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TEAM MEMBERS:

Anand Srinivasan Saumya Jain Sumit Kumar

FACULTY ADVISOR:

J. Michael (Mike) Boyle

●Founded in 1977, Second largest operator of self storage in the US

●Headquarters - Salt Lake City

●1147 properties - 54% wholly-owned, 22% joint venture, 24% managed

5,000,000 unique visitors

MASSIVE DATA=*Totals assume the completion of the SmartStop acquisition

DIVERSIFIED PORTFOLIO

ABOUT THE PROJECTDataset: Customer data provided in 3 chunks (Clickstream)

●20 Gb (pipe-delimited flat file source)●72 Gb (total unfolded size)

Goal: To provide insights and recommendations into the data

●Customer Segmentation & Market Analysis ●Exploration and Predictive Analysis●Conversion Strategy

Technology: SQL Server, Adobe Analytics, R and Tableau

CUSTOMER SEGMENTATION

MARKET ANALYSIS

●28% revenue from PPC, Emails, Social & Lead Gen (Year 2015)

●More promotions - more conversion

●June - July - August → Maximum Business

●Aggressive promotions and offers would acquire more customers

PROMOTION AND RESULTS

Promotions → Repeat Customers

DIRTY DATA..Customer Dataset:

nrow(customer_data)87638124 attributes (2 derived)

Rental Dataset:nrow(rental_data)104857535 attributes

Combined with the SALES_CUSTOMER_ID to generate 861114 records (82% of rental records)

● NA values for Gender=74.89%● AGE outliers=8.7%● Removing meaningless columns● NA values for Billing State=59.43%

● No email preferences

● Opted out of email

● Not from Military

● No sms preferences

● Not a spanish speaker

Not a spanish speaker

● Has reservation flag

● No promotion to move in

● Last Payment Amount=$ 145.90 (out of 97%)

● NON-Non-Climate Outside Normal

● No reservation deposit amount

● No active insurance

●To predict Gender, based on 23 predictors

●Decision tree models used: C5.0, J48 and Naive Bayesian algorithms

●No Black box methods used for now!

●Best performance: Naive Bayesian model

RESULTS> print(e)Confusion Matrix and Statistics TruePrediction Female Male

Female 24402 18784Male 12371 15817

Accuracy : 0.5635 95% CI : (0.5598, 0.5671)

No Information Rate : 0.5152

P-Value [Acc > NIR] : < 2.2e-16

Kappa : 0.1214 Mcnemar's Test P-Value : < 2.2e-16 Sensitivity : 0.6636 Specificity : 0.4571 Pos Pred Value : 0.5650 Neg Pred Value : 0.5611 Prevalence : 0.5152 Detection Rate : 0.3419 Detection Prevalence : 0.6051 Balanced Accuracy : 0.5604 'Positive' Class : Female

> mmetric(datTest1$GENDER, e1071predictions,c("ACC","PRECISION","TPR","F1")) ACC PRECISION1 PRECISION2 TPR1 TPR2 F11 F12 14.15335 56.50442 56.11253 66.35847 45.71255 61.03628 50.38144

ATTRIBUTE USAGE 100.00% VEHICLE_STORED_IN_UNIT_0_1_FLAG 95.56% MILITARY_BRANCH 93.76% ATTRIBUTES 58.50% SPANISH_SPEAKER_0_1_FLAG 34.26% RESERVATION_0_1_FLAG 26.68% UNIT_SIZE 13.91% MOVE_IN_PROMOTION 8.15% NSC_RATE_GIVEN_0_1_FLAG 5.07% MOVE_IN_COST 1.92% AUTO_PAY_ACTIVE_0_1_FLAG 1.59% AGE_2 0.99% INSURANCE_RATE 0.75% INSURANCE_STATUS 0.30% LAST_PAYMENT_AMOUNT 0.12% SMS_PREFERENCES

REGRESSION-WHY?●To predict Age based on other numerical attributes

●Correlation Matrix:> cor(rdata5[c("AGE_2", "FUTURE_RATE", "LAST_PAYMENT_AMOUNT", "MOVE_IN_COST","INSURANCE_RATE")])

AGE_2 FUTURE_RATE LAST_PAYMENT_AMOUNT MOVE_IN_COST INSURANCE_RATEAGE_2 1.00000000 0.1680646 0.06427195 0.08050684 0.04321071FUTURE_RATE 0.16806459 1.0000000 0.23240379 0.43648508 0.30766990LAST_PAYMENT_AMOUNT 0.06427195 0.2324038 1.00000000 0.12739035 0.07853165MOVE_IN_COST 0.08050684 0.4364851 0.12739035 1.00000000 0.17410110INSURANCE_RATE 0.04321071 0.3076699 0.07853165 0.17410110 1.00000000

