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Title:

Parking Search Caused Congestion: What We Learn from a Controlled GPS Example with Applications to Big Data

Accession Number:

01595795

Record Type:

Component

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.

Supplemental Notes:

This paper was sponsored by TRB committee AP000 Public Transportation Group. Alternate title: Congestion Caused by Parking Search: What We Learn from Controlled GPS Example with Application to Big Data.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-4707

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Karlin-Resnick, Joshua
Weinberger, Rachel
Millard-Ball, Adam

ORCID 0000-0002-2353-8730

Hampshire, Robert
Dykstra, Tod
Lucas, Kevin

Pagination:

12p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Identifier Terms:

SFpark

Uncontrolled Terms:

Big data

Geographic Terms:

San Francisco (California)

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-4707

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:04PM