This document summarizes research on car theft in San Antonio from October to December 2013. The research included two surveys. Part I was a multiple choice survey that found most thefts occurred during morning and afternoon hours and involved trucks and SUVs. Part II used a Likert scale and found public education, schedules/locations, and funding were viewed as inadequate, while police staffing and utilization of resources were viewed as balanced. The results imply areas like education, locations, and funding allocation could be improved. Future research should narrow the area studied and involve personnel earlier in the survey design process.
DIVORZIO, COME FARE?
Questo è un prontuario utile per attivare la tua difesa tecnica nel divorzio e per orientarti velocemente in una materia complessa, ricca di prescrizioni normative, giurisprudenziali e prassi.
Qui troverai tutto quello che serve per iniziare ad organizzare la Tua difesa assistita da un avvocato, magari abilitato al gratuito patrocinio.
DIVORZIO, COME FARE?
Questo è un prontuario utile per attivare la tua difesa tecnica nel divorzio e per orientarti velocemente in una materia complessa, ricca di prescrizioni normative, giurisprudenziali e prassi.
Qui troverai tutto quello che serve per iniziare ad organizzare la Tua difesa assistita da un avvocato, magari abilitato al gratuito patrocinio.
eTourisme : des contenus pour générer de l’enthousiasme - François Houste - Y...YOODx
C’est la guerre pour l’attention des utilisateurs. L’internaute consomme beaucoup de contenus visuels, générateurs d’émotions. La forme attire, le contenu fidélise. Capter l’attention des utilisateurs nécessite des contenus attractifs pour attirer, et des contenus informatifs pour convaincre et fidéliser.
Une mise en forme soignée doit magnifier les contenus informatifs.
Il faut aussi adapter la forme en fonction du support et profiter des nouveaux formats (ex : la vidéo live), le tout avec une qualité technique irréprochable et une recherche d’engagement immédiat.
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Conférence donnée au YOODx Cannes #VEM8 le 18 janvier 2017
Evènement organisé par YOODA.com
Guida per scrivere il testamento: qui trovi le informazioni essenziali per tutti coloro che si chiedono come scrivere senza sbagliare il proprio testamento - i riferimenti di base necessari a esprimere con chiarezza e senza contraddizioni le proprie volontà testamentarie. Contiene esempi pratici.
Top 24 team in the High School Utah Entrepreneur Challenge 2017. The program is managed by the Lassonde Entrepreneur Institute at the University of Utah. Learn more at lassonde.utah.edu/hsuec.
Intelligence Led Policing for Police Decision MakersDeborah Osborne
Intelligence-Led Policing for Decision-Makers Webinar
Audio is at http://www.blogtalkradio.com/Deborah-Osborne/2009/09/23/Intelligence-Led-Policing-for-Decision-Makers-Webinar
This webinar, designed for law enforcement managers, covers the following topics:
* Intelligence: what it is, what it is not, and what it can be
* The role of the decision-maker in the intelligence cycle
* Defining Intelligence-Led Policing and the 3 i's cycle
* The 7 stages of Intelligence-Led Policing
* Resources for learning more about Intelligence-Led Policing
How to Deliver Data Insights by Fmr Google Sr Analytical LeadProduct School
Main takeaways:
- Aligning on an insights definition
- Establish customer / business context before jumping into the data
- Frame your investigation question
- Spend time sanity checking your data / apply street smarts logic
- Use customer / business context to guide exploratory analysis and record observations along the way
- Build a story outline with 1 - 5 supporting insights
- Transcribe the story outline to slide form
How do you align your innovation initiatives with the company's strategic intent? How do you push the companies boundaries yet maintain the essence of what the company does. You use Domaining as a key part of your innovation process.
2019 FPTA - Enhancing Cybersecurity in Public TransportationSean Barbeau
A presentation given at the 2019 Florida Public Transportation Association (FPTA) Annual Conference on a project "Enhancing Cybersecurity in Public Transportation", funded by the Florida Department of Transportation (FDOT) and National Center for Transit Research (NCTR).
eTourisme : des contenus pour générer de l’enthousiasme - François Houste - Y...YOODx
C’est la guerre pour l’attention des utilisateurs. L’internaute consomme beaucoup de contenus visuels, générateurs d’émotions. La forme attire, le contenu fidélise. Capter l’attention des utilisateurs nécessite des contenus attractifs pour attirer, et des contenus informatifs pour convaincre et fidéliser.
Une mise en forme soignée doit magnifier les contenus informatifs.
Il faut aussi adapter la forme en fonction du support et profiter des nouveaux formats (ex : la vidéo live), le tout avec une qualité technique irréprochable et une recherche d’engagement immédiat.
----------------------
Conférence donnée au YOODx Cannes #VEM8 le 18 janvier 2017
Evènement organisé par YOODA.com
Guida per scrivere il testamento: qui trovi le informazioni essenziali per tutti coloro che si chiedono come scrivere senza sbagliare il proprio testamento - i riferimenti di base necessari a esprimere con chiarezza e senza contraddizioni le proprie volontà testamentarie. Contiene esempi pratici.