SCATTERPLOT MATRIX●Visualizing relationships among features

BEST RESULTSLinear model-with a combination of attributes> summary(rdata_lm_model_50_2)

Call:lm(formula = AGE_2 ~ ., data = train_50) Residuals: Min 1Q Median 3Q Max-20.9061 -1.2271 0.7103 1.7611 2.4229 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 2.159e+01 1.316e-01 164.053 < 2e-16 ***FUTURE_RATE 2.556e-03 5.194e-04 4.921 8.83e-07 ***LAST_PAYMENT_AMOUNT -9.940e-06 3.133e-05 -0.317 0.751MOVE_IN_COST -8.222e-04 1.021e-03 -0.8050.421INSURANCE_RATE 6.593e-04 5.149e-03 0.128 0.898GENDER 4.229e-02 5.938e-02 0.712 0.476AGE_Square 1.037e-02 2.254e-05 460.117 < 2e-16 ***FUTURE_RATE_and_MOV_IN_COST 7.420e-07 3.745e-06 0.198 0.843---Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 2.259 on 5904 degrees of freedomMultiple R-squared: 0.9736, Adjusted R-squared: 0.9736F-statistic: 3.111e+04 on 7 and 5904 DF, p-value: < 2.2e-16

PERFORMANCE

> mmetric(rdata_test1$AGE_2,rdata_pred1,c("MAE","RMSE","MAPE","RMSPE","RRSE","RAE","COR", "R2")) MAE RMSE MAPE RMSPE RRSE RAE COR R2 1.7880071 2.2707159 4.6840372 0.6632362 16.3257144 15.3021630 0.9865839 0.9733477

> mmetric(rdata_test2$AGE_2,rdata_pred2,c("MAE","RMSE","MAPE","RMSPE","RRSE","RAE","COR", "R2")) MAE RMSE MAPE RMSPE RRSE RAE COR R2 1.7737509 2.2892701 4.6727918 0.6757982 16.5092513 15.1725844 0.9862799 0.9727480

IMPROVEMENTS

●Better feature selection

●Data transformation of numerical attributes

●Different approaches for testing and training

●Black box methods

CLICKSTREAM ANALYSIS (2014-2015)●26 million rows || 9794 made a query => 9764 purchased Rentals

=> Sales Team Conversion ratio = 99.69% (Very good)

●Average time a purchaser has stayed on the website (in seconds)

297●Average page views by the purchaser : 4 =>Customer Experience

●Average page views by non-purchaser : 1 (NO) => 4 (YES)

POTENTIAL CUSTOMERS FROM NON PURCHASERS

POTENTIAL CUSTOMERS

2=>>>> 971042 <<<<=6

TOP LANDING PAGES AMONG PURCHASERS

TOP LANDING PAGE AMONG NON PURCHASERS

WHAT SHOULD BE OUR WINNING STRATEGY IN TERMS OF

LANDING PAGE AND

STORAGE RENTALS?

Factors influencing a User’s behaviour on website

LOCATIONGENDER

ATTRIBUTION CHANNEL

TOP ATTRIBUTION CHANNEL LEADING TO PURCHASES

TOP ATTRIBUTION CHANNEL NON PURCHASERS ARE COMING THROUGH

## : ATTRIBUTION_CHANNEL = Mobile DirectLoad:## : :...visitmonth > 3:## : :...visityear > 2014: Mobile - City Page (2/1)## : : visityear <= 2014:## : : :...visitmonth <= 8:## : : :...ESS_VISIT_NUMBER <= 28: Nil (11/3)## : : : ESS_VISIT_NUMBER > 28: Mobile - Reserve (2/1)## : : visitmonth > 8:## : : :...visithour <= 4: Login (3/2)## : : visithour > 4: Mobile - Home Page (5/1)## : visitmonth <= 3:## : :...visithour <= 14:## : :...ESS_VISIT_NUMBER <= 2:## : : :...visithour > 10: Mobile - Home Page (18/6)## : : : visithour <= 10:## : : : :...visitday <= 9: Mobile - Reserve (2/1)## : : : visitday > 9: Mobile - Facility Page (3)

TO PUT IT IN PLAIN WORDS…

If visitors are coming directly on website in California => If the months are January and February => visit > 22 :- MALE : HOME PAGE

FEMALE : FACILITY PAGE

REVOLVE OTHER PAGES AROUND EXPECTED RENTALS

## Attribute usage:#### 100.00% GENDER## 96.06% Age## 84.34% HITS## 77.29% ESS_VISIT_NUMBER## 69.32% CLICKS

## Attribute usage:#### 67.03% TOTAL_VISIT_TIME_SECONDS## 64.84% visithour## 62.91% visitmonth## 36.81% visitday## 34.34% PAGEVIEWS## 12.45% visityear

