Subasish Da
Biographic Data
| ID | 668759 |
|---|---|
| NAME | Subasish Da |
| GIVEN NAMES | Subasish |
| FAMILY NAME | Da |
| SIGNATURE | DA S |
| AFFILIATIONS | Texas State University |
| ORCID | 0000-0002-1671-2753 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 16 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Exploring transit bus related fatal crash patterns at intersections and roadway segments using association rule mining
Transit buses are vital for safe, sustainable urban mobility, yet fatal crashes involving these vehicles remain a critical concern for city planners and policymakers. This study applies Association Rule Mining (ARM) with the Lift Increase Criterion (LIC) to examine multiyear patterns of fatal transit bus crashes in the United States from 2016 to 2023, using data from the Fatality Analysis Reporting System (FARS). The analysis distinguishes betwee…
Explainable AI-driven hybrid modeling for crash severity analysis near bus stops in urban areas
Crashes near bus stops in urban areas present critical safety risks for pedestrians and vehicle occupants, especially in high-traffic areas with frequent transit activity. This study investigates crash severity patterns near Texas bus stops from 2017 to 2023 using a hybrid explainable AI framework. XGBoost and Random Forest models were applied, as part of feature selection process, to identify key contributing factors, which were subsequently use…
Non-spatial AI modeling to estimate traffic volume measures on local roadways
Accurate estimation of Annual Average Daily Traffic (AADT) on local low-volume roadways remains a critical challenge due to data scarcity and the limitations of traditional approaches. Conventional methods often fail to capture the complex, nonlinear factors influencing traffic volumes, particularly on low-volume, under-monitored roads. This study utilizes a comprehensive dataset from the Smart Location Database (SLD), incorporating geospatial, s…
Context-sensitive safety policy for highway railway grade crossings
Classifying crash severity by SAE automation level using transformer models
Exploring factors influencing user Re-ride intentions in shared autonomous shuttle vehicles
Toward safer micromobility
Who Leaves, When, and How? Dissecting Evacuation Choices from a Survey of At-Risk Residents in the Western U.S
Built environment and injury risk
Who should be responsible for setting standards for how automated vehicles are used? Insights of the US perspective from a 2021 nationwide survey
Understanding the intersection of transportation safety and quality of life
Global, regional, and national burden of disorders affecting the nervous system, 1990–2021
BACKGROUND: Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by…
Understanding user behaviors and safety concerns on shared use paths in Edmonton, Canada
City Transit Rider Tweets
With the expanding popularity of Web 2.0, there has been a huge surge in the use of social media, like Twitter, to express user sentiments or opinions. Delays and breakdowns in transit operations can make riders annoyed and irritated, and as a result, they express their anger and frustration via social media posts. Understanding the tipping points of public frustration will help in developing better solutions. This study aims to develop a framewo…
Characterizing public emotions and sentiments in Covid-19 environment
Coronavirus 2019, or COVID-19, is a contagious disease triggered by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With origins in Wuhan, China, this disease has since spread globally, resulting in the ongoing 2019–2020 coronavirus pandemic. As of May 3, 2020, the Ministry of Health and Family Welfare confirmed a total of 39,980 positive COVID-19 cases and 1,301 deaths in India (more than 3.42 million positive COVID-19 cases result…
Understanding crime and demographic influence on non-motorized trips
Interest and emphasis on non-motorized modes of transportation have been increasing in the recent years. A better understanding of factors affecting non-motorized commuting trips would enable stakeholders in non-motorized transportation to come up with relevant and cost-effective strategies to promote it. This study aims to improve the understanding on the association between non-motorized commuting trips, crime, and related demographics. Moreove…
Characterizing public emotions and sentiments in Covid-19 environment
Coronavirus 2019, or COVID-19, is a contagious disease triggered by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With origins in Wuhan, China, this disease has since spread globally, resulting in the ongoing 2019–2020 coronavirus pandemic. As of May 3, 2020, the Ministry of Health and Family Welfare confirmed a total of 39,980 positive COVID-19 cases and 1,301 deaths in India (more than 3.42 million positive COVID-19 cases result…
Understanding crime and demographic influence on non-motorized trips
Interest and emphasis on non-motorized modes of transportation have been increasing in the recent years. A better understanding of factors affecting non-motorized commuting trips would enable stakeholders in non-motorized transportation to come up with relevant and cost-effective strategies to promote it. This study aims to improve the understanding on the association between non-motorized commuting trips, crime, and related demographics. Moreove…
City Transit Rider Tweets
With the expanding popularity of Web 2.0, there has been a huge surge in the use of social media, like Twitter, to express user sentiments or opinions. Delays and breakdowns in transit operations can make riders annoyed and irritated, and as a result, they express their anger and frustration via social media posts. Understanding the tipping points of public frustration will help in developing better solutions. This study aims to develop a framewo…
Characterizing public emotions and sentiments in Covid-19 environment
Coronavirus 2019, or COVID-19, is a contagious disease triggered by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With origins in Wuhan, China, this disease has since spread globally, resulting in the ongoing 2019–2020 coronavirus pandemic. As of May 3, 2020, the Ministry of Health and Family Welfare confirmed a total of 39,980 positive COVID-19 cases and 1,301 deaths in India (more than 3.42 million positive COVID-19 cases result…
Global, regional, and national burden of disorders affecting the nervous system, 1990–2021
BACKGROUND: Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by…
Understanding user behaviors and safety concerns on shared use paths in Edmonton, Canada
Who Leaves, When, and How? Dissecting Evacuation Choices from a Survey of At-Risk Residents in the Western U.S
Built environment and injury risk
Who should be responsible for setting standards for how automated vehicles are used? Insights of the US perspective from a 2021 nationwide survey
Understanding the intersection of transportation safety and quality of life
Exploring transit bus related fatal crash patterns at intersections and roadway segments using association rule mining
Transit buses are vital for safe, sustainable urban mobility, yet fatal crashes involving these vehicles remain a critical concern for city planners and policymakers. This study applies Association Rule Mining (ARM) with the Lift Increase Criterion (LIC) to examine multiyear patterns of fatal transit bus crashes in the United States from 2016 to 2023, using data from the Fatality Analysis Reporting System (FARS). The analysis distinguishes betwee…
Explainable AI-driven hybrid modeling for crash severity analysis near bus stops in urban areas
Crashes near bus stops in urban areas present critical safety risks for pedestrians and vehicle occupants, especially in high-traffic areas with frequent transit activity. This study investigates crash severity patterns near Texas bus stops from 2017 to 2023 using a hybrid explainable AI framework. XGBoost and Random Forest models were applied, as part of feature selection process, to identify key contributing factors, which were subsequently use…
Non-spatial AI modeling to estimate traffic volume measures on local roadways
Accurate estimation of Annual Average Daily Traffic (AADT) on local low-volume roadways remains a critical challenge due to data scarcity and the limitations of traditional approaches. Conventional methods often fail to capture the complex, nonlinear factors influencing traffic volumes, particularly on low-volume, under-monitored roads. This study utilizes a comprehensive dataset from the Smart Location Database (SLD), incorporating geospatial, s…
Context-sensitive safety policy for highway railway grade crossings
Classifying crash severity by SAE automation level using transformer models
Exploring factors influencing user Re-ride intentions in shared autonomous shuttle vehicles
Toward safer micromobility
Traffic and Road Safety (9 works) · Crash (6 works) · Urban Transport and Accessibility (6 works) · Poison control (5 works) · Psychology (4 works) · Autonomous Vehicle Technology and Safety (3 works) · Business (3 works) · Computer Science (3 works) · Geography (3 works) · Injury prevention (3 works)