Top 24 team in the High School Utah Entrepreneur Challenge 2017. The program is managed by the Lassonde Entrepreneur Institute at the University of Utah. Learn more at lassonde.utah.edu/hsuec.
Intelligence Led Policing for Police Decision MakersDeborah Osborne
Intelligence-Led Policing for Decision-Makers Webinar
Audio is at http://www.blogtalkradio.com/Deborah-Osborne/2009/09/23/Intelligence-Led-Policing-for-Decision-Makers-Webinar
This webinar, designed for law enforcement managers, covers the following topics:
* Intelligence: what it is, what it is not, and what it can be
* The role of the decision-maker in the intelligence cycle
* Defining Intelligence-Led Policing and the 3 i's cycle
* The 7 stages of Intelligence-Led Policing
* Resources for learning more about Intelligence-Led Policing
How to Deliver Data Insights by Fmr Google Sr Analytical LeadProduct School
Main takeaways:
- Aligning on an insights definition
- Establish customer / business context before jumping into the data
- Frame your investigation question
- Spend time sanity checking your data / apply street smarts logic
- Use customer / business context to guide exploratory analysis and record observations along the way
- Build a story outline with 1 - 5 supporting insights
- Transcribe the story outline to slide form
How do you align your innovation initiatives with the company's strategic intent? How do you push the companies boundaries yet maintain the essence of what the company does. You use Domaining as a key part of your innovation process.
2019 FPTA - Enhancing Cybersecurity in Public TransportationSean Barbeau
A presentation given at the 2019 Florida Public Transportation Association (FPTA) Annual Conference on a project "Enhancing Cybersecurity in Public Transportation", funded by the Florida Department of Transportation (FDOT) and National Center for Transit Research (NCTR).
Learn about key trends facing the mobile forensics industry this year, including growing device and data backlogs, cloud-based data, and how to manage large quantities of data from multiple disparate sources.
Autonomous Vehicles are Coming Sooner Than You Think. Are You Ready for the S...Sean M. Lyden
As a journalist, who has covered the fleet industry for over a decade, I spend a lot of time talking with smart people about the intersection of technology and transportation—specifically, the rise of vehicle automation and how that might impact our world in fleet safety. And that’s what we focus on in this talk, as I share with you what I’ve learned from my conversations and research.
Analysis of Machine Learning Algorithm with Road Accidents Data SetsDr. Amarjeet Singh
Beginning at now, street transport framework neglect to alter up to the exponential expansion in vehicular masses and to ascertaining the quickest driving courses and catastrophes inside observing differing traffic conditions is a critical issue right presently structures. To upset this issue is to explore the vehicle division dataset with bundle learning technique for finding the best street choice without calamity gauging by want aftereffects of best accuracy count by looking at oversaw AI figuring. In bits of information and AI, bundle strategies utilize diverse learning calculations to give indications of progress prudent execution. The assessment of dataset by facilitated AI technique (SMLT) to get two or three data takes after, factor perceiving proof, univariate evaluation, bivariate and multi-variate appraisal, missing worth medications and separate the information support, information cleaning/organizing and information perception will be done with everything taken into account given dataset. In addition, to look at and talk about the presentation of different AI figuring estimations from the given vehicle division dataset with assessment of GUI based street fiasco want by given attributes.
10 September 2018· Watch video· Take notes withfor students.docx
Week six team_a_presentation
1. Kirsten Coombs, Charles James, Rebecca Sanchez,
Andysheh Smith, Doug Smith
QNT/561
March 24, 2014
Dr. Johnnie Spraggins
Dude, Where’s My Car?
