Suman Kumar Mitra
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Bangladesh University of Engineering and Technology (2012–2019); University of California, Irvine (2013–2022)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Suman Kumar Mitra's research focuses on understanding and modeling human mobility patterns, with a particular emphasis on transportation choices and their determinants. His work investigates factors influencing the adoption and usage of various transportation modes, including shared e-scooters, ridesourcing services, and long-distance commuting.
Métra's research has explored the decision-making processes behind alternative fuel adoption in heavy-duty vehicle fleets and examined carless lifestyles in California. He has also investigated gender differences in elderly mobility within the United States and analyzed the effects of vehicle platoons on crash types and severity. His scholarship metrics include an h-index of 17 with 80 total publications and 959 total citations.
Métra has served as Principal Investigator on three federal grants from the National Science Foundation (NSF), totaling $1,125,000. These grants support projects focused on developing community-based frameworks for shared micromobility and creating transportation platforms for older adults. He collaborates with several researchers from the University of Arkansas at Fayetteville, including Sarah Hernandez, Farzana Mehzabin Tuli, Arna Nishita Nithila, and Anindya Debnath.
Metrics
- h-index: 17
- Publications: 70
- Citations: 941
Positions
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Assistant Professor 2019–presentUniversity of Arkansas, Fayetteville Civil Engineering ORCID
Selected Publications
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Data-driven workforce forecasting for transportation infrastructure: A comparative analysis of deep learning and statistical time series models (2026)
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Who gets what and sends it back: Online delivery and return patterns in the U.S. (2026)
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Perception of transportation challenges and their influence on mode choice in a small US city: A generalized structural equation modeling approach (2025)
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Understanding Household Allocation of Personal Vehicles for Business Purposes: A Structural Equation Modeling Approach (2025)
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Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP) (2025)
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Rural-Urban Differences in Older Adults’ Travel Behavior in the Us: Evidence from the 2022 National Household Travel Survey (2025)
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Highway Transportation Asset Criticality Estimation Leveraging Stakeholder Input through an Analytical Hierarchy Process (AHP) (2025)
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Navigating transportation barriers: Older adults’ familiarity with new mobility options and perceptions toward autonomous vehicles in Arkansas (2025)
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Examining the impact of the COVID-19 pandemic on older adults’ activity participation and mode usage in a rural state: A case study of Arkansas (2025)
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Roadblocks to ride: Unraveling barriers to access shared micromobility systems in the United States (2024)
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A tale of two aging nations: How do urban designs impact older adults’ mobility in automobile versus transit societies? (2024)
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Partnering with Communities to Understand Social Determinants of Health (SDoH) Impacts on Access to Shared Micromobility (2024)
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Unlocking telecommuting patterns before, during, and after the COVID-19 pandemic: An explainable AI-driven study (2024)
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Work in Progress: Designing a Community-led Bike Share Program for a Small U.S. City: Evidence from Fort Smith, Arkansas (2024)
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A Case Study on Using a Mini Project in Structural Material Testing to Address ABET Student Outcomes (2024)
Federal Grants 3 $1,125,000 total
SCC-CIVIC-PG Track A: Shared MicromobIlity for affordabLe-accessIblE houSing (SMILIES)
Collaboration Network
Top Collaborators
- A spatial panel regression model to measure the effect of weather events on freight truck traffic
- Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study
- Assessment of Crash Occurrence Using Historical Crash Data and a Random Effect Negative Binomial Model: A Case Study for a Rural State
- Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP)
- Impact of Truck Parking Facilities on Commercial and Industrial Land Values: A Spatial Hedonic Model
Showing 5 of 8 shared publications
- Factors influencing the usage of shared E-scooters in Chicago
- Sustainable Shift: Analyzing Drivers for Low-Carbon Transportation Adoption in California’s Heavy-Duty and Off-Road Sectors
- Uncovering the spatio-temporal impact of the COVID-19 pandemic on shared e-scooter usage: A spatial panel model
- Dissecting shared e-scooters usage patterns and its impact on other transportation modes: A case study of Portland city
- Roadblocks to ride: Unraveling barriers to access shared micromobility systems in the United States
Showing 5 of 8 shared publications
- From stay-at-home to reopening: A look at how ridesourcing fared during the COVID-19 pandemic in Chicago, Illinois
- Workforce forecasting for state transportation agencies: A machine learning approach
- Unlocking telecommuting patterns before, during, and after the COVID-19 pandemic: An explainable AI-driven study
- Examining the Impact of the COVID-19 Pandemic on Ridesourcing Usage: A Case Study of Chicago
- Who gets what and sends it back: Online delivery and return patterns in the U.S.
