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Results for “"Subasish Das"”

12 results

The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

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Sheikh Mohammed Shariful Islam, Riaz Uddin, Subasish Das, Syed Imran Ahmed et al.

Journal: The Lancet Global HealthYear: 2023Citations: 66

BACKGROUND: Bangladesh has made substantial progress in improving socioeconomic and health indicators over the past 50 years, but data on national disease burden are scarce. We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to estimate the burden of disease...

Health SciencesMedicinePediatrics, Perinatology and Child HealthOpen Access
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Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey

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Ahmed Sajid Hasan, Mohammad Jalayer, Subasish Das, Md. Asif Bin Kabir

Journal: International Journal of Transportation Science and TechnologyYear: 2023Citations: 34

Motor vehicle crashes are the leading cause of the death of teenagers in the United States. Young drivers have shown their higher propensity to get involved in crashes due to using a cellphone while driving, breaking the speed limit, and reckless driving. This study analyzed motor vehicle crashes in...

Physical SciencesEngineeringSafety, Risk, Reliability and QualityOpen Access
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Understanding patterns of moped and seated motor scooter (50 cc or less) involved fatal crashes using cluster correspondence analysis

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Subasish Das, Md Mahmud Hossain, M. Ashifur Rahman, Xiaoqiang Kong et al.

Journal: Transportmetrica A Transport ScienceYear: 2022Citations: 21

Moped and seated motor scooter (50 ccs or less) riders have a relatively high risk of becoming crash casualties. Comparison between 2015 and 2019 fatal crash data indicates that fatal moped crashes have increased by 76%, whereas fatal motorcycle crashes have decreased by 2%. This study collected mop...

Physical SciencesEngineeringSafety, Risk, Reliability and Quality
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Severity modeling of work zone crashes in New Jersey using machine learning models

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Ahmed Sajid Hasan, Md. Asif Bin Kabir, Mohammad Jalayer, Subasish Das

Journal: Journal of Transportation Safety & SecurityYear: 2022Citations: 20

In the United States, the probability of work zone crashes has increased due to an increase in renovation works by transportation infrastructures. The severity of work zone crashes is associated with multiple contributing factors such as the roadway’s geometric design features, temporal variables, e...

Physical SciencesEngineeringSafety, Risk, Reliability and Quality
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Crash Contributing Factors and Patterns Associated with Fatal Truck-Involved Crashes in Bangladesh: Findings from the Text Mining Approach

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Ahmed Hossain, Xiaoduan Sun, Shah Alam, Subasish Das et al.

Journal: Transportation Research Record Journal of the Transportation Research BoardYear: 2023Citations: 16

Despite extensive research on traffic injury severities, relatively little is known about the factors contributing to truck-involved crashes in developing countries, especially in the context of Bangladesh. Because of the unavailability of authentic crash data sources, this study collected data from...

Physical SciencesEngineeringSafety, Risk, Reliability and QualityOpen Access
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Understanding Fatal Crash Reporting Patterns in Bangladeshi Online Media using Text Mining

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Subasish Das

Journal: Transportation Research Record Journal of the Transportation Research BoardYear: 2021Citations: 15

Traffic crashes are a major public health concern. In 2016, traffic crashes resulted in over 1.35 million deaths worldwide. In Bangladesh alone, the number of reported traffic fatalities was 2,376 in 2016. However, the World Health Organization estimated that the true number of traffic fatalities in...

Health SciencesMedicineEpidemiology
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Single-vehicle roadway departure crashes at rural two-lane highway curved segments: A diagnosis using pattern recognition

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Ahmed Hossain, Xiaoduan Sun, Shahrin Islam, M. Ashifur Rahman et al.

Journal: International Journal of Transportation Science and TechnologyYear: 2023Citations: 9

Curved segments account for a disproportionately high proportion of fatal and serious injury crashes, with most of these crashes occurring on rural two-lane (R2L) highways. During the 10-year period from 2008 to 2017, a total of 1,234 fatal single-vehicle roadway departure (SV-RwD) crashes occurred ...

Physical SciencesEngineeringSafety, Risk, Reliability and QualityOpen Access
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Exploring the factors affecting injury severity in highway and non-highway crashes in Bangladesh applying machine learning and SHAP

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Nazmus Sakib, Tonmoy Paul, Subasish Das, Ahmed Hossain

Journal: IATSS ResearchYear: 2025Citations: 4

To create effective preventive measures and targeted interventions, it is crucial to comprehend the contributing factors to the crash and quantify how they affect the injury, especially in least-developed countries. However, highway and non-highway crashes are linked to having distinguished characte...

Physical SciencesEngineeringSafety, Risk, Reliability and QualityOpen Access
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Understanding pedestrian hit-and-run crash patterns using Louisiana data

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Subasish Das, Nazmus Sakib, Srinivas R Geedapally, Zihang Wei

Journal: Transportation Safety and EnvironmentYear: 2025Citations: 1

Abstract Walking is an active and sustainable mode of transportation with numerous health and environmental benefits. However, the growing concern over the increasing number of hit-and-run crashes involving pedestrians poses a significant threat to public health. This research investigates the vario...

Physical SciencesEngineeringSafety, Risk, Reliability and QualityOpen Access
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Leveraging Explainable Machine Learning Techniques to Estimate Crash Severity for Different Pedestrian Actions

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Ahmed Hossain, Subasish Das, Nazmus Sakib, Shriyank Somvanshi

Journal: Transportation Research Record Journal of the Transportation Research BoardYear: 2026

This study investigates pedestrian–vehicle crashes using explainable machine learning (ML) models and SHapley Additive exPlanations (SHAP) tool to understand the role of pedestrian actions in fatal/severe injury. The dataset consists of 4,343 at-fault pedestrian crashes (2017–2021) in Louisiana stat...

Physical SciencesEngineeringSafety, Risk, Reliability and Quality
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Patterns Associated with Fatal Motorcycle-Involved Crashes in Bangladesh: Applying Text Mining Techniques and Structural Topic Modeling

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Ahmed Hossain, Nazmus Sakib, Abdullah Al Asif, Subasish Das

Journal: Research SquareYear: 2025

Motorcycle crashes in Bangladesh pose a growing public health and transportation safety challenge, worsened by persistent gaps and availability in official crash data. This study uses a news media mining approach to examine 475 motorcycle-related crash reports from English-language Bangladeshi onlin...

Social SciencesGeneral Social SciencesComputational and Text Analysis MethodsOpen Access
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Contributors

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Satyabrata Aich, Navneet Arora, Rabindra K. Barik, Akalabya Bissoyi et al.

Journal: Elsevier eBooksYear: 2019
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