MY RESEARCH

My research program examines ways to increase active living and promote healthy communities. I engage these topics using geospatial tools and modeling strategies with the intent 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.  The techniques I use largly consist of: geospatial technology, data science, spatial statistics, agent based modeling (ABM), spatiotemporal modeling, Big Data, and other empirical methods. The following topics represent ongoing and past research endeavors: 

  • Active transportation 

  • Urban design, mental health, travel

  • 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

Latest Research Updates:

April 20, 2018

I am very excited to be starting new line of research at Bergische Universität Wuppertal during my 2016 sabbatical appointment. Here, I'll be working with researchers from the Departments of Computer Simulation and Urban Studies & Sustainable Infrastructure Planning on a project focused on investigating bicyclist wayfinding strategies in an urban environment, one in which terrain and lack of bicycle facilities are ever-present. Through the use of bio-sensors,...

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...

October 13, 2016

A large part of my research investigates how urban design facilitates human wayfinding success while walking or bicycling. Using a bottom-approach to modeling, this research seeks to supplant traditional mobility studies in that micro-scale urban morphological metrics are explicitly accounted for, and aid in predicting transportation mode-choice and mobility trends. This research has two main components; 1) utilization of disaggregated urban morphological vari...

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...

March 7, 2015

Food insecurity is a global problem that has no clear solution. My interest in this issue is to apply advanced spatial and GIS models that provide a greater understanding of the spatial and aspatial barriers to healthy food access. As a result of a USDA sponsored grant, I am able to assist a team of researchers set on studying this issue in Michigan. 

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Affliations

Address

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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