Measures of Speeding from a GPS-based Travel Behavior Survey

Toshihiro Yokoo and David Levinson

No 132, Working Papers from University of Minnesota: Nexus Research Group

Abstract: This paper analyzes the relationship between road network structure and the percentage of speeding using GPS data collected from 152 individuals over a 7 day period. To investigate the relationship, we develop an algorithm and process to match the GPS data and GIS data accurately. Comparing actual travel speed from GPS data with posted speed limits we measure where and when speeding occurs, by whom. We posit that road network structure shapes the decision to speed. Our result shows that the percentage of speeding, which is calculated by travel distance, is large in high speed limit zones (e.g. 60 mph ) and low speed limit zone (less than 25 mph); in contrast, the percentage of speeding is much lower in the 30 - 50 mph zone. The results suggest driving pattern depends on the road type. We also find that if there are many intersections in the road, average link speed (and speeding) drops. Long links are conducive to speeding.

Keywords: GPS data; speeding; travel behavior (search for similar items in EconPapers)
JEL-codes: K42 R41 R42 (search for similar items in EconPapers)
Date: 2015
New Economics Papers: this item is included in nep-law, nep-net, nep-tre and nep-ure
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Published in Traffic Injury Prevention. 20(2), 158-163.

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http://hdl.handle.net/11299/179822 First version, 2015 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:speeding

DOI: 10.1080/15389588.2018.1543873

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