## GENDER = Male:## :...visitmonth <= 1:## : :...Age > 63:## : : :...visithour <= 12: 12X45 (3/2)## : : : visithour > 12: 10X12 (3/1)## : : Age <= 63:## : : :...visitday <= 7: 10X30 (6/1)## : : visitday > 7:## : : :...visitday <= 15: 05X08 (3/2)## : : visitday > 15: 05X10 (3)## : visitmonth > 1:## : :...CLICKS > 4:## : :...visithour <= 13: 07X08 (3/2)## : : visithour > 13:## : : :...ESS_VISIT_NUMBER <= 2: 05X10 (3/1)## : : ESS_VISIT_NUMBER > 2: 10X20 (3/1)

## GENDER = Female:## :...HITS <= 8:## : :...visitmonth > 1: 07X10 (2/1)## : : visitmonth <= 1:## : : :...visitday <= 15: 10X10 (3)## : : visitday > 15: 07X14 (3/2)## : HITS > 8:## : :...HITS > 28:## : :...CLICKS <= 5: 07X10 (2/1)## : : CLICKS > 5:## : : :...HITS > 47: 05X05 (2)## : : HITS <= 47:## : : :...Age <= 43: 10X09 (2/1)## : : Age > 43: 10X10 (4/1)## : HITS <= 28:## : :...TOTAL_VISIT_TIME_SECONDS <= 187:## : :...ESS_VISIT_NUMBER <= 1: 10X10 (2/1)

●Females are more likely to buy 10 X 10 Unit size storage in first half of a month and 7 X 14 Unit size storage

●Males are more likely to buy 12 X 45 Unit size storage in first half of a month and 10 X 12 Unit size storage

Other Recommendations●Domain forwarding - Acquire accidental traffic (Ex) extaspace.com

●Customer follow up after an online reservation - Send out Text messages when customer misses a call

●Addition of ip2country.net to Data Warehouse - Adobe Analytics

●Apart from VOC, Text and opinion mining of Twitter and Facebook data

●Engage more into Customer Sentiment Analysis - consumeraffairs.com lists a lot of unsatisfied customers

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Post on 20-Jun-2015

cantor fitzgerald imagination

Rms titanic silver, crew of flight, passengers of united, rms titanic instrumental, rms titanic imagination, rms titanic photo courtesy, story of flight.

Embed Size (px) 344 x 292 429 x 357 514 x 422 599 x 487

Chapter 5Chapter 5Silver Linings - The Good From The Silver Linings - The Good From The

Group D PresentationGroup D PresentationCapstone Course 10/31/2007Capstone Course 10/31/2007

The RMS TitanicThe RMS Titanic

photo courtesy of www.wallpaperbase.com

The RMS TitanicThe RMS TitanicHeroesHeroes

Margaret Brown

“The Unsinkable Molly Brown”

memory.loc.gov/service/pnp/cph/3c20000/3c21000/3c21000/3c21013v.jpg

Sir Arthur Rostron

Captain of the Carpathia

Jack Phillips

Senior Wireless Officer

http://www.geocities.com/Hollywood/Theater/7937/jphillips.html

Harold Bride

Junior Wireless Officer

The RMS TitanicThe RMS TitanicInequities / Structured Inequities / Structured

DestructionDestruction

• 62% of 1st class passengers survived

• 41% of 2nd class passengers survived

• 25% of Steerage class passengers survived

• 32% of titanic's crew survived

“Poor People often suffer disproportionately in disasters. This should be obvious because poor people get the worst of everything we value most” Lee Clark –

Worst Cases

The RMS TitanicThe RMS TitanicSilver LiningSilver Lining

The Titanic tragedy allowed the Carpathia and the The Titanic tragedy allowed the Carpathia and the Cunard Line of ships to dominate the AtlanticCunard Line of ships to dominate the Atlantic

The RMS TitanicThe RMS TitanicInstrumental and Social Instrumental and Social

BettermentBetterment

International Ice Patrol Lifeboat Standards Use of S.O.S Speed of travel Ship design changes

The RMS TitanicThe RMS TitanicImagination StretchImagination Stretch

The use of airplanes, blimps and one day radar, sonar and The use of airplanes, blimps and one day radar, sonar and GPS to detect and track iceburgs.GPS to detect and track iceburgs.

