A5031184421- COVID-19 epidemiological studies
- Human Mobility and Location-Based Analysis
- Opinion Dynamics and Social Influence
- Urban, Neighborhood, and Segregation Studies
- Urbanization and City Planning
- Housing Market and Economics
- Complex Systems and Time Series Analysis
- Smart Cities and Technologies
- Culinary Culture and Tourism
- Transportation Planning and Optimization
- Mathematical and Theoretical Epidemiology and Ecology Models
- Misinformation and Its Impacts
- Traffic Prediction and Management Techniques
- COVID-19 Pandemic Impacts
- demographic modeling and climate adaptation
- Water Governance and Infrastructure
- Organic Food and Agriculture
- Data-Driven Disease Surveillance
- Health and Medical Research Impacts
- Urban Agriculture and Sustainability
University of Colorado Colorado Springs
2024
University at Buffalo, State University of New York
2022-2024
The notion of physical space has long been central in geographical theories. However, the widespread adoption information and communication technologies (ICTs) freed human dynamics from purely to also relational cyber spaces. While researchers increasingly recognize such shifts, rarely have studies examined how propagates these hybrid spaces (ie physical, relational, cyber). By exploring vaccine opinion through agent-based modeling, this study is first that combines all explores their...
Smart City (SC) strategies developed by local governments reflect how and planners envision SC apply smart technologies, what challenges they face try to address. Little attention, however, has been given investigating or applications, especially in the U.S. context. Moreover, there is insufficient attention paid whether address social issues such as equity public participatory opportunities. Based on documentation from Department of Transportation 2015 Challenge, we a framework evaluate...
Many low-income and minority-concentrated neighborhoods have been struggling for decades with the acute problem of endemic abandonment in shrinking cities. Using high-resolution spatial–temporal data, this study attempts to extend our understanding influence on future impact interventions such as demolition by identifying spatial patterns housing Buffalo, New York when city invested heavily an aggressive 5-in-5 plan targeting predominantly African American high rates abandonment. Our results...
Within the geo-simulation research domain, micro-simulation and agent-based modeling often require creation of synthetic populations. Creating such data is a time-consuming task lacks social networks, which are crucial for studying human interactions (e.g., disease spread, disaster response) while at same time impacting decision-making. We address these challenges by introducing Python based method that uses open including from 2020 U.S. Census to generate large-scale realistic...
This article makes visible the social network infrastructure of people sustaining urban food system in post-industrial city Buffalo, NY. It does so by probing how networks are launched and sustained over time, who is responsible for networks, to what end. The authors employ a survey collect data on among actors within city's system. findings suggest that Buffalo's constellation close-knit comprised primarily local grassroots organizations having 'small world' effects— is, short chains link...