Citation

Huang Y, Sun DJ, Tang J. Traffic Injury Prev. 2018; 19(3): 311-316.

Affiliation

Center for Intelligent Transportation System and Unmanned Aerial System Application, Shanghai Jiao Tong University , Shanghai 200240 , China.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2017.1391382

PMID

29045160

Abstract

OBJECTIVE: The three objectives of this study are: 1) To identify the driving style characteristics of taxi drivers in Shanghai and NYC using taxi GPS data and make a comparative analysis; 2) To explore the influence of different driving style characteristics on the frequency of speeding (who and how?) 3) To explore the influence of driving style characteristics, road attributes and environmental factors on the speeding rate (when, where and how?) Methods: This study proposes a Driver-Road-Environment Identification (DREI) method to investigate the determinant factors of taxi speeding violations. Driving style characteristics, together with road and environment variables were obtained based on the GPS data and auxiliary spatio-temporal data in Shanghai and New York City (NYC).

RESULTS: The daily working hours of taxi drivers in Shanghai (18.6 h) was far more than NYC (8.5 h). The average occupancy speed of taxi drivers in Shanghai (21.3 km/h) was similar to that of NYC (20.3 km/h). Speeders in both cities had shorter working hours and longer daily driving distance than the ordinary taxi drivers, while their daily income was similar. Speeding drivers routinely took long distance trips (>10 km) and they preferred to choose relative faster routes rather than the shortest ones. Length of segments (1.0 km-1.5 km) and good traffic condition were associated with high amount of speeding rate while CBD area and secondary road were associated with low amount of speeding rate. Moreover, many speeding violations were identified occurring between 4:00 AM to 7:00 AM in both Shanghai and NYC and the worst period was between 5:00 AM to 6:00 AM in both cities.

CONCLUSIONS: Characteristics of drivers, road attributions and environment variables should be considered together when studying driver speeding behavior.

FINDINGS of this study may assist to stipulate relevant laws and regulations such as stronger early morning, long segments supervision, shift-rule regulation and working hour restriction to mitigate the risk of potential crashes.

Language: en

Keywords

Comparative Analysis; DREI Method; GPS Data; Speeding; Taxi Driver