Cyclist Route Choice Modeling

A research on influence of Openness & Monotony on cyclist route choice

Student report (2018)

Authors

A. Anastasiadou Architecture and the Built Environment
M. Herrera Herrera Architecture and the Built Environment
D. Oldenburg Architecture and the Built Environment
I. Tsakalakidou Architecture and the Built Environment
E.G. van der Wal Architecture and the Built Environment

Contributors

E. Verbree OLD Department of GIS Technology (supervisor 1)
C. Maat OLD Urban and Regional Development (supervisor 1)
Faculty
Architecture and the Built Environment
Copyright: © 2018 Anastasia Anastasiadou, Meylin Herrera Herrera, Davey Oldenburg, Ioanna Tsakalakidou, Erik van der Wal
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Published Date

2018

Language

English

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Faculty

Architecture and the Built Environment

Abstract

In previous studies on cyclist route choice, many influencing factors have been identified. Openness of the built environment, which can be described as the extent of open space above and around a specific point, has no yet been related to cyclist travel behaviour. Monotony of the built environment, described as the extent of visual variation of elements that form the built environment for a sequence of locations, has been related to transportation problems but not to cyclist route choice in particular. This research seeks to bridge this gap in existing literature by determining the effect of the openness and monotony of the built environment on cyclist route choice in the Province of Noord-Brabant. The openness value for a specific route has been modeled by accounting for the building heights and distance to a building for a sequence of locations. Applying a linear regression analysis with the openness and monotony model as input shows that openness of the built environment has a negative influence on the amount of distance people are willing to diverge from the shortest path, while on the other hand, cyclists prefer to use roads with higher variation in the built environment. However, the results show that the proportional influence of both factors can be considered as low.