An analysis of drivers route choice behaviour using GPS data and optimal alternatives |
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| Affiliation: | 1. Department of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, Via Amendola 2, Pad. Morselli, 42122 Reggio Emilia, Italy;2. Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi” (DEI), University of Bologna, Viale del Risorgimento, 2, 40126 Bologna, Italy;1. Urban Studies, University of Glasgow, United Kingdom;2. Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, United Kingdom;1. Technische Universität Dresden, Institute for Transport & Economics, Würzburger Str. 35, 01062 Dresden, Germany;2. TomTom Development Germany, An den Treptowers 1, 12435 Berlin Germany;1. Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China;2. Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, 255 Computing Applications Building, MC-150, 605 E Springfield Ave., Champaign, IL 61820, USA and Department of Human Geography and Spatial Planning, Utrecht University, 3508 TC Utrecht, Netherlands;3. School of Geographic Sciences, Xin Yang Normal University, 237 Nanhu Road, Xin Yang, 464000, China |
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| Abstract: | ![]()
This work aims to study drivers' route choices using a dataset of low frequency GPS coordinates to identify travels' trajectories. The sample consists of 89 drivers who performed 42 thousand paths in the province of Reggio Emilia, in Italy, during the seventeen considered months. Four attributes that may be important for the driver are identified and four optimal alternative paths are created based on the selected objectives to evaluate route choice behaviour. The comparison between the characteristics of the paths allows to conclude that drivers select routes that are overall longer than their optimal alternatives but that allow for higher speeds. Furthermore the statistical analysis of drivers' route choices in macroareas evidences that drivers have different behaviours depending on the geography of the territory. Specifically, there is higher heterogeneity of route choices in the plain areas compared to the mountains. In the second part of this work, clusters of repetitive travels are identified and a Geographical Route Directness Index is proposed to identify the areas of the province where the deviation from the shortest alternative path is higher. The analysis shows that, among groups of repetitive travels, the value of the index is higher along the ring road of the city of Reggio Emilia and there is a strong negative correlation between the frequency the driver selects the longer alternative that allow for higher speed, and the number of additional kilometres the same driver has to travel. |
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