Motor Vehicle Injuries and Deaths from November 2018 — April 2019
It’s important for us as humans to have a greater awareness of our state of being in regards to understanding ourselves in relation to our surroundings.
In this thread of thought, we are interested in sharing our findings on the risks of travel by motor vehicles in the NYC 5-Borough Region.
We have created visualizations that show the occurrence of accidents by motor vehicles that resulted in damages of over $1000 in the last 6 months, specifically spanning the dates of November 1st, 2018 to April 21, 2019 reported by the Traffic Stat department of the NYPD.
This information was downloaded from the NYC Open Data portal, which is publicly available from the site courtesy of the NYC government.
We found it informative that there were more accidents than we ever imagined, and more casualties than we’ve ever thought for a space so local.
There were 111 deaths from November 1st, 2018 to April 21, 2019 due to motor vehicle accidents. The locations of those deaths are mapped to the left.
What can we deduce from the data?
It is not surprising that more accidents both with or without casualties tend to happen near major highways in highly trafficked areas.
101,304 is 1% of the population of NYC, which is 8 million.
What seems surprising is the sheer mass of casualties that NYC residents have never hear of from these accidents, yet other types casualty situations around the world are the contents broadcasted in the media.
There were 101,304 motor vehicle accidents total reported by the NYPD between Nov. 01, 2018 — Apr. 21, 2019. There were 20,008 cases of accidents resulting in injuries, which is 19.6% of all accidents, with 81,296 accidents resulting in no casualties.
Society’s knowledge of these facts can define the society’s awareness to its human condition. The next step is to define the affinity of influencing future outcomes.
It is possible to find patterns where city municipalities needs more work and more change. The data holds more clarity and more reasons for accountability for greater safety.
Click here for the Jupyter Notebook to see the code source.
