Response Time of Highway Traffic Accidents in Abu Dhabi Investigation with Hazard-Based Duration Models

被引:21
|
作者
Al Kaabi, Abdulla [1 ]
Dissanayake, Dilum [1 ]
Bird, Roger [1 ]
机构
[1] Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
关键词
INCIDENT DURATION; FREQUENCY;
D O I
10.3141/2278-11
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Traffic incidents generate many adverse impacts, especially as far as traffic congestion, air pollution, fuel consumption, and secondary crashes are concerned. Therefore traffic incident responders and operators must know how to improve the efficiency of traffic incident management. This paper presents the results of an investigation into the effects of traffic accident characteristics on accident response time, with fully parametric hazard-based duration models with emphasis on the accelerated failure time metric. Accident characteristics and response times were obtained from Abu Dhabi, the capital of the United Arab Emirates. For an investigation into the factors affecting response time, data were retrieved from the Federal Traffic Statistics System and the Abu Dhabi Highway Collision Investigation Branch (AHCIB) for the period January to December 2009. For the purpose of this study, "response time" was defined as the length of time between the first report of the incident being received by AHCIB and the time that the first collision investigator arrived at the scene. After a goodness-of-fit test was conducted, a Weibull distribution with frailty was used. Results showed that various accident characteristics, including day of the week, month of the year, accident type, and location of the accident, affected response time. These results highlighted some weaknesses in the current highway accident management practices in Abu Dhabi, particularly the impact of lack of resources on the ability of the AHCIB to respond to an accident immediately upon notification of its occurrence. This paper suggests some measures designed to mitigate response problems.
引用
收藏
页码:95 / 103
页数:9
相关论文
共 38 条
  • [1] Analyzing Clearance Time of Urban Traffic Accidents in Abu Dhabi, United Arab Emirates, with Hazard-Based Duration Modeling Method
    Alkaabi, Abdulla Mohammed Saeed
    Dissanayake, Dilum
    Bird, Roger
    [J]. TRANSPORTATION RESEARCH RECORD, 2011, (2229) : 46 - 54
  • [2] An exploratory hazard-based analysis of highway incident duration
    Nam, D
    Mannering, F
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2000, 34 (02) : 85 - 102
  • [3] An Empirical Investigation of Passenger Wait Time Perceptions Using Hazard-Based Duration Models
    Psarros, Ioannis
    Kepaptsoglou, Konstantinos
    Karlaftis, Matthew G.
    [J]. JOURNAL OF PUBLIC TRANSPORTATION, 2011, 14 (03) : 109 - 122
  • [4] Hazard-based overtaking duration model for mixed traffic
    Maji, Avijit
    Mohan, Aneena
    Choudhari, Tushar Pramod
    Shailendra, Shivendra Kumar
    [J]. TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2024, 16 (07): : 715 - 724
  • [5] A hazard-based analysis of traffic incident duration prediction
    Kang, Guoxiang
    Fang, Shouen
    [J]. Tongji Daxue Xuebao/Journal of Tongji University, 2012, 40 (02): : 241 - 245
  • [6] Analysis of the Different Duration Stages of Accidents with Hazard-Based Model
    Li R.
    Guo M.
    Lu H.
    [J]. International Journal of Intelligent Transportation Systems Research, 2017, 15 (1) : 7 - 16
  • [7] Hazard-Based Duration Models for Predicting Actual Duration of Highway Projects Using Nonparametric and Parametric Survival Analysis
    Qiao, Yu
    Labi, Samuel
    Fricker, Jon D.
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2019, 35 (06)
  • [8] HAZARD-BASED DURATION MODELS AND THEIR APPLICATION TO TRANSPORT ANALYSIS
    HENSHER, DA
    MANNERING, F
    [J]. TRANSPORT REVIEWS, 1994, 14 (01) : 63 - 82
  • [9] Dynamic and Interpretable Hazard-Based Models of Traffic Incident Durations
    Kalair, Kieran
    Connaughton, Colm
    [J]. FRONTIERS IN FUTURE TRANSPORTATION, 2021, 2
  • [10] Incident Duration Modeling Using Flexible Parametric Hazard-Based Models
    Li, Ruimin
    Shang, Pan
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2014, 2014