| People | Locations | Statistics |
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| Tekkaya, A. Erman |
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| Förster, Peter |
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| Mudimu, George T. |
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| Shibata, Lillian Marie |
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| Talabbeydokhti, Nasser |
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| Laffite, Ernesto Dante Rodriguez |
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| Schöpke, Benito |
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| Gobis, Anna |
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| Alfares, Hesham K. |
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| Münzel, Thomas |
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| Joy, Gemini Velleringatt |
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| Oubahman, Laila |
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| Filali, Youssef |
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| Philippi, Paula |
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| George, Alinda |
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| Lucia, Caterina De |
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| Avril, Ludovic |
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| Belachew, Zigyalew Gashaw |
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| Kassens-Noor, Eva | Darmstadt |
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| Cho, Seongchul |
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| Tonne, Cathryn |
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| Hosseinlou, Farhad |
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| Ganvit, Harsh |
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| Schmitt, Konrad Erich Kork |
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| Grimm, Daniel |
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Manley, Ed
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2023Analysing Connected Car Data to Understand Vehicular Route Choice
- 2023Agent-based models in urban transportation: review, challenges, and opportunitiescitations
- 2023National-Scale Spatiotemporal Variation in Driver Navigation Behaviour and Route Choice (Short Paper)
- 2022An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Energy Consumption and Costs in Urban Spacecitations
- 2021Exploring the Impact of Driver Adherence to Speed Limits and the Interdependence of Roadside Collisions in an Urban Environment: An Agent-Based Modelling Approachcitations
- 2020Perception of urban subdivisions in pedestrian movement simulationcitations
- 2019Cities have a negative impact navigation ability
- 2019Route Choice Through Regions by Pedestrian Agents (Short Paper)
- 2019Route choice through regions by pedestrian agents
- 2018Cities have a negative impact navigation ability:
- 2016Finding Pearls in London's Oysterscitations
- 2016Spatiotemporal variation in travel regularity through transit user profilingcitations
Places of action
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article
National-Scale Spatiotemporal Variation in Driver Navigation Behaviour and Route Choice (Short Paper)
Abstract
Understanding human behaviour is an integral task in GIScience, facilitated by increasingly large and descriptive datasets on human activity. Large-scale trajectory data have been particularly useful in measuring behaviours in different contexts, and understanding the relationship between the built environment and people. Yet, to date, most of these studies have focused on urban or regional scale analyses, with less exploration of behavioural variation at larger spatial scales. Human navigation behaviour is inherently linked to variation in spatial structure, and a study of national variations could help to better understand this variability. In this paper, we analyse GPS data from over 1 million journeys by 50,000 connected cars across the UK. Some key statistics relating to route choice are computed, and their variations are explored over time and space. A k-mean clustering of the trips identifies different types of trips and shows that their distribution varies by time of day and across the country. The insights gained from the data highlight spatio-temporal variations in road navigation, which should be considered in transportation modelling and planning.
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