-3414-8177
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-5629-0981
2025 (English)In: 28th AGILE conference on geographic information science: geographic information science responding to global challenges / [ed] Auriol Degbelo; Serena Coetzee; Carsten Keßler; Monika Sester; Sabine Timpf; Lars Bernard, Copernicus Publications, 2025, article id 27Conference paper, Published paper (Refereed)
Abstract [en]

The routes displayed on maps by navigation support systems are intended to help users to orient themselves towards reaching the destination and to infer information related to their navigation. Inferring how complex a route is, including how well you think you can remember it and the likelihood of getting lost, may influence expectations on how it is navigated. However, it is not well understood when and where a route displayed on a map is perceived as complex and why someone perceives it this way. Current methods for assessing complexity tend to focus either on (i) the complexity of the route or on (ii) the complexity of the environment as a static and global property. By taking inspiration from navigational map reading and how routes and street networks are perceived on a map, this paper investigates how environmental complexity influences route complexity and length.We developed a new approach to gauge the alignment between the orientation of a route’s origin and destination with respect to the orientation of the streets within the network, and we investigated how this measure relates to route complexity and length.

Place, publisher, year, edition, pages
Copernicus Publications, 2025. article id 27
Series
AGILE: GIScience Series ; 6
Keywords [en]
path search algorithms, street network, alignment, spatial information, complexity
National Category
Multidisciplinary Geosciences Other Computer and Information Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-247187DOI: 10.5194/agile-giss-6-27-2025OAI: oai:DiVA.org:umu-247187DiVA, id: diva2:2018943
Conference
AGILE Conference on Geographic Information Science, Dresden, Germany, Juen 10–13, 2025
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Umeå UniversityAvailable from: 2025-12-04 Created: 2025-12-04 Last updated: 2025-12-04Bibliographically approved

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Horned, ArvidFalomir, ZoeRichter, Kai-Florian

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