MY RESEARCH

My research program examines ways to increase active living and promote healthy communities. I engage these topics using geospatial tools and empirical modeling strategies with the goal to provide a fuller understanding of contextual and compositional factors affecting accessibility, mobility, and social equity; with a keen focus on the moderating influence of urban design and public health.  The techniques I use largly consist of: GISc, urban data science, spatial statistics, agent based modeling (ABM), spatiotemporal modeling, and other geovisualization strategies. The following topics represent ongoing and past research endeavors: 

  • Active transportation

  • Micromobility assessments 

  • Urban design and public health

  • Children's walking behavior

  • Spatial statistical analysis

  • Transportation psychology

  • Geovisualization and geospatial technology

  • Inter-modal transportation choice

  • Food access and demand

  • Human wayfinding 

  • Travel-demand forecasting

  • Crime risk modeling

  • Multi-criteria decision-making

  • Neighborhood-quality evaluation  

  • Bicycle crash modeling

  • Environmental health

Latest Research Updates:

Due to the influx of large microscale datasets obtained from social media, there is a renewed interest in understating human health within neighborhoods; especially in mitigating negative health outcomes. Working with colleagues from the SiTI Higher Institute on Territorial Systems, Turin, Italy, we have embarked on a study to understand how human sentiment is affected by neighborhood health over time and space. Preliminary results have already been disseminat...

The surge of microscale geospatial media data is helping researchers understand several space-time phenomenon. To this end, my co-authors and I are currently examining Twitter data to understand the human sentiment of motorized and non-motorized travel modes, using Chicago and Washington D.C. as case studies. We found that spatiotemporal trends of sentiments vary widely for each city-indicating that contextual effects influence attitude while traveling. Additi...

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Affliations

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Find me

University of Michigan-Flint

Department of Geography, Planning, and Environment

University of Michigan, Michigan Institute of Data Sciences (MIDAS) 

Centre for Urban Design and Mental Health

 

University of Michigan-Flint

Department of Geography, Planning and Environment 

516 Murchie Science Bldg

Flint, Michigan 48502

t: 810-762-3355

grybar@umich.edu

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