01632413

Component

https://doi.org/10.3141/2667-06

Travel behavior researchers have observed that the average and standard deviations of trip pace (the inverse of speed) are linearly related. This paper further studies this relationship by using taxi GPS trajectory data collected in the city of Shenzhen, China, in eight periods between early 2013 and late 2015. When tested against the original linear relationship, the data demonstrated heteroscedasticity. To address that issue, a distance- or time-corrected variable was introduced into the original linear model. The resulting two models, along with the original linear model, were tested and compared. The results showed that (a) the new linear model with the time-corrected pace variable (TCPV) demonstrated the best fit to data compared with the other models, (b) the parameters of the TCPV model showed strong consistency for trips originating from similar areas with similar land use patterns, and (c) the parameters of the TCPV model were relatively stable across different time periods.

01658386

17-03912

English

pp 51–60

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309460446

Digital/other

Figures (6) ; Maps; References (27) ; Tables (5)

Global Positioning System; Logs; Taxicabs; Travel behavior; Travel time; Trip length; Vehicle trajectories

Shenzhen (China)

Data and Information Technology; Highways; Passenger Transportation; Planning and Forecasting

TRIS, TRB, ATRI

Dec 8 2016 11:30AM

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