The motor vehicle collision dataset was found here, and a public description of the dataset can be found here.
Details of Motor Vehicle Collisions in New York City provided by the Police Department (NYPD).
The home page for the google places API can be found here.
A more description of the service is given here. The Google Places API Web Service is a service that returns information about places — defined within this API as establishments, geographic locations, or prominent points of interest — using HTTP requests.
Each of the services is accessed as an HTTP request, and returns either an JSON or XML response. All requests to a Places service must use the https:// protocol, and include an API key. The Google Places API Web Service uses a place ID to uniquely identify a place.
The home page for the google maps API can be found here.
A more description of the service is given here. The Google maps API Web Service is a service that for visualizing maps and accessing rich mapping features like accurate directions and Street View — using HTTP requests.
The shape file can be downloaded here and an in depth description of all the features in the shape file can be found here.
LION is a single line representation of New York City streets containing address ranges and other information about New York City streets.
The longitude and latitude points for the subway stations were found here.
This data file provides a variety of information on subway station entrances and exits which includes : Division, Line, Station Name, Longitude and Latitude coordinates of entrances/exits.
The shape file can be downloaded here and an in depth description of all the features in the shape file can be found here.
The shapefile shows the borough boundaries of New York City clipped to the shoreline at mean high tide.
Other data files related to New York City traffic can be found here.
Traffic-related datasets from other cities that campaign Vision Zero such as: Los Angeles, Seattle, Washinton, DCor Portland.
Factual.com provides place information near latitude and longitude points, gets the name, address, contact, category, or hours of operation for a place, a nd can get counts of places by category. All of which may be useful in continuing my project.
Foursquare.com can provide the number of check-ins in a given location, and search for places in a given area.
The twitter API may be useful in searching for relevant hastags in a given geolocation.