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- W622335073 abstract "In this study, the authors have developed a procedure to estimate bicycle link cost function parameters for use in a bicycle route choice model. A practical estimation procedure was established by formulating a bi-level optimization problem. Based on bicycle commuters’ revealed preference route choices to a university campus, a linear function with an interaction cost term was found to be the best model specification. Other models that incorporated both distance and risk terms were almost as good. Model forms that used only distance or only risk were clearly inferior, indicating the importance of using both factors. In order to investigate the relative importance of travel distance and risk concern, an elasticity ratio test was conducted. The results indicate that, for the authors' database, travel distance is more important in route choice decisions. However, when perceived risk, as represented by link Bicycle Compatibility Index, reaches high levels, the role of the risk factor in bicycle route choice becomes almost as important as the distance factor. Bicyclists are then more likely to trade off increased distance for decreased perceived risk. The bi-level optimization method described in this paper provides a practical way to approximate bicyclist route choice behavior using a simple measure (distance) and the well-recognized Bicycle Compatibility Index. The resulting model can guide investments in bicycle facilities." @default.
- W622335073 created "2016-06-24" @default.
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- W622335073 date "2013-01-01" @default.
- W622335073 modified "2023-09-24" @default.
- W622335073 title "A Bicycle Route Choice Model That Incorporates Distance and Perceived Risk" @default.
- W622335073 hasPublicationYear "2013" @default.
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