Workgreen2015

Analysis of Berlin's taxi services by exploring GPS traces

37 citations0/0 files storedInternational Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

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Transportation Planning and Optimization Transportation and Mobility Innovations Traffic Prediction and Management Techniques

Abstract

With current on-board GPS devices a lot of data is being collected while operating taxis. This paper focuses on analysing travel behaviour and vehicle supply of the Berlin taxi market using floating car data (FCD) for one week each in 2013 and 2014. The data suggests that there is generally a demand peak on workday mornings and a second peak over a longer time in the afternoon. On weekends, the demand peaks shift towards the night. On the supply side, drivers seem to adapt to the demand peaks very efficiently, with fewer taxis being available at times of low demand, such as during midday. A spatial analysis shows that most taxi trips take place either within the city centre or from/to Tegel Airport, the city's largest single origin and destination. Drivers spend a large amount of their work time on waiting for customers and the taxi rank at Tegel Airport is the most popular one.

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References

2011Urban computing with taxicabs 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai 2010Uncovering cabdrivers’ behavior patterns from their digital traces 2011Exploratory calibration of a spatial interaction model using taxi GPS trajectories 2010Path-finding through flexible hierarchical road networks: An experiential approach using taxi trajectory data

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2021Impact of the mixed degree of urban functions on the taxi travel demand 2023Who are on the road? A study on vehicle usage characteristics based on one-week vehicle trajectory data 2018Agent-Based Modeling of Taxi Behavior Simulation with Probe Vehicle Data 2025Rethinking Automobile Dependency in Sub-Saharan Africa: Toward Sustainable Urban Planning in Cameroon

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