Authors

Soohyun Bae, Harley Yang

Research Question

How can key neighborhood sentiments, conditions, and the actions taken to address them be effectively integrated and presented through a pilot “dashboard” for NYC neighborhoods?

Background

The way data is organized in NYC directly shapes how services are structured and prioritized across neighborhoods. This research aims to support neighborhood residents and local governments to deliver services in a more integrated and effective manner.

Methodology

The Neighborhood Dashboard was designed to highlight key neighborhood conditions—such as noise, sanitation, homelessness, and air quality—within selected New York City neighborhoods. It integrates neighborhood concerns, objective measures of those conditions, and governmental actions taken to attempt to address them, allowing users to explore disparities across community districts. The data were primarily sourced from NYC Open Data and supplemented through manual collection where necessary. Spatial analysis was used to uncover geographic patterns, while comparative analysis helped identify inter-neighborhood disparities. The dashboard was developed using HTML, CSS, JavaScript, ArcGIS Pro, and various data visualization libraries. Aimed at residents, stakeholders, and city agencies, the platform facilitates the exploration of local conditions through interactive maps, charts, and comparative insights, supporting data-driven decision-making. The research also notes limitations in existing datasets and information gathering or sharing that constrain creating a fully functioning dashboard.

Deliverables

• A sample Neighborhood Dashboard that enables NYC residents and local governments to understand and act on key neighborhood issues while also identifying data issues to be addressed to develop a fully functioning version of the dashboard.
• Technical Report

Datasets