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Volume List  / Volume 4 (2)

Article

ROUTE CHOICE MODELLING FOR BICYCLE TRIPS

DOI: 10.7708/ijtte.2014.4(2).06


4 / 2 / 194-209 Pages

Author(s)

Ehsan Beheshtitabar - Department of Science and Technology (ITN), Linköping University, 581 83 Linköping, Sweden -

Sergi Aguilar Ríos - Department of Science and Technology (ITN), Linköping University, 581 83 Linköping, Sweden -

David König-Hollerwöger - Department of Science and Technology (ITN), Linköping University, 581 83 Linköping, Sweden -

Zdeněk Svatý - Department of Science and Technology (ITN), Linköping University, 581 83 Linköping, Sweden -

Clas Rydergren - Department of Science and Technology (ITN), Linköping University, 581 83 Linköping, Sweden -


Abstract

This paper intends to find out which parameters have the highest influence on bicyclists’ route-choice-behaviour and how they contribute. There are many attributes considered throughout different studies that are favoured by cyclists. The attributes are the basis for generating a function which predicts the route choice of cyclists. The paper aims at making a comparison between distance-based routes and attribute-based routes. The model for creating the bicycle route choice program is based on the network model of Norrköping, Sweden. The preferred attributes of the model each assign a weight in the cost function of the model for each link of the urban network. The algorithm of the lowest cost function route searches the shortest path in terms of assigned link costs over the whole network. For comparing the results of the cost function and the shortest route (between an origin-destination), the model has a shortest path finding algorithm between different Origin and Destination pairs implemented. It has been viewed that around 25% of all cumulative routes do not show any distance differences between the shortest path distance and attributes based solution. With the used weights of the Standard scenario, it can be seen that the trade-off between shortest distance and safety respectively comfort can be optimized, fulfilling both criteria (distance and safety/comfort).


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Keywords:
bicycle route choice; attributes; cost function; modeling;


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