Adapting to COVID-19
Adapting to COVID-19
VOTERFLOW
I N D I V I D U A L P R O J E C T
METHODS: AGENT-BASED MODELING, MOBILITY MAPPING
TOOLS: QGIS, BLENDER, BLENDERGIS
VoterFlow is a network simulation that provides NYC planning agencies an agent-based model for observing voter footpath mobility to current and opportune polling site locations for citizen convenience. The polling location, NTA, and City Council data was derived from NYC OpenData and visualized as a pedestrian simulation in Blender. The simulation was based on the QGIS network analysis conducted of calculating the quickest pathway within a 10-minute isochrone.
N E T W O R K A N A L Y S I S
The datasets observed from NYC OpenData were Voting/Poll Sites, 2020 Neighborhood Tabulation Areas, City Council Districts, and the NYC Planning Commuting Report for identifying daily foot traffic. Isochrone gaps were identified with schools, libraries, community centers, parks, and places of worship serving as potential polling sites.