(Research Plan)
4. “Quantitative analysis of the security risks that enable organizations
to introduce optimum security solutions.”2
“Qualitative data cannot be measured on a natural numerical scale;
they can only be classified into categories.”3
“The Likert scale has many advantages that account for its
popularity. It is easy and quick to construct.”4
Rationale for Survey Types
5. Stolen Cars by the Hour:
October – December 2013
0
5
10
15
20
25
0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00
Reported Stolen Vehicles by Time
(Source: SAPD Q4 2013)
October November December
7. Most frequent time of day for downtown auto thefts:
Early morning and afternoons are the most
Generalized population sample:
Reports from 78204, 78205 and 78206
Cars stolen per hour between October and November: 4
Number of cars stolen in Q4 2013: 281
Peak time car has been stolen:
October: 2:18PM November: 1:54PM December: 12:54PM
Results’ Implications for SAPD
8. Part I of Survey – Multiple Choice
and Fill-in-the-Blank
1. Zip Code of last vehicle theft: 78204: 28.5% 78205: 43% 78206: 28.5%
2. Theft in progress or call from victim: In Progress: 46.7% Victim Call: 53.3%
3. Response Time of Day: 0100-0359: 40% 0600-0859: 26.7%
1200-1359: 13.3% 1800-1859: 6.7%
2100-2259: 13.3%
4. Number of Responses Monthly: 1-5: 21% 6-10: 36% 11-15: 21%
16-20: 15% 20+: 7%
5 & 6: Most stolen vehicle: Large Trucks/SUVs: 57% (Ford F150)
Smaller Vehicles: 43% (Honda Civic)
7. Theft Prevention: Install Alarm: 33% Lock Doors: 20%
Neighborhood Watch: 14% Others: 33% (All different)
9. Multiple Choice and Fill-in-the-Blank –
Justification for Questions
Questions 1 and 2: Zip Code of last vehicle theft and type of report:
First questions – Simple Multiple Choice to warm up to participant
Question 3: Response Time of Day:
Main Question – Heart of the problem statement
Asked only after trust earned from first two simple questions
Question 4: Number of Responses Monthly:
Multiple Choice – 5 Options (Slightly more difficult than first two questions)
Another trust-building question that also keeps the participants’ attention:
Questions 5 & 6: Most stolen vehicle
Another key question: Make and model with highest theft risk
Leads into theft prevention by creating an image and relating to crime
Question 7: Theft Prevention for Civilians:
Sense of Value and importance to public
Building further rapport in preparation of Likert Scale that follows
10. Time of day most vehicles are stolen can reveal when patrols may
need to be increased
Raises awareness to the department
Helps to reduce crime and raise public’s trust in SAPD
SAPD’s superior reputation may attract the best and brightest recruits
Knowledge of makes and models with the highest risk of theft may:
Inform the public that additional preventive measures should be taken
for vehicles identified as high risk
Build trust and positive relationships with San Antonio community
Strengthens SAPD’s mission of its dedication to “improve quality of life
by creating a safe environment” (City of San Antonio, 2013) for the
citizens of San Antonio
Part I Results’ Implications for SAPD
11. Part II of Survey – Likert Scale
Are the following adequate in regard to car theft?
a. Public education: SA1 A4 N2 D5 SD3
b. Police staffing: SA0 A7 N1 D4 SD3
c. Funding: SA0 A6 N3 D1 SD5
d. Schedules, Locations: SA0 A5 N3 D6 SD2
e. Technology (cameras) SA5 A6 N1 D2 SD1
f. Appropriate Utilization: SA0 A10 N1 D3 SD1
g. Individuals: SA4 A7 N1 D2 SD1
h. Organized Crime: SA5 A5 N3 D1 SD1
*Key: SA – Strongly Agree; A – Agree; N – Neither; D – Disagree; SD – Strongly Disagree
12. Rationale for Likert Scale Questions
Original Premise: Car thefts increase in relation to number of
patrols; technology is cheaper than adding staff.
Junior officer preliminary survey: Narrow focus, address
hypothesis and if other activities could achieve desired
results:
a. Increased public awareness campaign and advertising
c. Funding inappropriately allocated to other efforts.
d. All staff appropriately allocated (i.e., risky assignments ,
rotating shifts assigned with problem in mind).
f. Other resources utilized appropriately (i.e., training staff and
budget, bikes, foot patrol, patrol vehicles, patrol, on-person
cameras, performance improvement teams, etc…)
g., h. Demographics vs. Organized Crime. Should city dedicate
resources to relieving addiction, poverty, homeless and transient
populations.
13. Results’ Implications for SAPD
Primarily central tendency responses, equal number of “Agree” or “Disagree”
Exceptions:
Public education - inadequate
Police staffing - balanced
Funding - balanced
Schedules, Locations - inappropriate
Technology - inadequate
Appropriate utilization of other - appropriate
Demographics - strong correlation
Organized Crime - strong correlation
-Conclusion: Further research needed to identify appropriate focus on areas
identified.
-Would reverse Part I & II: place Likert first, then free-response questions.
14. OVERALL PICTURE
Cars are being stolen
During the day more cars are being stolen
Is there anything more police officers can be doing?
Is there anything more civilians can be doing?
Is the surrounding area and crimes have a factor
in car theft?
15. Research Results and Challenges
It showed that car theft happens all day but more
often during the day
Car theft is always adjusting and progressing with newer
cars
Too much area to research takes time and lots of data
16. Recommended Steps
for Future Research
Narrow the area down to a neighborhood or zip code
Start research earlier
Have personnel to give the survey to before making up the
survey
17. Reference Page
1. City of San Antonio. (2013). San Antonio Police Department.
Retrieved from
http://www.sanantonio.gov/SAPD/MissionStatement.aspx
2. Bojanc, R., & Jerman-Blažič, B. (2013). A Quantitative Model for
Information-Security Risk Management. Engineering
Management Journal, 25(2), 25-37.
3. McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for
business and economics. Boston: Prentice Hall.
4. Cooper, D. R., & Schindler, P. S. (2011). Chapter 12. Measurement
Scales. In Business research methods (11th ed., p. 301). New
York: McGraw-Hill/Irwin.