Browsing by Author "Sumayya Naznin, P.H."

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Accident Prediction Modelling and Crash Scene Investigation
(Springer Science and Business Media Deutschland GmbH, 2023) Sumayya Naznin, P.H.; Panackel, L.S.; Zaviar, S.; Babu, S.
In recent years, traffic incidents have been a major cause of deaths, injuries, and property damage in India. By definition, an accident is â€œan unforeseen and unplanned incident that causes harm or injuryâ€ ; nevertheless, in most circumstances, accidents can be avoided by taking specific precautions. Understanding the primary and contributing factors may combat road traffic accident severity. This research uncovered new information as well as the most important target-specific contributing elements to the severity of road accidents. The goal of this study was to analyse accident data from Koratty and Angamaly towns in Kerala's Ernakulam district, and to identify and classify black spots into first, second, third, fourth, and fifth orders based on the ASI value and the crash scenes were investigated in order to analyze the causes. An attempt was made to design collision and condition diagrams, as well as develop an accident prediction model for these dangerous areas, using the information acquired thus far. The collision diagrams for various places also revealed the pattern of road accidents that occurred over a two-year period, while the condition diagrams revealed the precise site of the accident. Using this knowledge, certain short-term corrective measures/solutions for the crash studied sites were offered. Â© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Estimation of Willingness to Pay for Reducing Road Accident Risk Using Route Choice Model
(Springer Science and Business Media Deutschland GmbH, 2023) Sumayya Naznin, P.H.; Anandu, V.G.; Panackel, L.S.; Ravishankar, A.U.
The proportionality of road accidents with urbanization triggers road accident cost analysis, as a prime component in the planning and designing of road projects. However, proper quantification of accidents and analyzing every parameter associated with it is a tedious task and requires expert approaches. This study deals with the cost of road accidents in Thiruvananthapuram city as it houses the most critical accident spots in the state of Kerala. Essential stretches of roads to be analyzed were identified using Accident Severity Index (ASI). A Stated Preference (SP) survey was conducted to estimate the trip-wise mean willingness to pay value (WTP) of road users of the selected road stretches based on logit models. Travel time, travel costs, and accident rates were taken as the attributes. The behavior of individual users was interpreted from the coefficients estimated from the models. The mode-specific variables showed relations consistent with the expectations. The willingness to pay value to avoid a critical accident estimated from the final model was found higher for short trip setting (Rs.1.08/trip), which indicates the importance of safety of the short frequent trips among the road users compared to the longer trip setting (Rs. 0.72/trip). Â© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Human Capital Approach for road accident costing in an Indian City
(Institute for Transport Studies in the European Economic Integration, 2023) Sumayya Naznin, P.H.; Gidugu, S.; Cyril, A.; Ravi Shankar, A.U.
The monetization of road crashes helps improve road safety awareness. This study focuses on the cost of Road Traffic Accidents (RTAs) in Ernakulam, a South Indian city, based on the Human Capital (HC) methodology, as it is most effective to estimate the cost of RTAs in developing nations. The loss is calculated from various data sources, including in-depth accident databases (police), questionnaire surveys, private hospital records, and vehicle garage bills considering the collision types. Most of the total costs are attributed to lost productivity, followed by medical expenses, vehicle damage, and human costs. Administrative costs comprise the smallest portion (0.73%) of the overall accident costs. The total cost estimation of RTAs in Ernakulam city for the years 2018 to 2021 is in the range of INR 66,96,04,438 to INR 103,05,12,440, which represents 0.44% to 0.7% of the city’s Gross Domestic Product (GDP), which is a non-repairable loss to the nation. © 2023 Institute for Transport Studies in the European Economic Integration. All rights reserved.