Car accidents cell phones
Download
1 / 17

Group1 2002 - PowerPoint PPT Presentation


  • 298 Views
  • Uploaded on

Car Accidents & Cell Phones. By: Hongtao Xu Sasha Hochstadt Logan McLeod Heather Samoville Christian Helland Meng Yu. Objective. Why? Recent Legislation Is it Valid? Justifiable? What? To determine a possible correlation between traffic fatalities and cell-phone users How?

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Group1 2002' - Pat_Xavi


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Car accidents cell phones l.jpg

Car Accidents & Cell Phones

By: Hongtao Xu

Sasha Hochstadt

Logan McLeod

Heather Samoville

Christian Helland

Meng Yu


Objective l.jpg
Objective

  • Why?

  • Recent Legislation

  • Is it Valid? Justifiable?

  • What?

  • To determine a possible correlation between traffic fatalities and cell-phone users

  • How?

  • Collect data of traffic fatalities and cell-phone subscription

  • Setup valid model and find relationship between them


Initial hypothesis l.jpg
Initial Hypothesis

  • Traffic accidents are increasing over time

  • After the introduction of cell phones traffic accidents will increase at a higher rate


Gathered data l.jpg
Gathered Data

  • Estimated # of Cell Phone Subscribers1985-2002

  • Traffic Fatalities1966-2000

  • # of Registered Vehicles1966-2000

  • # of Licensed drivers1966-2000

  • Resident Population 1966-2000

  • Fatality Rate per 100k Registered Vehicles 1966-2000


Modified hypothesis l.jpg
Modified Hypothesis

  • Findings:

    • Fatalities from car accidents are actually decreasing over time

    • Cell phone subscribers are increasing exponentially over time

  • As fatalities continue to decrease over time, the introduction cell phones will cause them to decrease at a slower rate

  • In order to show this we must compare the periods before and after cell phone use


Slide8 l.jpg

Fatalities as a Function in % Change of Cell Phone Subscribers

After

Cell

Phone

Use

LN(Fatalities)

Before

Cell

Phone

Use

Error

Year


Annual motor vehicle fatalities per registered vehicles l.jpg
Annual Motor Vehicle Fatalities per Registered Vehicles Subscribers

Before Cell Phone

After Cell Phone


Regression results in time series l.jpg
Regression Results in time series Subscribers

LN(FATALITY) = 75.5532 - 0.0364069*YEAR

LN(FATALITY) = 53.4660 - 0.0252678*YEAR

Before Cell Phone

After Cell Phone


Quantifying the cell phone effect l.jpg
Quantifying the Cell Phone Effect Subscribers

  • Extrapolate pre-cell phone regression into cell phone regression

  • Calculate expected # of fatalities and % difference from actual

  • Find relationship between % error and # of cell phone subscribers



Results l.jpg
Results Subscribers

FATALITY = -1.309 + 0.08443*LOG(CELLPHONE)


Slide15 l.jpg

Results Subscribers


Conclusions l.jpg
Conclusions Subscribers

  • A strong correlation between cell phone subscriptions & fatality rate exists.

  • Our model exhibits a logarithmic relationship.

  • We estimate that since 1991, cell phones have caused more than 40,000 deaths.


Questions l.jpg
Questions? Subscribers


ad