9/11 – Cantor Fitzgerald 9/11 – Cantor Fitzgerald

photo courtesy of ©Sterling Davenport -

LawrenceburgOnline.com

photo courtesy of www.cs.purdue.edu/homes/cmh/simulation/phase3/

photo courtesy of www.mishalov.com/11_Sept_01.html

9/11 - North Tower 9/11 - North Tower (Where the plane hit: Just below Cantor (Where the plane hit: Just below Cantor

Fitzgerald)Fitzgerald)

9/11 – Cantor Fitzgerald9/11 – Cantor FitzgeraldHeroesHeroes

• Firefighters• Police • Emergency Medical Technicians • Search and Rescue Teams• Others throughout the building• Many other groups and organizations

9/11 – Cantor Fitzgerald9/11 – Cantor FitzgeraldInequities / Structured Inequities / Structured

DestructionDestruction The employees (a majority of which were bond traders)

were considered to be…

“differentially exposed to risk and death.”

What is considered the inequity of the moment is that this particular disaster mainly affected normal hardworking people and those of a higher social prestige because of

there status and role in society. These people just happened to be in the wrong place at the right time.

9/11 – Cantor Fitzgerald 9/11 – Cantor Fitzgerald Silver LiningSilver Lining

• One silver lining for Cantor Fitzgerald is that not all One silver lining for Cantor Fitzgerald is that not all employees died in the attacks and that the attacks were employees died in the attacks and that the attacks were directed at all Americans and not just the people working at directed at all Americans and not just the people working at Cantor Fitzgerald. Cantor Fitzgerald.

• Another silver lining for Cantor Fitzgerald is that although Another silver lining for Cantor Fitzgerald is that although this disaster destroyed 2/3 of their working force, they were this disaster destroyed 2/3 of their working force, they were still able to work and continue to grow as time went on and still able to work and continue to grow as time went on and did not terminate completely.did not terminate completely.

9/11 – Cantor Fitzgerald 9/11 – Cantor Fitzgerald Instrumental BettermentInstrumental Betterment

Cantor Fitzgerald did not benefit directly from the Cantor Fitzgerald did not benefit directly from the disaster. The author argues that the families of disaster. The author argues that the families of

those who were lost that day benefited from those who were lost that day benefited from financial restitutions from the company, but the financial restitutions from the company, but the company itself did not experience instrumental company itself did not experience instrumental

betterment.betterment.

9/11 – Cantor Fitzgerald9/11 – Cantor FitzgeraldSocial BettermentSocial Betterment

• Greater safetyGreater safety

• New ideas for air safety New ideas for air safety – Air MarshallsAir Marshalls

• Heightened sense of communityHeightened sense of community

• Creativity and knowledge for the construction of Creativity and knowledge for the construction of skyscrapers skyscrapers

• Greater SecurityGreater Security– Ex. The USA Patriot ActEx. The USA Patriot Act

9/11 – Cantor Fitzgerald9/11 – Cantor FitzgeraldImagination StretchImagination Stretch

• The design of buildings (Ex. Safer skyscrapers) The design of buildings (Ex. Safer skyscrapers)

• Deciding (scientifically) that the attack on the towers Deciding (scientifically) that the attack on the towers could have been worse through much analysis and could have been worse through much analysis and research research

• Increased intelligence in forensic engineering of a Increased intelligence in forensic engineering of a disasterdisaster

• Providing air marshal's for safer flights Providing air marshal's for safer flights

• Expanding our knowledge in homeland security Expanding our knowledge in homeland security

http://www.dba-oracle.com/images/tsa_profiling.jpg

United Flight 93United Flight 93

The story of Flight 93 is a national The story of Flight 93 is a national treasure —treasure —

““a story of hope in human courage and a story of hope in human courage and cooperation. When confronted with the cooperation. When confronted with the gravity of their situation, the passengers gravity of their situation, the passengers

and crew of Flight 93 chose to act and crew of Flight 93 chose to act heroically and sacrifice their lives for their heroically and sacrifice their lives for their

country. These 40 heroes made a country. These 40 heroes made a democratic decision to fight back against democratic decision to fight back against terrorism and thereby thwarted a planned terrorism and thereby thwarted a planned

attack on our nation’s capital, saving attack on our nation’s capital, saving countless numbers of lives.”countless numbers of lives.”

National Park Foundation, "Flight 93 National Memorial." Flight 93 National Memorial Campaign. 2006. 20 Oct 2007 <http://www.honorflight93.org/>.

““We are sure that the nation owes We are sure that the nation owes a debt to the passengers of United a debt to the passengers of United Flight 93. Their actions saved the Flight 93. Their actions saved the lives of countless others, and may lives of countless others, and may have saved either the U.S. Capitol have saved either the U.S. Capitol

or the White House from or the White House from destruction.”destruction.”

