Evaluating Cyclist Patterns Using GPS Data from Smartphones

Bernardi, Silvia (2016) Evaluating Cyclist Patterns Using GPS Data from Smartphones, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Ingegneria civile, ambientale e dei materiali, 28 Ciclo. DOI 10.6092/unibo/amsdottorato/7543.
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In recent years the availability of GPS data has seen as a significant improvement in data accuracy, continuity and quality, due to the spread of smartphones and mobile applications for self-localization and navigation. GPS datasets provide analysts with geo-referenced information about users’ mobility and habits. The first part of the thesis consisted of an analysis of the context of bicycle facilities for the city of Bologna, Italy, made through experimental measures of cycleway and road usage rates, and cycling speed. The following part of the study focused on the use of GPS traces datasets, which allow to record a wide amount of bike trips. The main advances in the last years’ relevant literature have been described. Subsequently, two case studies have been analyzed: GPS traces datasets recorded through mobile devices, both for the city of Bologna and for the whole Netherlands. First, the original dataset of GPS points have been properly filtered in order to exclude instrumental errors. The GPS points have then been matched to a high-detail network database, in order to obtain the actual routes chosen by cyclists. The considered road networks included both attributes of the roadway and attributes of the bicycle facilities, when existing. The percentage of the trips done on a bicycle facility versus the roadway could thus be compared with the results from the first part of the study, and be used as a measure of the attractiveness and effectiveness of the bicycle facilities available. Furthermore, the chosen routes could be compared with the shortest routes for each origin-destination pair, and route choice models could be calibrated, based on different relevant attributes of the networks, of users, and of trips.

Tipologia del documento
Tesi di dottorato
Bernardi, Silvia
Dottorato di ricerca
Scuola di dottorato
Ingegneria civile ed architettura
Settore disciplinare
Settore concorsuale
Parole chiave
Cycling, bicycle route choice, GPS data
Data di discussione
27 Maggio 2016

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