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An Analysis of Car Accidents in NYC

Info Tech Group Project

Yucheng Wang

on 1 July 2013

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Transcript of An Analysis of Car Accidents in NYC

Info Tech Group Project
Major Questions
Jerry Wang, Jenny Yao, Richard Jiang, Victor Chen
Bronx, Broklyn, Manhattan, Queens, Staten Island

A Look into Car Accidents in NYC
Income Level

Education Level
How are the numbers of car accidents for the five boroughs different from each other?
What potential factors could account for such a difference between the five boroughs? Is there any correlation between each of these factors and the number of car accidents for these areas?

The Five Boroughs in NYC:
An Analysis of # of Car Accidents in NYC
Historcal Time: December 2012
NYC Open Data
United States Census Bureau
Income Level
Education Level
Street Condition
Graffiti Prevalence
# of Wifi Hotspots
# of Parking Facilities
# of Crimes Per Person
Areas of Park/ Green Space
Graffiti Prevalence
Wifi Hotspots
# of Crimes per Person
# of Parks
Street Condition
Potential Factors that affect # of Car Accidents:
Major Questions
A Look into Car Accidents in NYC
Examination of Potential Factors
Analysis and Discussion

# of Parking Facilities
Analysis and Discussion
Overall, an area with more population tends to have more accidents in the region.

An area with a higher average income level tends to have a higher number of accident.

We observe a positive correlation between high school graduation rate and the number of accident in a region.

Bad street condition is correlated with higher frequency of car accidents in an area.
Graffiti is more prevalent in places with lower population density because of lower possibility of exposing graffiti drawers to the public eye. Lower population density might imply less traffic and thus fewer accidents.

More Wifi hotspots are available in areas that are densely occupied by office buildings and shopping malls. Due to large number of working professionals and travellers in such areas, the traffic tends to be busy throughout the day, making traffic accidents more likely.

In Manhattan and Queens, the number of crimes and number of accidents are strongly correlated. In Brooklyn and Bronx, due to a relatively lower income level and educational level in general, the percentage of residents who can afford a car is lower than in Manhattan and Queens, and the crime rate is higher. That gives rise to lower traffic and thus fewer accidents. In Staten Island, there are many middle class professionals who can afford a car. The traffic accidents can therefore become higher.

For Queens, Staten Island, and Brooklyn, their area of green space in boroughs has positive relation to their total numbers of monthly car accidents. Nonetheless, for Manhattan and Bronx there is probably another factor at play, making them not fit in the former correlation.
Parking facilities concentrated in area where retains more population flow during day and night. Car accident rate is higher in such area that population traffic happens more frequently.

We organized our findings into three groups:
1. Wifi Hotspots and Parking Facilities
2. High School Graduation, Income Level
3. Population, # of Crimes per Person, Areas of Park/ Green Space, Street Condition
Thank you!
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