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- W2339920080 abstract "Congestion due to drivers looking for parking is much lamented and little understood. A popular notion is that 30% of urban traffic is due to drivers looking for parking. Yet independent evaluations of SFpark, one using field studies and the other simulation based on meter occupancy, found that drivers in the city found parking on their destination block in over 94% of trips. Neither assessment is broadly useful as the first comes from studying neighborhoods known to have parking problems and the other looks at areas where price controls are in place. This study is part of broader effort to use global positioning system (GPS) data to follow vehicle trips that are widely distributed across entire urban areas to understand parking search caused congestion. Here the authors describe the generation and analysis of a controlled group of GPS traces that are used to understand how an uncontrolled GPS trace could be read in order to identify whether a trip includes cruising for parking. In particular, the control trace has a clear statement by the driver when he or she begins the parking search. Cruising is identified when the actual distance traveled exceeds the minimum network path by a certain threshold, or by the presence of an out-of-direction movement by a vehicle near the end of a trip." @default.
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- W2339920080 date "2016-01-01" @default.
- W2339920080 modified "2023-09-23" @default.
- W2339920080 title "Parking Search Caused Congestion: What We Learn from a Controlled GPS Example with Applications to Big Data" @default.
- W2339920080 hasPublicationYear "2016" @default.
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