Suman Mitra Data-verified
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Assistant Professor
faculty
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Biography and Research Information
OverviewAI-generated summary
Suman Mitra's research investigates factors influencing transportation choices and adoption of low-carbon technologies. Her work has examined the usage patterns of shared e-scooters in urban environments, including the spatio-temporal impact of the COVID-19 pandemic. Mitra also studies the adoption decisions of alternative fuels in heavy-duty vehicle fleets, gathering insights from fleet operators.
Her research further explores mobility patterns across different demographics, including gender differences in elderly mobility and the impact of carsharing on lower-income populations. Mitra has received significant funding from the National Science Foundation (NSF) as Principal Investigator for projects focused on developing transportation platforms for older adults and creating community-based frameworks for shared micromobility in affordable housing. She has an h-index of 17 with 79 publications and 912 citations, and collaborates with multiple researchers at the University of Arkansas at Fayetteville.
Metrics
- h-index: 17
- Publications: 78
- Citations: 906
Selected Publications
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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)
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Perception of Transportation Challenges and Their Influence on Mode Choice in a Small Us City: Evidence from Fort Smith, Arkansas (2024)
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Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study (2024)
Federal Grants 3 $1,125,000 total
SCC-CIVIC-PG Track A: Shared MicromobIlity for affordabLe-accessIblE houSing (SMILIES)
Collaboration Network
Top Collaborators
- 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
- Impact of Truck Parking Facilities on Commercial and Industrial Land Values: A Spatial Hedonic Model
- Highway Transportation Asset Criticality Estimation Leveraging Stakeholder Input through an Analytical Hierarchy Process (AHP)
- Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP)
Showing 5 of 9 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
- Examining the Impact of the Covid-19 Pandemic on Shared E-Scooter Usage: A Spatial Panel Model
Showing 5 of 8 shared publications
- Uncovering the spatio-temporal impact of the COVID-19 pandemic on shared e-scooter usage: A spatial panel model
- Examining the 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
- Rural-Urban Differences in Older Adults’ Travel Behavior in the Us: Evidence from the 2022 National Household Travel Survey
- Navigating Transportation Barriers: Older Adults' Familiarity with New Mobility Options and Perceptions Toward Autonomous Vehicles
Showing 5 of 6 shared publications
- 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
- Perception of Transportation Challenges and Their Influence on Mode Choice in a Small Us City: Evidence from Fort Smith, Arkansas
- Understanding Household Allocation of Personal Vehicles for Business Purposes: A Structural Equation Modeling Approach
- 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
- Factors influencing alternative fuel adoption decisions in heavy-duty vehicle fleets
- 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
- 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
- Factors influencing alternative fuel adoption decisions in heavy-duty vehicle fleets
- Fleet operator perspectives on alternative fuels for heavy-duty vehicles
- Fleet Operator Perspectives on Heavy-duty Vehicle Alternative Fueling Infrastructure
- Factors influencing alternative fuel adoption decisions in heavy-duty vehicle fleets
- 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
- Navigating Transportation Barriers: Older Adults' Familiarity with New Mobility Options and Perceptions Toward Autonomous Vehicles
- 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 in Arkansas
- Navigating Transportation Barriers: Older Adults' Familiarity with New Mobility Options and Perceptions Toward Autonomous Vehicles
- 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 in Arkansas
- Navigating Transportation Barriers: Older Adults' Familiarity with New Mobility Options and Perceptions Toward Autonomous Vehicles
- 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
- Highway Transportation Asset Criticality Estimation Leveraging Stakeholder Input through an Analytical Hierarchy Process (AHP)
- Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through an Analytical Hierarchy Process (AHP)
- Highway Transportation Asset Criticality Estimation Leveraging Stakeholder Input through an Analytical Hierarchy Process (AHP)
- Sample classification by selecting informative genes: a greedy multi-objective simulated annealing approach
- Identification of disease critical Genes for Triple Negative Breast Cancer, TNBC, using Particle Swarm Optimization, PSO, with Machine Learning
- From stay-at-home to reopening: A look at how ridesourcing fared during the COVID-19 pandemic in Chicago, Illinois
- Perception of transportation challenges and their influence on mode choice in a small US city: A generalized structural equation modeling approach
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