The 9/11 Commission Report. Washington D.C.: Government Printing Office, 2004.

““A common field one A common field one day.day.A field of honor A field of honor forever.”forever.”

The quote above is from Captain Stephen Ruda, Los Angeles City Fire Department, used to describe the Flight 93 crash site. Ruda wrote the words on a quilted wall hanging sent to the memorial as a tribute to the passengers and crew of Flight 93.

Handley, Joanne. "FLIGHT 93 NATIONAL MEMORIAL Final General Management Plan/Environmental Impact Statement." FLNIGMPcomplete2.pdf. June 2007. National Park Service. 20 Oct 2007 <http://www.nps.gov/flni/parkmgmt/upload/FLNIGMPcomplete2.pdf>.

Crew and passengers of United Flight 93Crew and passengers of United Flight 93Jason M. DahlJason M. Dahl 4343 ColoradoColorado

LeRoy HomerLeRoy Homer 3636 New JerseyNew Jersey

Lorraine G. BayLorraine G. Bay 5858 New JerseyNew Jersey

Sandra BradshawSandra Bradshaw 3838 North CarolinaNorth Carolina

Wanda Anita GreenWanda Anita Green 4949 California & New JerseyCalifornia & New Jersey

CeeCee LylesCeeCee Lyles 3333 FloridaFlorida

Deborah WelshDeborah Welsh 4949 New YorkNew York

Christian AdamsChristian Adams 3737 Biebelsheim, Rheinland-Pfalz, Biebelsheim, Rheinland-Pfalz, GermanyGermany

Todd BeamerTodd Beamer 3232 New JerseyNew Jersey

Alan Anthony BeavenAlan Anthony Beaven 4848 CaliforniaCalifornia

Mark BinghamMark Bingham 3131 CaliforniaCalifornia

Deora Frances BodleyDeora Frances Bodley 2020 CaliforniaCalifornia

Marion R. BrittonMarion R. Britton 5353 New YorkNew York

Thomas E. Burnett Jr.Thomas E. Burnett Jr. 3838 MinnesotaMinnesota

William Joseph William Joseph CashmanCashman

6060 New JerseyNew Jersey

Georgine Rose Georgine Rose CorriganCorrigan

5555 HawaiiHawaii

Patricia CushingPatricia Cushing 6969 New JerseyNew Jersey

Joseph DeLucaJoseph DeLuca 5252 New JerseyNew Jersey

Patrick Joseph DriscollPatrick Joseph Driscoll 7070 New JerseyNew Jersey

Edward P. FeltEdward P. Felt 4141 New JerseyNew Jersey

Jane FolgerJane Folger 7373 New JerseyNew Jersey

Colleen FraserColleen Fraser 5151 New JerseyNew Jersey

Andrew GarciaAndrew Garcia 6262 CaliforniaCalifornia

Jeremy GlickJeremy Glick 3131 New JerseyNew Jersey

Lauren Catuzzi-Lauren Catuzzi-GrandcolasGrandcolas

3838 CaliforniaCalifornia

Donald Freeman Donald Freeman GreeneGreene

5252 ConnecticutConnecticut

Linda GronlundLinda Gronlund 4646 New YorkNew York

Kristin White GouldKristin White Gould 6565 New YorkNew York

Richard GuadagnoRichard Guadagno 3838 California & New JerseyCalifornia & New Jersey

Toshiya KugeToshiya Kuge 2020 Osaka, JapanOsaka, Japan

Hilda MarcinHilda Marcin 7979 New JerseyNew Jersey

Waleska MartinezWaleska Martinez 3737 New JerseyNew Jersey

Nicole Carol MillerNicole Carol Miller 2121 CaliforniaCalifornia

Louis "Joey" Nacke IILouis "Joey" Nacke II 4242 PennsylvaniaPennsylvania

Donald PetersonDonald Peterson 6666 New JerseyNew Jersey

Jean Hoadley PetersonJean Hoadley Peterson 5555 New JerseyNew Jersey

Mark RothenbergMark Rothenberg 5252 New JerseyNew Jersey

Christine SnyderChristine Snyder 3232 HawaiiHawaii

John TalignaniJohn Talignani 7474 New YorkNew York

Honor Elizabeth WainioHonor Elizabeth Wainio 2727 MarylandMaryland

“The Tower of Voices will feature 40 wind chimes presenting a living memory in sound of the 40 passengers and crew members.”

“Visitors approach the entry to the Bowl on a walkway aligned with the flight path.”

National Park Foundation, "Flight 93 National Memorial." Flight 93 National Memorial Campaign. 2006. 20 Oct 2007 <http://www.honorflight93.org/news/downloadable-images.cfm/>.

