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v4 - Boston Crash Map

✓ Published1🌍 Public
Ssjpeno@wpi.edu
Last edited Oct 31, 2024
Created on Oct 31, 2024
Forked from v3 - MA Crash Map

This visualization displays a geographic map of Boston using hardcoded GeoJSON data of the Roslindale neighborhood, rendered with a Mercator projection via `d3.geoPath`. Crash records from the Boston Crash Dataset, including time, location, and mode type, are plotted as points on the map. The code imports CSV data directly and uses `d3.select` to set up the SVG container, with a projection centered on Boston's coordinates. This version focuses on integrating the neighborhood boundary geometry with the crash data for spatial analysis.

AI-generated description

Data

The data I propose to visualize for my project is from a Boston Crash Dataset. This Dataset is pulled from data.boston.gov, provided as part of the Vision Zero Boston program, contains records of the date, time, location, and type of crash for incidents requiring public safety response which may involve injuries or fatalities. All records are compiled by the Department of Innovation and Technology from the City's Computer-Aided Dispatch (911) system and verified as having required a response from a public safety agency. To protect the privacy of individuals involved in these incidents, we do not indicate the severity of specific crashes or whether medical care was provided in any specific case.

I want to understand the geographic distribution of crashes. I want to understand how crashes have changed of time (time of day, time of week, time of year, year-after-year, etc.) I want to identify subsets of the data where crashes have a high value. I want to identify crash rates for location types. I want to identify crash rates for mode/vehicle type.

Version

4 - Adding Boston GEOJSON data!

MIT Licensed

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