With the increased emphasis on sustainable transportation, advancements are necessary in the technical methods used in the planning and engineering of investments for nonmotorized modes. This paper used GPS data on cyclists’ activities to estimate a utility or generalized-cost function that reflects cyclists’ evaluation of path alternatives. For 724 cycling trips, path attributes were compiled of the observed cycling path to four feasible but not-chosen alternatives. With two logit formulations, the relative importance of statistically significant path parameters—length, auto speed, grade, and the presence (or absence) of bike lanes—was estimated. Then the predictive powers of the models were tested on 181 trips that were observed in the same data set but were not used to calibrate the model. In the best case, this model correctly predicted the actual path for 65% of these trips; for an additional 13% of trips, the difference in probabilities of selecting the best alternative path and the actual path was less than 5%. These results were interpreted to mean that relatively robust path choice (and ultimately mode choice) models may be generated and included in enhanced multimodal travel forecasting models.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling Cyclists’ Route Choice Based on GPS Data


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:


    Erscheinungsdatum :

    01.01.2014




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Criteria for Cyclists' Everyday Route Choice

    Hagemeister, C. / Schmidt, A. / Seidel, T. et al. | British Library Conference Proceedings | 2005


    Route choice of cyclists in Zurich

    Menghini, G. | Online Contents | 2010


    Comparative study of route choice models for cyclists

    Adrian Meister / Zheng Liang / Matteo Felder et al. | DOAJ | 2024

    Freier Zugriff

    Understanding and Predicting Cyclists' Route Choice by Use of Models

    Ryeng Olaussen, E. | British Library Conference Proceedings | 1999


    Metropolis-Hasting based Expanded Path Size Logit model for cyclists’ route choice using GPS data

    Anae Sobhani / Hamzeh Alizadeh Aliabadi / Bilal Farooq | DOAJ | 2019

    Freier Zugriff