Evaluation of risk factors for road accidents under mixed traffic: Case study on Indian highways. (December 2022)

• Record Type: Journal Article
• Authors: Basu, Sujata; Saha, Pritam
• Is Part Of: IATSS research. Volume 46:Number 4(2022)
• Page Start: 559
• Page End: 573
• Publication Date: 2022-12
• Subjects: Highway safety -- Mixed traffic -- Risk factors -- Crash incident -- Impacts; Traffic safety -- Periodicals; Transportation and state -- Periodicals; Verkeersveiligheid; Internationale organisaties; Traffic safety; Transportation and state; Periodicals; 363.1256
• DOI: 10.1016/j.iatssr.2022.09.004
• Languages: English
• ISSNs: 0386-1112

Abstract

Abstract: This paper presents an evaluation of risk factors for highway crashes under mixed traffic conditions. The basis of selecting study sites was abutting land use, roadway, and traffic characteristics. Accordingly, the study selected thirteen segments on the existing highway network in the state of West Bengal of India, covering a wide spectrum of such road attributes. A systematic investigation based on site-specific accident data to capture the highway sections' safety features revealed that the crash rate has steadily increased for years with traffic regardless of roadway category and conditions. A number of risk factors that affect road accidents were identified; they are mid-block access, pavement and shoulder conditions, vehicle involvement, time of day, and road configuration, i.e., two and multi-lane. The empirical observation indicates that the crash rate is relatively lower on multi-lane highways; however, the severity of any crash on such a road is relatively high. Notably, the crash frequencies on such roads are less during daylight hours due to the lane-based unidirectional traffic movement. This is quite the opposite during nighttime when drivers exhibit an inability to meet traffic contingencies, thereby increasing crash risk. The majority of crashes on two-lane highways are, on the other hand, due to unsafe driving manoeuvers. The study also observed that frequent mid-block accesses and poor shoulder conditions reduce scopes to rectify driving errors and increase crash risk as a consequence. The paper subsequently suggests proactive approaches to identify safety deficits at the time of planning and designing. Highlights: Evaluates crash risk factors for different types of highways under mixed traffic. Presents a data-driven approach to assess impact of risk factors on crash incidence. Estimates likelihood of crashes for various factors related to roadway and vehicles.