Crash Data Explorer for Vision Zero
To run an instance of Crash Data Explore you need to have access to crash data and the geographic boundaries of communities for your locality. For each of these, there are several variables that are required in order for Crash Data Explorer to be functional.
For your locality's crash dataset, the following variables are required for each crash:
For your locality's communities dataset, the following variables are required for each community:
- Unique ID
- Area Name
- Polygon coordinates
If you don't have access to these sorts of datasets about your community, you may need to seek partnerships such as with a local university, and/or advoate for open data before you can create an instance of Crash Data Explorer.
Utility Python Scripts
The Python scripts that are provided in util/ as an example of how to convert data into a GeoJSON format, require a Python environment with GeoPandas installed. However, these Python scripts do not need to be loaded onto a server and can simply be run in a local Python enviroment such as through an IDE.
Installing the Columbus Ohio Example
The Columbus Ohio example simply needs to be provided with a Census API Key and uploaded to a webserver to complete setup. You should first edit webapp/js/config.js to add a valid US Census API key. Information on where to acquire the key is provided in the code comments. Then just upload all items in the webapp/ folder to a webserver and you will see the fully-functional example when you load index.html in a webbrowser.
Creating a version for another locaity
The "heavy lift" of creating a Crash Data Explorer for a different locality is converting crash and community boundary data for your locality into the GeoJSON formats required by Crash Data Explorer. Because data differs between states or localities it is not possible to provide a universal script for converting data, however example scripts are provided for Columbus Ohio. Yet as such, some ability with Python and Geopandas is required. Ultimately, your data must be converted into the following three .js files to be located in webapp/data/, which each defining a GeoJSON object that is used by Crash Data Explorer.
- cde_ped.js: Contains GeoJSON points and properties for pedestrian crashes
- cde_bike.js: Contains GeoJSON points and properties for bike crashes
- cde_comms.js: Contains GeoJSON polygons of communities for comparisons
Your raw crash data is likely to be in a CSV format. The example script which is used for Columbus Ohio crash data is util/convertrawcrashdata_example.py. The basic purpose of this file is to rename variables to those expected by Crash Data Explorer, and then to export the required two GeoJSON object files.
Your raw boundaries data is likely to be in shapefile format. The example script which is used for Columbus Ohio boundaries data is util/mergecommunityboundaries_example.py. It is expected that you will need to merge multiple shapefiles to allow for inner-city neighborhoods and suburban municipalities to be compared, however this of course depends greatly on the political geography of your locality. The basic purpose of this file is to merge two shapefiles, and then to export the required GeoJSON object.
After the three required data files are in place. The final step is to edit the js/config.js according to the comments in that code.
- Jonathan Stiles - Initial work - Jezras
This project is licensed under the GNU General Public License v3.0 - see the LICENSE.md file for details
Crash Data Explorer for Vision Zero is made possible in part thanks to the support and/or encouragement of the following:
- The Ohio State University
- The STEAM Factory
- The Center for Urban and Regional Analysis
- The Ohio Department of Transportation
- The City of Columbus
- The Mid-Ohio Regional Planning Commision