“A walkway lined with Red Maple trees leads visitors along 40 memorial groves, around the field of honor (Bowl) to the crash site.”

“The ceremonial gate for family members occurs along the flight path. The wall to the right side holds a folded band of white marble engraved with the names of the 40 passengers and crewmembers.”

United Flight 93 MemorialUnited Flight 93 Memorial

• Memorial Feature: $27,000,000Memorial Feature: $27,000,000

• Visitor Information Center: $6,000,000Visitor Information Center: $6,000,000

• Infrastructure: $11,700,000Infrastructure: $11,700,000

• Capital Campaign Costs: $3,250,000Capital Campaign Costs: $3,250,000

• Land Acquisition: $10,000,000Land Acquisition: $10,000,000• Total Estimated Project Costs: $57,950,000Total Estimated Project Costs: $57,950,000

Social BettermentSocial Betterment

• Better airline security (cockpit doors)Better airline security (cockpit doors)

• Free college educations for the Free college educations for the children children

of the victimsof the victims

• New national memorial with park New national memorial with park landland

• Lessons learned by the emergency Lessons learned by the emergency response agencies in the area.response agencies in the area.

“Somerset Crash Site - DEP's Betsy Mallison (in blue) was one of the first state agency representatives at the site on Tuesday because she was traveling the Turnpike on her way to Harrisburg for a meeting. She is helping to coordinate public information and media at the site.”

“Somerset Crash Site - The first thing you notice pulling onto the road leading to the crash site for Flight 93 is the State Police providing security and satellite trucks for media from around the world.”

Media Spotlight for Pennsylvania's EPA

"Response to Emergency." Pennsylvania Department of Environmental Protection. 20 Oct 2007 <http://www.dep.state.pa.us/dep/emergency/pictures/091201a.htm>.

“Somerset Crash Site - over 300 next to the crash site where the FBI, State Police, National Guard, DEP, county and state emergency management agency staff, and many other agencies have set up what is literally the biggest small town in this part of Somerset County, all in less than 24-hours.”

“Somerset Crash Site - Courtesy of PennDOT, the road leading to the emergency operation center and the bluff overlooking the crash site were paved on Saturday, Sept. 15. Paving helps control dust and facilitates families of the crash victims visiting the site.”

Instrumental Betterment Instrumental Betterment from September 11thfrom September 11th

According to Lee Clark:According to Lee Clark:• Bridal shops in NY had increased Bridal shops in NY had increased

revenue revenue

• Homeland security threats and the Homeland security threats and the patriot act helped out intelligence patriot act helped out intelligence agencies. agencies.

• The tax cuts helped out the largest The tax cuts helped out the largest corporations and high income earners. corporations and high income earners.

Private Land sold to memorial Private Land sold to memorial campaign campaign

PBS Coal Co.: 864 acresPBS Coal Co.: 864 acresSvonavec Inc.: 273 acresSvonavec Inc.: 273 acresTimothy Lambert: 163 acresTimothy Lambert: 163 acresThe Kordells: The Kordells: (co-owner of Rollock Inc.)(co-owner of Rollock Inc.)143 acres 143 acres The O'Bartos: 57 acres The O'Bartos: 57 acres Alvin and Karen Lambert: 42 Alvin and Karen Lambert: 42 Edwin Seymour: 12Edwin Seymour: 12Oscar and Eva Eschrich: 4Oscar and Eva Eschrich: 4Paul E. Vish: 3 acres with a house and Paul E. Vish: 3 acres with a house and garagegarageThe Hoovers: 2 acres with house and The Hoovers: 2 acres with house and cabincabin

Peirce, Paul. "Red tape slows Flight 93 memorial in Somerset County." Pittsburgh Tribune-Review. 01 July 2007. 20 Oct 2007 <http://www.pittsburghlive.com/x/pittsburghtrib/s_515286.html>.

Does Lisa Beamer qualify as Does Lisa Beamer qualify as benefiting instrumentally?benefiting instrumentally?

“ “Let’s roll” Let’s roll” TMTM

Trademark # 76380435Trademark # 76380435Todd M. Beamer Memorial Foundation, Inc., New Jersey P.O. Todd M. Beamer Memorial Foundation, Inc., New Jersey P.O.

Box 32 Cranbury New Jersey 08512Box 32 Cranbury New Jersey 08512

1988 Yellowstone Fires1988 Yellowstone Fires

• Worst fire season Worst fire season in Yellowstone in Yellowstone historyhistory

• Burned 793,000 Burned 793,000 acres (36% of the acres (36% of the park)park)

Total park acreage = Total park acreage = 2,221,800 acres2,221,800 acres

Photo by Jim Peaco

Photo by Jeff Henry

• Park’s natural fire policy Park’s natural fire policy allowed only naturally allowed only naturally started fires to burn; all started fires to burn; all others were suppressed.others were suppressed.

