Taxi Driver Speeding: Who, When, Where and How? A Comparative Study Between Shanghai and New York

Shaopeng Zhong () and Daniel (Jian) Sun ()
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Shaopeng Zhong: Dalian University of Technology
Daniel (Jian) Sun: Chang’an University

Chapter Chapter 8 in Logic-Driven Traffic Big Data Analytics, 2022, pp 167-182 from Springer

Abstract: Abstract 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). 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 (1.0–1.5 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 and 7:00 AM in both Shanghai and NYC and the worst period was between 5:00 AM and 6:00 AM in both cities. 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.

Keywords: Taxi driver; Speeding; DREI method; GPS data; Comparative analysis (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-8016-8_8

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DOI: 10.1007/978-981-16-8016-8_8

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