Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers

Risky driving behavior of taxi drivers typically evaluated for full operation or sometimes sorted into occupied and empty running trips. In this paper, we simultaneously analyze aggressive driving and distracted driving of taxi drivers under three different trip categories. Trip origin is considered...

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Main Authors: Muhammad Sajjad Ansar, Yongfeng Ma, Shuyan Chen, Kun Tang, Ziyu Zhang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-10-01
Series:Journal of Traffic and Transportation Engineering (English ed. Online)
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095756420301586
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author Muhammad Sajjad Ansar
Yongfeng Ma
Shuyan Chen
Kun Tang
Ziyu Zhang
author_facet Muhammad Sajjad Ansar
Yongfeng Ma
Shuyan Chen
Kun Tang
Ziyu Zhang
author_sort Muhammad Sajjad Ansar
collection DOAJ
description Risky driving behavior of taxi drivers typically evaluated for full operation or sometimes sorted into occupied and empty running trips. In this paper, we simultaneously analyze aggressive driving and distracted driving of taxi drivers under three different trip categories. Trip origin is considered a transition from without ride-order to with ride-order travelling or from with ride-order to occupied travelling, and a destination as a transition from occupied to without ride-order travelling and vice versa. Distracted driving is characterized by driver interference, driver mobile use and some entertainment aspects, while specific harmful and risky actions are considered for aggressive driving. High-resolution and real-time kinematic parameters of taxis were recorded by the in-vehicle recorder VBOX for overall 562 trips. The distracted driving parameters and aggressive driving actions were monitored through python data collector web application that was specially programmed for this particular research. Besides dual dash cam (i.e., front and inside car camera), drivers’ whole day driving history from their Chinese ride-hailing DiDi smart application was used to differentiate occupied trips, unoccupied trips with ride-order and unoccupied trips without ride-order. Structural equation modeling (SEM) is practiced in this paper to understand the influence of distracted driving indicators on aggressive driving behaviors. The multi-group model analysis of SEM indicated that handling distracted risky driving could control aggressive driving behavior up to 96% and 98% in unoccupied without ride-order trips and unoccupied trips with ride-order respectively. The model has also identified the sensitive risky driving indicators for each group separately.
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spelling doaj.art-48b5a43de62742a2b625fe8f767dc3022022-12-21T19:13:09ZengKeAi Communications Co., Ltd.Journal of Traffic and Transportation Engineering (English ed. Online)2095-75642021-10-0185725734Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi driversMuhammad Sajjad Ansar0Yongfeng Ma1Shuyan Chen2Kun Tang3Ziyu Zhang4School of Transportation, Southeast University, Nanjing 211189, ChinaSchool of Transportation, Southeast University, Nanjing 211189, China; Corresponding author. Tel.: +86 13912997321.School of Transportation, Southeast University, Nanjing 211189, ChinaSchool of Automation, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Transportation, Southeast University, Nanjing 211189, ChinaRisky driving behavior of taxi drivers typically evaluated for full operation or sometimes sorted into occupied and empty running trips. In this paper, we simultaneously analyze aggressive driving and distracted driving of taxi drivers under three different trip categories. Trip origin is considered a transition from without ride-order to with ride-order travelling or from with ride-order to occupied travelling, and a destination as a transition from occupied to without ride-order travelling and vice versa. Distracted driving is characterized by driver interference, driver mobile use and some entertainment aspects, while specific harmful and risky actions are considered for aggressive driving. High-resolution and real-time kinematic parameters of taxis were recorded by the in-vehicle recorder VBOX for overall 562 trips. The distracted driving parameters and aggressive driving actions were monitored through python data collector web application that was specially programmed for this particular research. Besides dual dash cam (i.e., front and inside car camera), drivers’ whole day driving history from their Chinese ride-hailing DiDi smart application was used to differentiate occupied trips, unoccupied trips with ride-order and unoccupied trips without ride-order. Structural equation modeling (SEM) is practiced in this paper to understand the influence of distracted driving indicators on aggressive driving behaviors. The multi-group model analysis of SEM indicated that handling distracted risky driving could control aggressive driving behavior up to 96% and 98% in unoccupied without ride-order trips and unoccupied trips with ride-order respectively. The model has also identified the sensitive risky driving indicators for each group separately.http://www.sciencedirect.com/science/article/pii/S2095756420301586E-hailing taxi driverDistracted drivingAggressive drivingNaturalistic drivingSEM
spellingShingle Muhammad Sajjad Ansar
Yongfeng Ma
Shuyan Chen
Kun Tang
Ziyu Zhang
Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers
Journal of Traffic and Transportation Engineering (English ed. Online)
E-hailing taxi driver
Distracted driving
Aggressive driving
Naturalistic driving
SEM
title Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers
title_full Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers
title_fullStr Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers
title_full_unstemmed Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers
title_short Investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e-hailing taxi drivers
title_sort investigating the trip configured causal effect of distracted driving on aggressive driving behavior for e hailing taxi drivers
topic E-hailing taxi driver
Distracted driving
Aggressive driving
Naturalistic driving
SEM
url http://www.sciencedirect.com/science/article/pii/S2095756420301586
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AT shuyanchen investigatingthetripconfiguredcausaleffectofdistracteddrivingonaggressivedrivingbehaviorforehailingtaxidrivers
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