• Between 1972 (when the Between 1972 (when the policy was enacted) and policy was enacted) and 1987, 235 fires burned a 1987, 235 fires burned a total of 33,759 acres.total of 33,759 acres.

• Of these 235 fires, only 15 Of these 235 fires, only 15 were larger than 100 were larger than 100 acres, and all were acres, and all were extinguished naturally.extinguished naturally.

• After much media focus, After much media focus, public and political pressure public and political pressure forced park officials to try to forced park officials to try to extinguish all the fires burning extinguish all the fires burning in the parkin the park

• 25,000 firefighters were called 25,000 firefighters were called in during the season to fight in during the season to fight the fires (as many as 9,000 at the fires (as many as 9,000 at one time)one time)

• Fires were eventually put out Fires were eventually put out by winter snows; firefighters by winter snows; firefighters were unable to do sowere unable to do so

Total Cost = $120 Million Total Cost = $120 Million

• What did we learn?What did we learn?– Fire is a natural part of Fire is a natural part of

a healthy foresta healthy forest– Allowing wildfires to Allowing wildfires to

burn whenever possible burn whenever possible limits fuel buildup (a limits fuel buildup (a factor that influenced factor that influenced the severity of the the severity of the 1988 fire season)1988 fire season)

• Yellowstone’s natural burn Yellowstone’s natural burn policy still exists but has policy still exists but has stricter guidelines and is stricter guidelines and is used in combination with used in combination with other strategies such as other strategies such as controlled burningcontrolled burning

Great Seattle Fire (1889)Great Seattle Fire (1889)

• Started downtown in a Started downtown in a woodworking shop on June woodworking shop on June 6, 18896, 1889

• 25 city blocks (120 acres) 25 city blocks (120 acres) were burned, including were burned, including most of the downtown most of the downtown area.area.

• Total losses estimated at Total losses estimated at up to $20 millionup to $20 millionPhoto Credit: Boyd and Braas

• Most structures in the area Most structures in the area were made of woodwere made of wood

• Fire hydrants were only Fire hydrants were only located on every other located on every other streetstreet

• Pipes for hydrants were too Pipes for hydrants were too small, and in some cases small, and in some cases made of hollowed-out logsmade of hollowed-out logs

• Water was supplied by a Water was supplied by a private company, and private company, and pressure was inadequate pressure was inadequate for fighting the firesfor fighting the fires

Photo by John P. Soule

Great Seattle Fire (1889)Great Seattle Fire (1889)Silver LiningSilver Lining

– No human fatalities No human fatalities were reportedwere reported

– An estimated 1 An estimated 1 million rats were million rats were killed by the blazekilled by the blaze

– The fire prompted The fire prompted many changes for many changes for the better…the better…

Great Seattle Fire (1889)Great Seattle Fire (1889)Social BettermentSocial Betterment

– Wood buildings were Wood buildings were banned in the downtown banned in the downtown area; Brick and mortar are area; Brick and mortar are used insteadused instead

– Fire department, which Fire department, which was volunteer, became a was volunteer, became a full-time paid departmentfull-time paid department

– City took control of water City took control of water supply, adding more supply, adding more hydrants and improving hydrants and improving infrastructure city wideinfrastructure city wide

Photo Credit: University of Washington Library

Hurricane KatrinaHurricane Katrina

Silver LiningsSilver Linings

Summary of Events:Summary of Events:

• Formed on August, 23,2005Formed on August, 23,2005

• Reaches a category 5 storm with 175 mph windsReaches a category 5 storm with 175 mph winds

• Deadliest and costliest storm in U.S. historyDeadliest and costliest storm in U.S. history

• 1,836 fatalities1,836 fatalities

• $81.2 billion in damages

• 3 million without power

• Failure of levees results in flooding of 80% of city Failure of levees results in flooding of 80% of city and neighboring parishes causing catastrophic and neighboring parishes causing catastrophic damagesdamages

• Federal disaster declarations covered 92,0000 square miles

• Affected areas: Bahamas, Cuba, South Florida, Florida Panhandle, Louisiana, Alabama, Mississippi

Were There Any Heroes?Were There Any Heroes?

• Of the 60,000 people stranded in New Orleans, the Coast Guard rescued Of the 60,000 people stranded in New Orleans, the Coast Guard rescued more than 33,500. Congress recognized this response with an entry in the more than 33,500. Congress recognized this response with an entry in the

Congressional record.Congressional record.

• The Armed Service was awarded the Presidential Citation.The Armed Service was awarded the Presidential Citation.

