Shortest path or anchor-based route choice: a large-scale empirical analysis of minicab routing in London
Understanding and modelling route choice behavior is central to predicting the formation and propagation of urban road congestion. Yet within conventional literature disagreements persist around the nature of route choice behavior, and how it should be modeled. In this paper, both the shortest path and anchor-based perspectives on route choice behavior are explored through an empirical analysis of nearly 700,000 minicab routes across London, United Kingdom. In the first set of analyses, the degree of similarity between observed routes and possible shortest paths is established. Shortest paths demonstrate poor performance in predicting both observed route choice and characteristics. The second stage of analysis explores the influence of specific urban features, named anchors, in route choice. These analyses show that certain features attract more route choices than would be expected were individuals choosing route based on cost minimization alone. Instead, the results indicate that major urban features form the basis of route choice planning – being selected disproportionately more often, and causing asymmetry in route choice volumes by direction of travel. At a finer scale, decisions made at minor road features are furthermore demonstrated to influence routing patterns. The results indicate a need to revisit the basis of how routes are modeled, shifting from the shortest path perspective to a mechanism structured around urban features. In concluding, the main trends are synthesized within an initial framework for route choice modelling, and presents potential extensions of this research.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Manley, E J
- Addison, J D
- Cheng, T
- Publication Date: 2015-2
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: pp 123-139
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Serial:
- Journal of Transport Geography
- Volume: 43
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0966-6923
- Serial URL: http://www.elsevier.com/locate/jtrangeo
Subject/Index Terms
- TRT Terms: Route choice; Routing; Shortest path algorithms; Taxi services; Traffic congestion
- Geographic Terms: London (England)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;
Filing Info
- Accession Number: 01558375
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 31 2015 8:53AM