Showing 5 of 6 shared publications
- Uncovering the spatio-temporal impact of the COVID-19 pandemic on shared e-scooter usage: A spatial panel model
- Navigating transportation barriers: Older adults’ familiarity with new mobility options and perceptions toward autonomous vehicles in Arkansas
- Examining the Impact of the Covid-19 Pandemic on Shared E-Scooter Usage: A Spatial Panel Model
- Examining the impact of the COVID-19 pandemic on older adults’ activity participation and mode usage in a rural state: A case study of Arkansas
- Rural-Urban Differences in Older Adults’ Travel Behavior in the Us: Evidence from the 2022 National Household Travel Survey
Showing 5 of 6 shared publications
- Sustainable Shift: Analyzing Drivers for Low-Carbon Transportation Adoption in California’s Heavy-Duty and Off-Road Sectors
- Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study
- Decoding Green Transition: Unraveling Behavioral Catalysts in the Adoption of Low-Carbon Transportation for Heavy-Duty Vehicles and Off-Road Equipment in California
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States
- Modeling determinants of ridesourcing usage: A census tract-level analysis of Chicago
- Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums
- Quantifying the Employment Accessibility Benefits of Shared Automated Vehicle Mobility Services: Consumer Welfare Approach Using Logsums
- Modeling Ridesourcing Trip Generation: Chicago Case Study
- Modeling determinants of ridesourcing usage: A census tract-level analysis of Chicago
- Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums
- Quantifying the Employment Accessibility Benefits of Shared Automated Vehicle Mobility Services: Consumer Welfare Approach Using Logsums
- Modeling Ridesourcing Trip Generation: Chicago Case Study
- Examining the Impact of the COVID-19 Pandemic on Ridesourcing Usage: A Case Study of Chicago
- Perception of Transportation Challenges and Their Influence on Mode Choice in a Small Us City: Evidence from Fort Smith, Arkansas
- Work in Progress: Designing a Community-led Bike Share Program for a Small U.S. City: Evidence from Fort Smith, Arkansas
- Understanding Household Allocation of Personal Vehicles for Business Purposes: A Structural Equation Modeling Approach
- Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums
- Trip Generation Rates of Land Uses in a Developing Country City
- Quantifying the Employment Accessibility Benefits of Shared Automated Vehicle Mobility Services: Consumer Welfare Approach Using Logsums
- Gender differences in elderly mobility in the United States
- Fleet operator perspectives on alternative fuels for heavy-duty vehicles
- Fleet Operator Perspectives on Heavy-duty Vehicle Alternative Fueling Infrastructure
- Navigating transportation barriers: Older adults’ familiarity with new mobility options and perceptions toward autonomous vehicles in Arkansas
- Examining the impact of the COVID-19 pandemic on older adults’ activity participation and mode usage in a rural state: A case study of Arkansas
- Navigating Transportation Barriers: Older Adults' Familiarity with New Mobility Options and Perceptions Toward Autonomous Vehicles
- Navigating transportation barriers: Older adults’ familiarity with new mobility options and perceptions toward autonomous vehicles in Arkansas
- Examining the impact of the COVID-19 pandemic on older adults’ activity participation and mode usage in a rural state: A case study of Arkansas
- Navigating Transportation Barriers: Older Adults' Familiarity with New Mobility Options and Perceptions Toward Autonomous Vehicles
- Navigating transportation barriers: Older adults’ familiarity with new mobility options and perceptions toward autonomous vehicles in Arkansas
- Examining the impact of the COVID-19 pandemic on older adults’ activity participation and mode usage in a rural state: A case study of Arkansas
- Navigating Transportation Barriers: Older Adults' Familiarity with New Mobility Options and Perceptions Toward Autonomous Vehicles
- A spatial panel regression model to measure the effect of weather events on freight truck traffic
- Assessment of Crash Occurrence Using Historical Crash Data and a Random Effect Negative Binomial Model: A Case Study for a Rural State
- Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums
- Quantifying the Employment Accessibility Benefits of Shared Automated Vehicle Mobility Services: Consumer Welfare Approach Using Logsums
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