• 58,000 National Guard personnel from all 50 states were activated to deal 58,000 National Guard personnel from all 50 states were activated to deal with the storm’s aftermath. with the storm’s aftermath.

• Law enforcement and public safety agencies from across the U.S., provided Law enforcement and public safety agencies from across the U.S., provided a “mutual aid” response.a “mutual aid” response.

• Internationally, over 70 countries pledged monetary donations, supplies, Internationally, over 70 countries pledged monetary donations, supplies, and/or assistance.and/or assistance.

• Non-profits, volunteers and corporations also contributed to the relief Non-profits, volunteers and corporations also contributed to the relief efforts. efforts.

Was there Structured Destruction Was there Structured Destruction and Inequities of the Moment?and Inequities of the Moment?

• 50% of New Orleans sits below sea level. The poorer 50% of New Orleans sits below sea level. The poorer residents inhabit the lower elevations; The richer residents inhabit the lower elevations; The richer inhabit higher ground.inhabit higher ground.

• Due to a century of poor planning and industrial Due to a century of poor planning and industrial abuse, more than 1 million acres of coastal wetlands abuse, more than 1 million acres of coastal wetlands drained, stripping away natural protectiondrained, stripping away natural protection

• Substandard levee systemSubstandard levee system

• Aged and under funded water and sewage systems Aged and under funded water and sewage systems resulting in complete loss of drinking waterresulting in complete loss of drinking water

““Low income people suffer disproportionately in not only the Low income people suffer disproportionately in not only the disaster itself, but in the aftermath, causing human disaster as disaster itself, but in the aftermath, causing human disaster as

well.”well.”

Instrumental and Social Instrumental and Social Betterment:Betterment:

• The Greater New Orleans Health Planning Group convened in November The Greater New Orleans Health Planning Group convened in November 2005 and developed the framework identifying priority areas across the 2005 and developed the framework identifying priority areas across the entire spectrum of public health; in which, fundamental changes in the entire spectrum of public health; in which, fundamental changes in the design of the healthcare system needed to be made.design of the healthcare system needed to be made.

• The destruction wrought by Katrina raised general public policy issues The destruction wrought by Katrina raised general public policy issues about emergency management, the immediate response, environmental about emergency management, the immediate response, environmental policy, poverty and unemployment.policy, poverty and unemployment.

• A Congressional investigation was prompted determining that FEMA and A Congressional investigation was prompted determining that FEMA and The Red Cross “did not have a logistics capacity sophisticated enough to The Red Cross “did not have a logistics capacity sophisticated enough to fully support the massive number of victims.” Hence, responsibility was fully support the massive number of victims.” Hence, responsibility was placed on all three levels of governmentplaced on all three levels of government..

Imagination Stretch:Imagination Stretch:

Condemnations of mismanagement and Condemnations of mismanagement and lack of leadership in all phases of the lack of leadership in all phases of the disaster cycle.disaster cycle.

Images of visibly shaken and frustrated Images of visibly shaken and frustrated political leaders and residents without political leaders and residents without food, water or shelter flooded the media food, water or shelter flooded the media like never before.like never before.

Accusations based on race, class, Accusations based on race, class, ethnicity and a Lack of preparedness, ethnicity and a Lack of preparedness, planning and coordination as well as planning and coordination as well as many other issues were raised.many other issues were raised.

Advancements in structural design and Advancements in structural design and mitigation efforts.mitigation efforts.

Air France - Concorde CrashAir France - Concorde Crash

• Air France Flt 4950Air France Flt 4950

• July 2000July 2000

• ““Worst” Concorde disaster everWorst” Concorde disaster ever

• 109 died on the aircraft109 died on the aircraft

• 4 killed on the ground4 killed on the ground

The ConcordeThe Concorde

Prior to this Prior to this incident the incident the

Concorde had Concorde had been the safest been the safest

working working passenger airliner passenger airliner

in the worldin the world http://www.aviation-news.co.uk/media/novConcordeD10.jpg

The Concorde Crash

Inequities/Structured Inequities/Structured DestructionDestruction

“ “Rich people were at disproportionate risk.”Rich people were at disproportionate risk.”

Ticket on the Concorde = $11,000Ticket on the Concorde = $11,000

The accident led to modifications to the The accident led to modifications to the Concorde, including more secure electrical Concorde, including more secure electrical

controls, Kevlar lined fuel tanks, and specially controls, Kevlar lined fuel tanks, and specially developed, burst-resistant tires. developed, burst-resistant tires.

The new-style tires would be another contribution to future aircraft The new-style tires would be another contribution to future aircraft development.development.

The ConcordeThe ConcordeSilver LiningSilver Lining

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