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Public Safety and Traffic Accident Records
Public Safety & Security
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About
Emergency 911 calls serve as a critical indicator of public safety incidents, traffic emergencies, and medical requirements within a community. Analysis of this frequency data allows for a deeper understanding of incident patterns, response requirements, and common emergency causes. This dataset provides a detailed record of emergency calls, capturing specific reasons for the dispatch, precise locations including coordinates and townships, and the exact timestamps of every incident. It enables rigorous exploratory data analysis to identify trends over time and geographical hotspots for various types of emergencies.
Columns
- lat: Latitude of the location.
- lng: Longitude of the location.
- desc: Description of the Emergency Call (contains details such as the specific station or intersection).
- zip: Zipcode of the location.
- title: Description of the reason for the call (categorised into major groups like Traffic, Fire, or EMS).
- timeStamp: Time of the incident recorded in YYYY-MM-DD HH:MM:SS format.
- twp: Township of the caller.
- addr: Address of the caller.
- e: Dummy variable (consistently set to 1 for counting purposes).
Distribution
- Format: CSV
- Size: 18.38 MB
- Structure: The dataset contains approximately 99,492 rows and 9 columns.
- Data Quality: The dataset exhibits high validity across most columns, with latitude and longitude showing 100% validity. The address and zipcode fields have minor missing values (approximately 1% and 13% respectively).
Usage
- Data Analytics and Visualisation: Creating heatmaps of accident hotspots or temporal charts of call frequencies.
- Exploratory Data Analysis (EDA): Investigating correlations between time of day, seasons, and specific types of emergencies (e.g., vehicle accidents vs. medical emergencies).
- Public Safety Planning: Assisting emergency services in resource allocation based on historical call volume and location data.
- Smart City Research: Analysing traffic-related incidents to improve road safety infrastructure.
Coverage
- Geographic Scope: The data focuses on specific townships, including Lower Merion and Abington, with latitude coordinates centered around a mean of -75.3.
- Time Range: The dataset covers incidents from 10 December 2015 to 24 August 2016.
- Demographic Scope: Covers residents and commuters within the recorded townships and zip codes during the specified period.
License
CC0: Public Domain
Who Can Use It
- Data Analysts and Scientists
- Urban Planners
- Emergency Services Directors
- Traffic Safety Engineers
- Civic Hackers and Researchers
Dataset Name Suggestions
- 911 Emergency Call Frequency and Metrics
- Emergency Incident Response Data 2015-2016
- Township Emergency Dispatch Log
- Public Safety and Traffic Accident Records
Attributes
Original Data Source: Public Safety and Traffic Accident Records
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