1. Alcohol Issues in Santa BarbaraBy
Adam Eversole
Annie Huynh
Jennifer Taylor

2. Motivation
Use GIS to discover new spatial patterns and distribution of alcohol related activities in the Santa Barbara area.
View and interpret patterns and find applications
Increase safety and awareness regarding alcohol related issues.
Do schoolwork on the weekends
Satisfy curiosity

3. Objectives
Finding a possible correlation between locations of distributors and law offences
See how alcohol activities related to social factors such as age, race and various other factors.
Describe temporal relationship to law offences
Make findings available on web to public and law enforcers

4. Data
Police Departments (UCSB from Officer Matt Bowman and IV Foot Patrol)
Excel spreadsheet- with addresses, type of offence and time and date
California ABC (Alcoholic Beverage Control, David Kurano)
Text file for all alcohol licenses in CA – with addresses, license types, owners name.

5. Data Data from 176b: Santa Barbara streets (shapefile)
Census (coverage)

6. Study Area Santa Barbara Goleta and Isla Vista area.
With focus on police data in the Isla Vista and Goleta areas

7. Methods Geocode addresses Find Surface Density using Kernels
We matched the information from the police data and ABC data to the street network.
Find Surface Density using Kernels
For distributors and incidences.
Data Overlay for visualization
A good way to familiarize yourself with data and visualize trends.

8. Methods (continued) Near Tool Attribute selection
Joined the incidents and distributors to the Census data
In order to find correlation graphs between demographics and locations.
Near Tool
As an alternative to Point Polygon and buffer (as originally intended) to find distance from incidents to the closest distributors.
Attribute selection
To create a temporal display of incidents.

9. Results and Discussion
Questions to answer about Drinking Incidents?
Where do alcohol related incidents Happen?
Why do they happen where they do?
When do they happen?

10. Geocoded Results

11. Incidents Map of IV

12. Surface Density of Incidences

13. Why do they happen where they do?

14. Only 15% Of all Incidents fell in areas where the population was composed of more than 20% Hispanic

15. 73% of incidents fell in areas where more than 70% of the people where never married

16. Also 73% of the incidents happened in areas where people between the age of 18 and 29 comprised more than 70% of the census tract population

17. A Issue of Skew
High percentages of incidents where found in Isla Vista where the demographics are young, never married, and predominately non Hispanic.
The demographics of IV do appeal to drinking and partying. (obviously)
What else?..

18. Skew of Density of Police Data.
We had incomplete police data over the whole of Santa Barbara
Incidents Missing from SBPD, CHP and Goleta Police
Still more questions?
Are police Geo Profiling in IV?
Are they social profiling in Minority areas?

19. What is the Density of Alcoholic Beverage Distributors?

20. How Far are Incidents to Distributors?

21. A little Bit of “Tobler”
17% of incidents happened within 20m to a distributor.
28% happened within 100m.
74% happened within 209m (1/4 mile.)
92% happened within 401m (1/2 mile.)
And one event happened near sands, it was the only one more than a mile from a distributor.

22. How Far are Different Types of Incidents
DUI’s on average where 309 m away.
MIP’s on average where 327 m away.
DIP’s on average where 296 m away.

23. Take a look at larger area Relate Distributors to demographics
Distance from Distributors Seems to Be a Factor for Producing Incidents.
Take a look at larger area
Relate Distributors to demographics
Assume incidents follow proximity of distributors
Issues with Distributors
Volume of alcohol dispensed
Vague license classification. i.e. liquor stores and markets are in same category

24. Half of Distributors fall in areas with more than 39% Hispanic

25. Half Distributors fall in areas where more than 26% of people where never married.

26. Half of distributors fall in areas where more than 28% are between the age of 18-29

27. When do Events Happen?

28. Distribution of Incidences by Day of the Week

29. Conclusion What we found from the study. Distance counts Demographics
Locations tend to be in higher Hispanic populations areas
Incidents tend to be in Areas with young singles
Time of day and week,
Saturday at 11pm is most popular time for people getting in trouble for drinking.

30. Saving More for the Future.
Time
We ran out of time to do everything we planned.
As we discovered more we acquired more questions to be answered.
Interopability
More time and training to deal with data formatting problems within Arcmap and Excel.
Acquire more accurate data.
Better streets layer that is more accurate.
More recent census data.
More time to to get better records from law officials (2 out of 4 department is area not good enough)

31. Take surveys of Alcoholic distributors
Still More to Do
Help coordinate police data and produce a single working set of criminal activities for the region.
Take surveys of Alcoholic distributors
Better our classifications of store type
Find Alcohol volumes dispensed.
Possible GPS survey of drunks and cops.
Make a predictive model.

32. Applications and Uses for This Study.
Use for the University
Post results in dorms for awareness
Help stop alcohol abuse
Provide help to people in troubled areas at peak times.

33. More Applications Use for police By general public Local business
In general crime analysis
For scheduling personal and patrols
By general public
How not to get arrested
For general concern of safety
Local business
Advertising, store locations.

34. The End